# signal8ai/signal8-mcp [Health: Active]

**Category:** 💰 Finance & Fintech  
**Repository:** https://github.com/signal8ai/signal8-mcp  
**GitHub Stars:** 1  
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**Directory Page:** https://allmcps.com/mcp/signal8ai-signal8-mcp

## Description
SEC filing intelligence for AI agents: insider (Form 4) & institutional (13F) ownership, dilution-risk scoring, congressional & executive (STOCK Act) trades, FEC campaign finance, SEC filing search, compliance monitoring, and a dilution-aware stock screener. 86 tools over live Signal8 data.

## Tools
Capabilities this server exposes over MCP:

- **search_companies** — Search for companies by name or ticker symbol in the Signal8 database. Returns matching companies with their ticker, name, CIK, and exchange. Use this as the first step to find a company before calling other tools.
- **get_company_profile** — Get an enriched company profile by ticker symbol. Returns CIK, exchange, sector, industry, market cap, employee count, description, and other fundamental data. This is a lightweight lookup (1 credit) -- use this when you only need basic company info rather than the full bundle. Always includes halted/haltCode/haltedAt trading-halt status (false/null when trading normally); a halted-but-listed ticker reports delisted:false.
- **get_quote** — Get the current stock quote for a company including price, volume, change, market cap, and other real-time market data. Use this when a user asks about a stock's current price or trading activity. Always includes halted/haltCode/haltReason/haltedAt/resumptionAt trading-halt fields (false/null when trading normally); a halted ticker returns the last-known quote instead of an error, or currentPrice:null + halted:true when nothing is recoverable.
- **get_market_metrics** — Get computed market metrics for a company including volume averages, volatility, SMAs, and trend direction. Use when analyzing trading patterns or technical indicators beyond the basic quote.
- **get_short_interest** — Get short interest data for a company including short volume, short ratio, days to cover, and short percent of float. Use when analyzing bearish sentiment or potential short squeeze setups.
- **get_float** — Get float and share structure data for a company including shares outstanding, public float, insider ownership percentage, and institutional ownership. Use when analyzing share supply and ownership concentration.
- **get_float_history** — Get the POINT-IN-TIME float history for a company — one sample per trade date (float shares, shares outstanding, and the source the float came from). Use to answer "what was the float on date X" or to see float expand across a dilution event, which the latest-only get_float cannot show. IMPORTANT: this series is FORWARD-ONLY — it began accumulating in mid-2026 and is NOT backfilled, so early/absent history is expected and an empty rows array is a normal result, not an error or a delisted company. Each row carries "source" ("polygon" | "computed" | "sec_10k" | "fmp") because float quality varies by provider — weigh rows accordingly rather than treating all sources as equal. Charged per your API tier.
- **get_historical_prices** — Get historical OHLCV price candles for a stock. Supports daily, weekly, and monthly resolutions. Use period shorthand (1M, 3M, 6M, 1Y, 5Y, ALL) or explicit from/to UNIX timestamps. Default is 1 year of daily candles. Use this to compute price returns, chart price history, or analyze volume trends over time.
- **get_stock_price_change** — Get percentage price changes for a stock across multiple timeframes: 1D, 5D, 1M, 3M, 6M, YTD, 1Y, 3Y, 5Y, 10Y, and MAX. Use this for quick "how much is it up/down" answers without fetching full candle data.
- **get_financials** — Get income statement, balance sheet, and cash flow data for a company. Supports annual, quarterly, and trailing-twelve-month views. Use when analyzing revenue, profitability, debt, or cash position.
- **get_earnings** — Get historical earnings data for a company including EPS actual vs estimate, revenue actual vs estimate, and surprise percentages. Use when analyzing earnings beats/misses or upcoming earnings expectations.
- **get_executives** — Get key executives and officers of a company including name, title, compensation, and tenure. Use when researching company leadership or management quality.
- **get_news** — Get recent news articles and press releases for a company. Use when researching recent developments, catalysts, or sentiment drivers. Set pressReleasesOnly to return only official company press releases.
- **get_analyst_consensus** — Get analyst ratings consensus for a company including average target price, number of analysts, buy/hold/sell breakdown, and consensus recommendation. Use when evaluating Wall Street sentiment or price targets.
- **get_analyst_estimates** — Get forward analyst estimates for a company including EPS, revenue, EBITDA, and net income (low/high/avg) with analyst counts. Supports annual and quarterly periods. Use when analyzing forward earnings expectations or revenue forecasts.
- **get_clinical_trials** — Get clinical trial data for a biotech/pharma company including trial phase, status, conditions, and interventions. Use when analyzing a biotech company's pipeline or upcoming catalyst events.
- **search_clinical_trials** — Search clinical trials market-wide (cross-company). Distinct from get_clinical_trials, which is scoped to a single ticker. Filter by phase, indication, sponsor, status, and date window; sort and paginate the results.
