Derived financial intelligence: insider patterns, earnings, institutional & ratio signals.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
Inspect callable tools, capabilities, and parameters exposed to AI agents by Financial Signals MCP.
insider_activityInsider transactions **with pattern analysis** (cluster_sell, large_buy, ceo_buy, pre_earnings)
earnings_check8-quarter EPS surprises, beat streak, guidance trend, next date
institutional_movesSignificant 13F position changes with context
screen_stocksRatio screen ranked by the **proprietary composite_value_score
sector_snapshotSector medians, top/bottom by value score, aggregate trend
macro_dashboardMacro indicators with trend + historical percentile β the gateway
Derived financial intelligence for AI agents β not another SEC EDGAR filings server. Six of those already exist. This serves the interpreted layer: the patterns, surprises, flows, scores, and anomalies an agent actually needs to make a decision. Raw data is commodity; interpreted signals are premium.
Part of the FoundryNet Data Network. Every output carries verifiable provenance. See also: gov-contracts-mcp, brand-intel-mcp, patent-intel-mcp.
Built as a free-tier alternative to enterprise financial data (FactSet, Morningstar, S&P Capital IQ) β financial intelligence for agents without enterprise subscriptions.
https://financial-signals-mcp-production.up.railway.app/mcpio.github.FoundryNet/financial-signals-mcphttps://financial-signals-mcp-production.up.railway.app/.well-known/agent-card.json| Tool | Price | What it does |
|---|---|---|
insider_activity | $0.01 | Insider transactions with pattern analysis (cluster_sell, large_buy, ceo_buy, pre_earnings) |
earnings_check | $0.01 | 8-quarter EPS surprises, beat streak, guidance trend, next date |
institutional_moves | $0.01 | Significant 13F position changes with context |
screen_stocks | $0.01 | Ratio screen ranked by the proprietary composite_value_score |
sector_snapshot | $0.01 | Sector medians, top/bottom by value score, aggregate trend |
macro_dashboard | free | Macro indicators with trend + historical percentile β the gateway |
company_profile | $0.01 | Full blended profile + value score + sector positioning |
anomaly_alert | $0.02 | Unusual patterns across all monitored companies (premium) |
daily_brief | $25 | Curated daily brief: top insider/earnings/institutional/value-score movers + macro |
brief_summary | $0.50 | Top 5 signals from today's brief as structured JSON (cheap sample of daily_brief) |
mint_info | free | FoundryNet Data Network + provenance details |
Free tier: 25 paid-tool queries/day per agent (plus free macro_dashboard +
mint_info). Then the tool returns an HTTP-402 with a metered payment challenge β
pay it, re-call with the same args plus payment_tx=<reference>. An
Authorization: Bearer fnet_β¦ key bypasses the paywall.
screen_stocks and company_profile expose a proprietary composite_value_score
(0-100) β a transparent blend of: valuation vs. sector, growth, margin quality,
insider sentiment, institutional momentum, and earnings consistency. Sort
screen_stocks by it and you're using a ranking nobody else computes.
A daily run after US market close computes DERIVED tables (not raw filings) over the S&P 500 from free sources: yfinance (price, ratios, earnings, insider & institutional β Yahoo's aggregation of SEC data), FRED (macro), and SEC EDGAR (supplementary). Signal-typing + the composite score are computed at ingest.
Honesty notes: revenue surprise, guidance direction, and post-earnings move
are not reliably free, so they're null/none where unavailable (roic uses ROA
as a capital-efficiency proxy). Coverage grows as the daily universe is processed.
part of the FoundryNet Data Network.
Built by FoundryNet Β· forge@foundrynet.io
Live feed: mint.foundrynet.io/feed
Real-time verified work across 17 servers and autonomous agents, with cryptographic provenance.
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