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  3. Financial Hub MCP
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Financial Hub MCP

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
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SEC EDGAR filings, XBRL financials, and FRED economic indicators for MCP clients

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "financial-hub-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "financial-hub-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’° More in Finance & Fintech

Documentation Overview

Financial Hub MCP Server

A TypeScript MCP server for financial data aggregation. Connects any MCP-compatible AI assistant to SEC EDGAR filings, XBRL financial statements, FRED economic indicators, and real-time market data β€” with built-in XBRL normalization, fact deduplication, computed analytics, stock screening, and rate-limit protection.

Core Concepts

SEC EDGAR

All SEC EDGAR data comes directly from the SEC's free public APIs at data.sec.gov. No API key is required. The server automatically handles:

  • XBRL concept resolution β€” Different companies use different XBRL tags for the same metric. The server normalizes across 20+ financial concepts (e.g., revenue resolves to Revenues, RevenueFromContractWithCustomerExcludingAssessedTax, SalesRevenueNet, and 11 other variants).
  • Fact deduplication β€” Raw XBRL data contains duplicate values from overlapping 10-K/10-Q filings and amendments. The server collapses these to one clean value per fiscal period.
  • Rate limiting β€” SEC enforces 10 requests/second. A token-bucket rate limiter with bounded queuing (max 50 pending, 30s timeout) prevents IP bans.

FRED

FRED (Federal Reserve Economic Data) provides 800,000+ time series from 100+ sources. Requires a free API key from fred.stlouisfed.org. Rate limited to 120 requests/minute (enforced via 2 req/s token bucket). Includes a curated catalog of ~50 essential economic indicators across 9 categories for zero-API-call browsing.

Finnhub Market Data

Real-time stock quotes, company profiles, market news, insider transactions, and financial metrics via the Finnhub API. Free tier provides 30 API calls/second with no credit card required. The server rate-limits to 25 req/s to stay safely under the threshold. Quotes are never cached (stale prices are worse than no cache), while profiles (24h), news (5min), and financial metrics (1h) use appropriate TTLs.

Caching

In-memory LRU cache with TTL expiry reduces redundant API calls:

CacheTTLMax EntriesPayload Size
Company facts1 hour1020-50 MB each
Company submissions1 hour30~50 KB each
Company tickers24 hours1~3 MB
FRED series metadata6 hours100~1 KB each
FRED observations1 hour50~5 KB each
Market profiles24 hours50~1 KB each
Market news5 minutes10~5 KB each
Insider transactions1 hour30~3 KB each
Basic financials1 hour30~2 KB each

Eviction is LRU β€” frequently accessed entries are promoted on read, so the least recently used entry is evicted when capacity is full. Expired entries are proactively swept on every write.

API

Tools

  • search_companies

    • Search SEC-registered companies by name or ticker
    • Input: query (string)
    • Returns matching company names, tickers, and CIK numbers
  • get_company_filings

    • Get recent SEC filings for a company
    • Inputs:
      • cik (string): SEC's unique company identifier
      • formType (string, optional): Filter by form type (10-K, 10-Q, 8-K, DEF 14A)
    • Returns filing metadata: form type, dates, document links
  • get_financial_metric

    • Get deduplicated historical values of a financial metric with trend analysis
    • Inputs:
      • cik (string): Company CIK number
      • concept (string): Friendly name or raw XBRL tag
      • taxonomy (string, optional): XBRL taxonomy (default: us-gaap)
      • annualOnly (boolean, optional): Return only annual data points
    • Accepts friendly names: revenue, net_income, gross_profit, operating_income, eps, total_assets, total_liabilities, stockholders_equity, cash, long_term_debt, current_assets, current_liabilities, operating_cash_flow, capex, shares_outstanding
    • Also accepts raw XBRL tags: Revenues, NetIncomeLoss, Assets, etc.
    • Returns deduplicated values (one per fiscal period), YoY growth rates, and trend direction
  • get_financial_summary

    • Get a comprehensive financial snapshot with computed ratios
    • Input: cik (string)
    • Returns latest metrics: revenue, net income, assets, liabilities, equity, cash, debt, EPS, operating cash flow, free cash flow
    • Computed ratios: profit margin, debt-to-equity, current ratio, ROE, ROA
    • All values deduplicated from the most recent annual filing
  • get_company_facts_summary

    • Get a compact index of all available XBRL data for a company
    • Inputs:
      • cik (string): Company CIK number
      • limit (number, optional): Max concepts to return (default 40, max 100)
    • Returns concept names, latest values, and data point counts β€” not the full time series
    • Use this to discover what data is available before drilling into specific metrics
  • analyze_financials