- **get_top_movers** — Top stock movers — gainers (largest % up), losers (largest % down), or active (highest volume). Optional session window (premarket / regular / afterhours; regular default; not supported for active). Optional date (YYYY-MM-DD) returns a PAST trade date's gainers/losers on a historical daily close-to-close basis (computed from split-adjusted daily bars, NOT intraday) — session is rejected when date is set, date is not supported for direction=active, and a non-trade date (weekend/holiday) returns an empty list (not an error). Penny-stock artifacts are filtered by default — set includePennyStocks to include sub-$1 movers.
- **get_market_news** — Get the latest market-wide news across ALL tickers, most recent first. Every item is significance-classified at ingest (critical | major | standard); the default filter of critical,major is the "top stories" view. Use for "what is happening in the market right now" — for news about one company, use get_news with a ticker instead. Requires the /news/latest public endpoint (added 2026-07-29; 404 until that backend deploy).
- **get_market_breadth** — Get market breadth aggregates (advance/decline counts and ratio, percent of constituents above their 50DMA and 200DMA, and counts of new 52-week highs/lows) for a chosen universe (sp500, ndx, or all). Use to add market-state context to commentary, tweets, or daily summaries.
- **get_trading_halts** — List currently-active trading halts across NASDAQ/NYSE/AMEX (from the consolidated Nasdaq Trader halt feed). Each halt includes ticker, market, haltCode (T1/T2/T12/LUDP/H10/...), human-readable reason, haltedAt, and the scheduled resumptionAt when one is set. An EMPTY list is a normal state (no active halts right now), not an error. Halts are tradeable catalysts — use this to discover halted names, then get_quote for the frozen last price.
- **get_earnings_calendar** — Get upcoming and recent earnings releases between two dates. Optionally restrict to a list of tickers. Returns ticker, date, time (BMO/AMC), EPS estimate, and revenue estimate when available. Supports market cap filtering to focus on large-cap or small-cap earnings only.
- **get_economic_calendar** — Get scheduled macro/economic events (CPI, FOMC, jobs reports, GDP, etc.) between two dates. Optionally filter to a single country (ISO-3166 alpha-2, e.g. "US"). Defaults to US when omitted.
- **get_filing_calendar** — Get the forward-looking 10-K / 10-Q SEC filing-deadline calendar within a date window. Optionally restrict to a universe (sp500/ndx/dji/all) and/or a list of form types (default both 10-K and 10-Q).
- **get_post_earnings_movers** — Get stocks that moved significantly after earnings reports on a given date. Returns pre-computed price changes with earnings surprise data in a single call — no need to chain get_earnings_calendar + get_historical_prices + get_quote per ticker. Includes preEarningsClose, currentPrice, changePct, EPS/revenue actuals vs estimates, and surprise percentages. Filter by minimum absolute % change threshold.
- **get_recent_material_filings** — Recent material 8-K filings (last 7 days) for the constituents of an index universe. By default returns the high-signal 8-K item codes (material agreements, M&A, executive changes, restructurings, etc.); pass `items` to filter to specific 8-K item codes. Choose the universe with `universe`.
- **screen_sec_filings** — Screen SEC filings across all companies with company-level filters (sector, industry, market cap, exchange) combined with filing-level filters (form type, date range). Returns filings enriched with company metadata: ticker, sector, industry, exchange, market cap, and price. Use this to answer questions like "find all S-1 filings from biotech companies under $500M market cap" or "show me recent 8-K filings from Technology sector companies". This is the most powerful filing DISCOVERY tool for filings — use search_sec_filings only when you already know the specific CIK. This tool returns FILINGS, not a company universe: to enumerate or COUNT companies by market cap / price / float (e.g. "find all companies under $300M market cap"), use screen_companies instead — it supports minMarketCapComputed / maxMarketCapComputed and returns a real total COUNT.
- **search_sec_filings** — Search and list SEC filings with filtering by company (CIK), form type, and date range. Returns paginated results with filing metadata including form type, filing date, company name, and accession number. Use this to find filings before reading their content with get_filing_document or get_filing_exhibits.
- **get_filing_document** — Get the full raw text/HTML content of an SEC filing by its internal filing ID. Returns the complete filing document which can be very large (10-K filings can be 1MB+). Use the maxLength parameter to truncate content for previews. The response includes company_name, form_type, filing_date, cik, and accession_number alongside the content. Find filing IDs using search_sec_filings first.
- **get_filing_exhibits** — List all exhibits (individual documents) within an SEC filing. Returns exhibit metadata including exhibit type, description, and content size. Use this to identify which exhibits to read with get_exhibit_content. Excludes XML/XBRL exhibits.
- **get_exhibit_content** — Get the full text/HTML content of a single exhibit from an SEC filing. Returns the exhibit text along with exhibit_type, description, company_name, accession_number, and form_type. Use the maxLength parameter to truncate large exhibits. Find exhibit IDs using get_filing_exhibits first.
- **search_filing_text** — Full-text substring search across all SEC filing exhibit content. Returns matching snippets with context around each match. Powerful for finding specific clauses like "change of control", "anti-dilution", "right of first refusal", or any specific language across filings. Optionally filter by company (CIK), filing, accession number, or form type.
- **lookup_accession_number** — Look up a filing or exhibit by its SEC accession number. Supports both dashed format (e.g., "0001193125-22-010026") and compact 18-digit format. Returns filing metadata including company name, form type, filing date, and exhibit count. If the filing is in the local database, returns full metadata; if only found on SEC EDGAR, returns basic metadata with an isInDatabase: false flag.
- **screen_sec_filings_performance** — Analyze stock price performance after SEC filings. Returns individual filing records with pre-computed price returns at +1 day, +3 days, +7 days, and +30 days after the filing date, plus aggregate statistics (average, median, % negative, best, worst) across all matching filings. Combine company-level filters (sector, industry, market cap, exchange) with filing filters (form type, date range). Use this to answer questions like "how do biotech stocks perform after S-1 filings?" or "what is the average 7-day return after 8-K filings from companies under $500M market cap?".
- **get_insiders** — Get insider trading discovery data for a company. Includes cluster buying detection, entity-centric insider model, and Form 4 cross-referencing. Shows insider transactions with buying/selling patterns that may signal upcoming corporate actions. Each insider includes a transactionBreakdown by SEC code (P=Purchase, S=Sale, F=Tax withholding, M=Exercise, G=Gift, A=Award), netSharesSold12m (code S only, excludes tax withholding), and isPrimarilyTaxWithholding flag to distinguish routine RSU vesting from discretionary selling. Supports pagination with limit/offset.
- **get_ownership** — Get unified ownership breakdown for a company combining Form 4 insider holdings, 13F institutional holdings, and 13D/13G activist positions. All entities are resolved across the three SEC form types into a single view with counterparty resolution. The allHolders array is paginated via limit/offset (default 100). Aggregate stats (institutional/insider/beneficial/retail totals and percentages) are always included in full.
- **get_institutions** — Get institutional holders (13F filers) for a company. Returns institutions that hold positions in this stock based on SEC 13F filings, including shares held, portfolio weight, and filing dates. Useful for understanding institutional ownership concentration.
- **get_institution_detail** — Get detailed information about a specific institutional investor by their SEC CIK number. Returns the institution name, total AUM, number of holdings, and filing history. Use get_institutions first to find the CIK for an institution.
- **get_institution_holdings** — Get the full portfolio holdings for a specific institution by CIK. Returns all positions from their latest 13F filing with shares, value, and portfolio weight. Supports pagination for institutions with large portfolios.
- **get_institution_position_changes** — Diff two quarterly 13F snapshots for an institution. Compares the latest filing against the prior quarter and returns per-position changes: new positions, increased, decreased, and exited. Sorted by |changePercent| descending so the biggest moves surface first. Much more efficient than calling get_institution_holdings twice and diffing client-side — the server computes everything in a single SQL query.
- **get_institution_activity** — Get an institution's position changes over recent 13F periods by CIK. Reads the number of trailing periods to include.
- **get_institution_filings** — Get the list of 13F filings for an institution by CIK, with pagination.
- **get_institution_derivatives** — Get an institution's reported PUT/CALL derivative positions by CIK (13F options), with pagination and sorting.
- **get_institution_portfolio_analytics** — Get sector allocation and top holdings analytics for an institution's portfolio by CIK.
- **get_institutions_leaderboards** — Two market-wide institution leaderboards in one call: topByAum (largest holders by assets under management, name-deduped) and mostActive (highest 13F position-change volume). No CIK required. For the full paginated AUM list use get_institution_top_aum.
- **get_insider_transactions** — Get detailed insider transaction history for a company from Form 4 filings. Returns individual buy/sell transactions with insider name, title, shares, price, and transaction codes. Supports pagination for companies with extensive insider activity. Filter by year/month to narrow results, or use transactionCode to find only purchases (P), sales (S), etc. Useful for identifying "first insider buy since X" patterns.
- **get_insider_cluster_buys** — Detect cluster buying patterns for a company. Identifies periods where 3+ distinct insiders purchased shares within a 14-day window -- a strong bullish signal that often precedes positive corporate announcements or price appreciation.