    • Deep financial analysis with computed ratios, growth metrics, and health scoring
    • Input: cik (string)
    • Returns:
      • Financial ratios: profit margin, gross margin, operating margin, ROE, ROA, debt-to-equity, current ratio
      • Growth analysis: YoY rates, 3-year and 5-year CAGR, trend detection
      • Composite health grade (A-F) with explanatory factors
    • Uses Promise.allSettled internally β€” individual metric failures don't crash the analysis
  • compare_companies

    • Side-by-side financial comparison of 2-5 companies
    • Input: ciks (string[], 2-5 CIK numbers)
    • Compares revenue, income, assets, cash, EPS, free cash flow, ratios, and health scores
    • Identifies winners by revenue, profitability, growth, and overall health
    • Individual company failures are isolated β€” partial comparisons still return
  • search_filings

    • Full-text search across all SEC EDGAR filings with pagination
    • Inputs:
      • query (string): Search terms
      • forms (string, optional): Comma-separated form types
      • startDate (string, optional): YYYY-MM-DD
      • endDate (string, optional): YYYY-MM-DD
      • limit (number, optional): Results per page (default 20, max 50)
      • offset (number, optional): Skip N results for pagination
    • Returns results array + total hit count for pagination
    • Searches the full text of any filing since 2001
  • screen_stocks

    • Screen SEC-registered companies by exchange, industry, name, and financial health
    • Inputs:
      • exchange (string, optional): Filter by exchange (e.g. NYSE, Nasdaq)
      • industry (string, optional): SIC industry group (technology, finance, healthcare, energy, manufacturing, retail, transportation, utilities, services, public_admin)
      • nameContains (string, optional): Case-insensitive substring match on company name
      • minHealthScore (number, optional): Minimum health grade (0-100) from financial analysis
      • limit (number, optional): Max results (default 20, max 50)
    • Two-phase screening: instant client-side filtering on 10,000+ companies, then optional deep filtering via SEC API for industry and health metrics
  • get_corporate_events

    • Get recent 8-K corporate events with significance classification
    • Inputs:
      • cik (string): Company CIK number
      • significance (string, optional): Filter by high, medium, or low significance
      • limit (number, optional): Max events (default 15, max 50)
    • Classifies 25 SEC 8-K item numbers into human-readable categories with significance levels
    • High significance: CEO changes, M&A, bankruptcy, material agreements, auditor changes
    • Medium: earnings releases, departures, asset sales, amendments
    • Uses existing submissions data β€” zero additional API calls
  • search_economic_data

    • Search the FRED database for economic data series
    • Input: query (string)
    • Returns series IDs, titles, frequencies, and units
    • Use returned series IDs with get_economic_data
  • get_economic_data

    • Get time series observations for a FRED economic data series
    • Inputs:
      • seriesId (string): FRED series ID
      • startDate (string, optional): YYYY-MM-DD
      • endDate (string, optional): YYYY-MM-DD
    • Common series: GDP, CPIAUCSL (CPI), UNRATE (unemployment), FEDFUNDS, DGS10 (10-year treasury), SP500, MORTGAGE30US
  • get_stock_quote

    • Get a real-time stock price quote from Finnhub
    • Input: symbol (string): Stock ticker (e.g. AAPL, MSFT, GOOGL)
    • Returns current price, daily change, percent change, day high/low, open, and previous close
    • Live data β€” never cached
  • get_market_news

    • Get latest financial news headlines
    • Inputs:
      • symbol (string, optional): Stock ticker for company-specific news. Omit for general market news
      • category (string, optional): general, forex, crypto, merger (only for general news)
    • Returns up to 20 articles with headline, summary, source, URL, and datetime
  • get_insider_transactions

    • Get recent insider trading activity for a company
    • Input: symbol (string): Stock ticker (e.g. AAPL, TSLA)
    • Returns insider names, share counts, transaction dates, prices, and buy/sell codes
    • Transaction codes: P = Purchase, S = Sale, M = Option Exercise, A = Grant/Award, G = Gift, F = Tax withholding
  • get_company_overview

    • Get a comprehensive company overview combining profile, market metrics, and peers
    • Input: symbol (string): Stock ticker (e.g. AAPL, MSFT)
    • Returns name, exchange, industry, market cap, PE ratio, beta, 52-week range, EPS, dividend yield, and peer tickers
    • Merges data from 4 parallel Finnhub API calls (profile, financials, peers, quote)

Resources

  • sec://company/{ticker}
    • Company profile with SEC metadata and recent filings
    • Includes: name, CIK, tickers, exchanges, SIC code, fiscal year end, and the 10 most recent filings
    • Browsable from any MCP client that supports resources

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Financial Hub MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "financial-hub-mcp": { "command": "npx", "args": ["-y", "financial-hub-mcp"] } }

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Technical Specs & Signals

CategoryπŸ’°Finance & Fintech
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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