- **get_institution_top_aum** — Discover top institutional holders across the entire company universe ranked by assets under management (AUM). Unlike get_ownership which shows institutions for a single company, this tool searches across all companies to find the largest institutional players. Optionally set a minimum AUM. Useful for identifying smart money flows and major institutional positioning trends.
- **search_institutions** — Search institutional investors (13F filers) by name. Returns matching institutions with CIK, name, AUM, holdings count, and latest filing period. Use this to find a specific fund or investment manager when you know part of their name (e.g., "Vanguard", "BlackRock", "Citadel"). Results are ranked by AUM descending.
- **get_insider_cross_company** — Discover insider trading patterns across multiple companies. Unlike get_insiders which shows insider activity for a single ticker, this tool searches the entire universe to find insiders active across multiple companies, cluster buying patterns, and large transactions. Filter by insider name, transaction type, or date range. Useful for detecting coordinated insider activity, cross-company insider networks, and market-wide buying/selling trends.
- **get_compliance** — Get full compliance rules evaluation for a company. Runs Nasdaq/NYSE deficiency detection, bid price tracking, and delinquent filing detection. Returns a comprehensive compliance picture combining SEC filing data, market data, and exchange rules. This is the most thorough compliance check available (25 credits).
- **screen_companies** — Screen companies by price range, volume, cash runway, float, shares outstanding, market cap, industry, listing exchange (NASDAQ/NYSE/AMEX), and float data source. Sort results by any sortable column. Returns matching companies with key metrics and pagination. Each row carries live trading-halt status (halted/haltCode/haltedAt; false/null when trading normally); pass excludeHalted=true to drop currently-halted tickers from the results.
- **get_premarket_scan_history** — Historical MARKET-WIDE premarket scan for a single PAST trade date. For the requested ET date, returns every ticker with that day's premarket (default) session volume and its relative volume (RVOL) vs the trailing 90-day same-session baseline — the SAME RVOL math as get_rvol_history, but across the whole market for one date instead of one ticker across many dates. Filter by RVOL, market cap, price, and float to backtest screens like "sub-$500M tickers with premarket RVOL > 5 on 2026-07-20" in one call. Rows are ranked by RVOL descending. A future or non-trading date returns an empty list with an explanatory reason (not an error). Every row also reports "baselineState" (why its RVOL is or is not null), "advRatio" (volume ÷ trailing 30-session average FULL-DAY volume) and "advDays"; set includeNoHistory=true to surface high-volume tickers that have no computable RVOL at all, such as first-session new listings. Each row ALSO publishes the RVOL denominator itself as "baselineVolume" (shares) plus a "baselineThin" flag (true when that denominator is under 200 shares): a 90x RVOL off a 1-share baseline is arithmetically correct and analytically worthless. That is almost entirely an asOfTime-basis effect (0.1% of full-session rows vs ~38% at the 04:30 cutoff, falling to ~9% by 09:15) and it skews to LIQUID LARGE CAPS that simply do not trade early, NOT to microcaps. Screen it out with minBaselineVolume and/or minSessionVolume. The response "meta" also reports asOfApplied / asOfIgnored / asOfIgnoredReason, so a time-of-day request that could not be honoured is visible instead of quietly returning full-session numbers. Charged per your API tier.
- **get_split_history** — Get stock split history for a company including forward and reverse splits with dates, ratios, type classification, and cumulative 2-year reverse split ratio. Relevant for NASDAQ/NYSE minimum bid-price compliance (1:250 cumulative reverse-split cap).
- **get_etf_bundle** — Get aggregated ETF data in a single call. Combines multiple data sources (profile, holdings, sector weightings, country exposure, performance, news, analyst coverage, and comparables) into one response. Each data type is cached independently. Specify which types to include or omit to get above-the-fold defaults (profile, stock-summary, holdings, sectors).
- **get_politicians** — List and search congressional politicians who have STOCK Act trading disclosures. Filter by party (D/R/I), state, or search by name. Returns paginated results with trade counts, last trade date, and net buy/sell direction over the trailing 12 months.
- **get_politician_detail** — Get the full profile for a politician including party, state, chamber, trade statistics, filing delay metrics, most traded sector, and their 10 most recent transactions. Use get_politicians first to find the slug (e.g. "sen-nancy-pelosi").
- **get_politician_transactions** — Get paginated trade history for a specific politician. Returns individual STOCK Act disclosures with ticker, transaction type, amount range, filing delay, and late filing flag. Includes a summary with total buys/sells and net value.
- **get_politician_activity** — Get activity metrics for a politician broken down by period (30d, 90d, 1y, all-time). Includes buy/sell counts and values per period, most traded tickers (top 10), and transaction type breakdown. Useful for analyzing trading patterns over time.
- **get_politicians_most_active** — Discover the most active congressional traders ranked by trade count within a lookback period. Returns each politician with trade count, tickers traded, buy/sell values, and top tickers. Useful for identifying the most prolific political traders.
- **get_politician_recent_trades** — Get recent STOCK Act trades across all politicians. Each trade includes the senator info, ticker, transaction type, amount, and filing delay. Filter by direction (buy/sell) and lookback period. Useful for monitoring current congressional trading activity.
- **get_politician_late_filers** — Get STOCK Act late filing violations -- trades where the disclosure was filed more than 45 days after the transaction (a legal violation). Sorted by filing delay descending. Useful for identifying politicians with poor disclosure compliance.
- **get_politician_committees** — Get committee assignments for a politician including committee name, chamber, role (Chair, Ranking Member, etc.), and subcommittee memberships. Use to correlate trading activity with committee oversight areas. Requires a politician slug (e.g. "sen-nancy-pelosi") -- use get_politicians first to find the slug.
- **get_politician_votes** — Get voting records for a politician by slug. Returns congressional votes with bill info, position (Yea/Nay/Not Voting), and result. Useful for assessing alignment between a politician's votes and their trading positions. Requires Bioguide ID resolution.
- **get_politician_pnl** — Get estimated realized + unrealized profit & loss for a politician. Methodology: each disclosed trade amount range is converted to an estimated share count using the stock's historical market price on the transaction date, then FIFO-matched on SHARES (realized = (sellPrice − buyPrice) × matched shares); open positions are marked to the current price for unrealized P&L. Works for Congress (sen-/rep-) AND executive branch (exec-) officials. Response includes a `totals` object (estimatedRealizedPnl, estimatedUnrealizedPnl, winRate, realizedTrades, tickersTraded) and a `byTicker[]` breakdown (estimatedShares, avgCostBasis, currentPrice, realizedPnl, unrealizedPnl, unrealizedPnlPercent) — byTicker open positions double as the estimated holdings. All figures are ESTIMATES (±25-40% from disclosure bracket width). Use get_politicians first to find the slug.
- **get_politicians_pnl_leaderboard** — Rank politicians (Congress + executive branch) by estimated trading P&L across the universe. Sort by total P&L, win rate, or traded volume. P&L uses price-adjusted share estimation: disclosed amount ranges → estimated shares via historical price → FIFO on shares → open positions marked to current price. Figures are ESTIMATES (±25-40% from disclosure bracket width).
- **get_politician_roles** — Get committee leadership roles (Chair, Ranking Member, etc.) for a politician. Use get_politicians first to find the slug.
- **get_recent_congressional_votes** — Get recent congressional roll-call votes across all members, sourced from GovTrack (both chambers as available — currently Senate-heavy). Each vote includes member, bill info, position, and result.
- **get_recently_sponsored_bills** — Get the most recently introduced bills across all congressional sponsors. Each bill includes the sponsor block (bioguideId, fullName, party, state, politicianSlug) so persona agents can link directly to the sponsor detail page. politicianSlug is null when the sponsor is no longer in the active roster (typically ex-members). Requires CONGRESS_API_KEY on the backend.
- **get_political_sector_rotation** — Which market SECTORS politicians have been trading in over a trailing window. Aggregates congressional + executive trades by sector and returns, per sector: trade count, total dollar volume, number of distinct politicians, and the top tickers. Use it to see where political trading activity is concentrating (e.g. "politicians piled into Energy this month"). Sort by count or dollar volume.
- **get_senate_trades_by_ticker** — Reverse lookup — find which politicians recently traded a given TICKER. Returns recent STOCK Act disclosures for that symbol with politician info, transaction type, and amount.
- **get_cash_position** — Get the Signal8 AI cash position model for a company. Returns the cash anchor (from latest 10-K/10-Q), prorated burn rate, post-anchor capital raises, material cash events, and three runway scenarios (closed, pending, announced). Use when analyzing a company's current cash situation, runway, or capital raise activity. Returns 404 when no cash-position model is available for the requested ticker.
- **get_cash_history** — Get up to 10 years of quarterly cash position history from SEC XBRL filings (data.sec.gov company-facts). Returns an array of {periodEnd, usd, formType, isAnnual} sorted chronologically. Deduped by period with annual filings preferred over quarterly. Not feature-gated — works for any company with SEC filings.
- **screen_must_raise** — Find companies with imminent capital raise needs based on estimated cash runway. Defaults to companies with less than 6 months of cash remaining, sorted by urgency (lowest runway first). Useful for identifying distressed companies, imminent dilution situations, or potential financing catalysts. Runway is estimated from current burn rate.
- **get_cash_runway_calendar** — Find companies projected to run out of cash within a date window. Similar to lockup expiration calendars but for cash depletion events. Returns companies sorted by urgency (lowest runway first). Runway is an estimate based on current burn rate — actual depletion depends on future capital raises and operational changes. Default window is today to 90 days out.
- **get_intraday_bars** — Get intraday OHLCV candles at 1, 5, 15, 30, or 60-minute resolution. Use for intraday price action analysis, volume patterns, and short-term technical analysis. Returns open, high, low, close, and volume for each bar. Set extended=true (1-minute resolution only) to include premarket (04:00–09:30 ET) and after-hours (16:00–20:00 ET) bars.
- **get_volume_profile** — Get volume distribution across price levels for a single trading day. Returns price buckets with volume, Point of Control (highest volume level), and Value Area (price range containing 70% of volume). Use for identifying support/resistance and high-volume price nodes.
- **get_accumulation_snapshot** — Get intraday accumulation/distribution metrics for the current or most recent trading session. Returns session VWAP, volume above/below VWAP, estimated buy vs sell volume (tick rule), volume by time period (morning/midday/afternoon), and comparison to average volume. Use for assessing real-time buying/selling pressure.
- **get_insider_positions** — Get current open insider positions for a CIK (either an insider or an issuer). If an issuer (company) CIK is supplied, returns all insiders' positions for that company. If an insider (reporting-person) CIK is supplied, returns that insider's open positions across all issuers they have filed Form 4 for. The response includes a `lookupMode` field (`"issuer"` or `"insider"`) indicating which interpretation matched. Derived from Form 4 filings.
- **get_insider_positions_by_ticker** — Get per-insider lifetime position aggregates for a given ticker — which insiders hold positions in the stock and their aggregate cost/value. Derived from Form 4 filings.
- **get_analyst_grades** — Get recent analyst grade actions (upgrades, downgrades, initiations) for a ticker, including the grading firm and previous/new grade.
- **get_price_target** — Get analyst price target data for a ticker. By default returns the consensus / split-adjusted average price target. Set list=true to return the full per-analyst list of individual price targets instead.
- **get_analyst_coverage** — Get aggregated analyst coverage for a ticker — consolidated view of grades, targets, and coverage breadth across covering firms.
- **get_politician_donors** — Get the paginated list of campaign donors (individuals and PACs) for a single politician across one election cycle. Returns donor name, amount, type, employer/occupation (individuals), and committee details (PACs). Use this when a user asks "who donated to <politician>" or wants the full donor list. For a quick top-10 + cycle totals overview, use get_politician_donor_summary instead.
- **get_politician_donor_summary** — Get a bundled donor summary for a single politician: cycle totals (raised, spent, cash-on-hand, debts), donor count, top 10 individual donors, and top 10 PAC donors — all in one response. This is the right tool for "who funds <politician>" or "biggest donors to <politician>" style questions. For the full paginated list, use get_politician_donors.
- **get_donor_aggregates** — Get market-wide campaign-finance rollups across ALL tracked politicians for a cycle: total raised, top 10 individual donors, top 10 PACs, party/chamber/cycle splits, and a most-funded politician leaderboard. Use for "who are the biggest donors in 2024?" or "which party raised more?" type questions. For a single politician, use get_politician_donor_summary.
- **get_policy_events** — List mirrored executive orders (policy events) from the Federal Register feed. Filter by signing-date range, affected sector, or free-text title query. Each event includes its Federal Register document number (externalId), title, signing date (eventDate), normalized affected sectors, full-text URL, and flaggedTradeCount — the number of official trades that occurred in an affected sector near the signing date. IMPORTANT: matches are sector-level co-occurrence — the official traded a stock in a sector the executive order affects, within a window of its signing date. Sector matches are broad and many trades will coincide with policy activity by chance; a match is a starting point for research, not evidence of foreknowledge. The matchBasis field describes match strength only ('sector' = broad sector match), never culpability, and matchCount shows how many EOs matched in the window (a noise indicator).
- **get_policy_trade_overlap** — For a single politician, list trades that occurred within a window of days before or after the signing of an executive order affecting the traded sector. Each row contains the trade, the nearestEvent, daysDelta (negative = traded N days before EO signing, positive = traded N days after), matchBasis, and matchCount, plus a summary (totalFlags, totalEstimatedUsd, topSector). Defaults to trades 1-14 days BEFORE signing; same-day trades are always excluded (intraday ordering is unknowable). Unlike get_donor_trade_overlap, executive-branch (exec-) slugs return REAL data here: both congressional and executive trade sources feed the overlap computation. IMPORTANT: matches are sector-level co-occurrence — the official traded a stock in a sector the executive order affects, within a window of its signing date. Sector matches are broad and many trades will coincide with policy activity by chance; a match is a starting point for research, not evidence of foreknowledge. The matchBasis field describes match strength only ('sector' = broad sector match), never culpability, and matchCount shows how many EOs matched in the window (a noise indicator).
- **get_policy_trade_leaderboard** — Rank politicians (Congress + executive branch) by trades that occurred near executive-order signings in sectors the orders affect. Each row includes the politician, flaggedTradeCount, totalEstimatedUsd, topSector, and an exampleEvent. Use for "who trades most around policy activity" style questions. Defaults to the same "traded 1-14 days before signing" lens as get_policy_trade_overlap; same-day trades are always excluded. IMPORTANT: matches are sector-level co-occurrence — the official traded a stock in a sector the executive order affects, within a window of its signing date. Sector matches are broad and many trades will coincide with policy activity by chance; a match is a starting point for research, not evidence of foreknowledge. The matchBasis field describes match strength only ('sector' = broad sector match), never culpability, and matchCount shows how many EOs matched in the window (a noise indicator).
- **get_legislative_calendar** — Forward-looking legislative catalyst calendar: upcoming House/Senate floor votes (bills and Senate cloture motions) filtered to items that can move tickers. Each item includes the predicted vote window (start/end/granularity/confidence/provenance), marketRelevance (low/medium/high), significance (1-5), affected sectors with direction + mechanism, verified affected tickers with evidence quotes, pass outlook, considerationProcedure (suspension-calendar bills pass ~98% of the time), a conflictBadge when the sponsor traded a verified affected ticker, and tweet/plain summaries. An EMPTY calendar is a normal state — it means nothing market-relevant is scheduled in the window, not an error. Defaults: from=today, to=+14 days, minRelevance=low. IMPORTANT: affectedTickers contains VERIFIED rows only — every ticker carries a verbatim evidenceQuote substring-verified against the actual bill text (no hallucinated tickers). sponsorTradeFacts are restatements of public STOCK Act disclosures with verbatim amount brackets and BOTH transactionDate AND disclosureDate — always cite both dates together (disclosures lag trades by up to 45 days), and never present a fact as evidence of wrongdoing. Vote windows are predictions: check window.provenance for trust level ('uc_explicit' is exact; 'rule_xxii_computed' is a medium-confidence estimate) and window.granularity for how precise the window is (exact time vs day vs week).
- **get_rvol_history** — Get the per-day relative-volume (RVOL) time series for a ticker, bucketed by trading session (premarket 04:00–09:30 ET, regular 09:30–16:00, afterhours 16:00–20:00, or all four). Each day's RVOL compares that session's volume to a trailing same-session baseline (90 days by default — configurable via "baselineDays"), so premarket volume is judged against premarket history (not a stale full-day figure). Use for spotting unusual premarket / session volume surges over the last N days. Each point also carries "baselineState" — "ready" (rvol is populated), "warming" (baseline not yet warm), "no-cutoff-history" (established ticker that never traded at this session/cutoff before) or "no-history" (new listing, no prior trading history at all) — so a null rvol is explained rather than silent. Points additionally carry "advRatio" (that day's volume ÷ the trailing 30-session average FULL-DAY volume, null when no full-day denominator exists) and "advDays" (its sample size), which give a magnitude to points RVOL cannot rate. advRatio is NOT an RVOL — it compares a partial session to a whole day, so it is typically well under 1 and must not be compared to rvol. Charged per your API tier.
- **get_premarket_scanner** — Get the live premarket scanner board — the top premarket gainers and losers by absolute gap %, each row enriched with rvol, marketCap, floatShares, short interest, dilution, and news/catalyst flags. Off-hours it falls back to the last session. Use for premarket small-cap runner discovery. Set includePennyStocks=true to include sub-$1 names (separate cache slot). During the 04:00–09:30 ET premarket window rows also carry two LIVE volume metrics off the same live cumulative-volume numerator — they are DIFFERENT quantities and must not be substituted for each other or for "rvol": "liveRvol" = live cumulative premarket volume ÷ the trailing 90-session average cumulative volume AT THE SAME TIME OF MORNING (answers "is it busy for 08:00?"), with "liveRvolAsOf" giving the 15-minute ET grid cutoff that baseline came from — compare it to meta.asOf (when the live volume was sampled) to judge the small numerator/denominator time skew; and "premarketPaceRatio" = the same live volume ÷ the trailing 90-session average FULL premarket session (answers "what fraction of a typical entire premarket has it already done?", >1.0 = it already beat a normal premarket before the open). Both are null outside the premarket window or until the baseline is warm — never a fabricated ratio. Set universe="lowfloat" for the separate LOW-FLOAT board (float under 10M shares, no top-100 slice) instead of the default movers-derived board; that board is served from the aggregator snapshot and returns an empty rows array with a meta.reason when no snapshot is currently published (a normal off-hours state, not an error). Charged per your API tier.

## Claude Desktop Quick Installation
Install path detected from listing signals. Uses `npx` (confidence: high):

```json
"mcpServers": {
  "signal8-mcp": {
    "command": "npx",
    "args": ["-y","@signal8ai/mcp"],
    "env": {
      "SIGNAL8_API_KEY": ""
    }
  }
}
```

**Requires environment variables:** `SIGNAL8_API_KEY` — the values above are empty placeholders; fill in real credentials before running (see the repository for what each one is for).

## Documentation

## What signal8ai/signal8-mcp MCP server does

The signal8ai/signal8-mcp MCP server connects MCP-compatible AI clients to Signal8 data covering public companies, markets, SEC filings, ownership, compliance, and related research. The repository describes 86 live tools, while noting that some documented categories may be disabled and not registered at runtime.

Company tools can search by name or ticker, return enriched profiles, provide current quotes, calculate market metrics, retrieve short interest and float data, and return historical prices or percentage changes. Additional company research includes financial statements, earnings, executives, news, analyst consensus and estimates, clinical trials, and peer-related information where available.

SEC workflows include filing discovery, company- and filing-level filters, raw filing document retrieval, and exhibit listing. Intelligence features cover insider transactions, institutional holdings, counterparties, legal counsel, cross-company patterns, compliance alerts, listing classification, dilution analysis, instruments, and company screening. Market-wide tools cover movers, breadth, news, calendars, trading halts, material filings, and post-earnings performance.

## How it works

The package runs as a local MCP process. An MCP client starts the npm command and communicates with the process using the client’s configured MCP connection. The server uses the `SIGNAL8_API_KEY` environment variable to authenticate requests to Signal8.

Many workflows begin with `search_companies`, which returns identifiers such as ticker, CIK, name, and exchange. A client can then pass the ticker to company-specific tools. Filing research commonly starts with `search_sec_filings`; the returned filing ID can be used with `get_filing_document` or `get_filing_exhibits`.

Responses come from live Signal8 data and may have different credit costs by tool. The reference material lists examples ranging from one credit for basic company lookup to higher costs for screening, compliance, cross-company intelligence, and aggregated bundles. Exact account limits and pricing are not specified in the supplied material.

## Setup and configuration

Install the package globally with npm or run it without a permanent installation. The direct no-install command is:

```bash
npx -y @signal8ai/mcp
```

Create an API key through Signal8’s MCP signup and API-key settings pages, then expose it as `SIGNAL8_API_KEY`. For Claude Desktop, add an MCP server entry with `command` set to `npx`, arguments `-y` and `@signal8ai/mcp`, and the key in the entry’s `env` object. Cursor uses the same command and environment-variable pattern in `.cursor/mcp.json`.

The README identifies Claude Desktop and Cursor configuration examples. Other MCP clients can run the same process with the environment variable set before invocation. Keep the key outside source control and replace example key text with the real credential before use.

## Tools and capabilities

Representative capabilities include:

- Find companies and retrieve profiles, quotes, financials, earnings, news, analyst data, and executive information.
- Analyze short interest, float composition, historical prices, market metrics, movers, breadth, and trading halts.
- Search SEC filings, inspect filing metadata, read filing content, and list exhibits.
- Research Form 4 insider activity, 13F institutional ownership, counterparties, counsel, and cross-company patterns.
- Monitor listing deficiencies, compliance alerts, exchange classifications, dilution risk, warrants, convertibles, ATMs, and shelf registrations.
- Screen companies and filings using market, sector, industry, exchange, form, date, and other supported filters.
- Query earnings, economic, filing-deadline, clinical-trial, and material-event calendars.

Tool availability should be checked against the runtime because the README says some documented tools and categories are currently disabled.

## Limitations and notes

The API key is required, so this server is not credential-free. Results are subject to Signal8’s account credit model. Large filing documents can be substantial; the filing-document tool supports `maxLength` to truncate previews.

Float history is forward-only from mid-2026 and is not backfilled. An empty result can therefore be normal rather than evidence that a company was delisted. Each row identifies its source, including providers such as Polygon, computed data, SEC 10-K data, or FMP, and those sources may differ in quality.

Quote responses include trading-halt fields. A halted ticker may return its last known quote, or a null current price when no recoverable quote exists. Market-wide endpoints also have normal empty states: no active trading halts and no results for a non-trading historical date are not necessarily errors. The supplied material also notes that the latest market-news endpoint may return 404 until its backend deployment is available.

The signal8ai/signal8-mcp MCP server provides data and analysis inputs; the supplied material does not establish that it offers investment advice, guaranteed real-time coverage, or complete historical backfills.

_Full upstream README: https://allmcps.com/mcp/signal8ai-signal8-mcp/readme_