io.github.ykshah1309/financial-hub-mcp

SEC EDGAR filings, XBRL financials, FRED economic data, and real-time market quotes
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SEC EDGAR filings, XBRL financials, FRED economic data, and real-time market quotes
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Kind: MCP servers
Topic: No topic detected
Publisher: ykshah1309
Origin: official
Category: ferramentas
Transport: local
Version: 1.3.1
Stars: 1
Forks: 1
Last push: 2026-04-17T03:03:45Z
Repository state: ativo
Language: TypeScript
License: MIT
Added: 2026-08-29 04:01:42
Updated: 2026-08-29 04:01:42
Origin id: io.github.ykshah1309/financial-hub-mcp
README

# 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 — 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** — 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** — 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** — 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](https://fred.stlouisfed.org/docs/api/api_key.html). 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](https://finnhub.io). 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:

| Cache | TTL | Max Entries | Payload Size |
|-------|-----|-------------|-------------|
| Company facts | 1 hour | 10 | 20-50 MB each |
| Company submissions | 1 hour | 30 | ~50 KB each |
| Company tickers | 24 hours | 1 | ~3 MB |
| FRED series metadata | 6 hours | 100 | ~1 KB each |
| FRED observations | 1 hour | 50 | ~5 KB each |
| Market profiles | 24 hours | 50 | ~1 KB each |
| Market news | 5 minutes | 10 | ~5 KB each |
| Insider transactions | 1 hour | 30 | ~3 KB each |
| Basic financials | 1 hour | 30 | ~2 KB each |

Eviction is LRU — 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 — 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 — 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 — 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 — 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 — 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

- **fred://catalog/{category}**
  - Browse curated FRED economic indicators by category
  - Categories: gdp, labor, inflation, rates, housing, markets, money, trade, consumer
  - Returns series IDs, titles, frequencies, and descriptions — zero API calls

- **fred://indicator/{seriesId}**
  - FRED indicator detail with latest observations
  - Returns series metadata from the catalog plus the 10 most recent data points
  - Use this to inspect a specific indicator before pulling full time series

### Prompts

- **financial_analysis**
  - Guided company financial health analysis
  - Input: `ticker` (string)
  - Walks through revenue trends, profitability, balance sheet health, and risk assessment

- **peer_comparison**
  - Side-by-side comparison of two companies
  - Input: `ticker1` (string), `ticker2` (string)

- **economic_overview**
  - Current US economic conditions dashboard
  - No input required
  - Pulls GDP, unemployment, CPI, fed funds rate, treasury yields, and mortgage rates

### Tool Annotations

All tools set [MCP ToolAnnotations](https://modelcontextprotocol.io/specification/2025-03-26/server/tools#toolannotations) for safe agent composition:

| Hint | Value | Reason |
|------|-------|--------|
| `readOnlyHint` | `true` | All tools are read-only — no data is modified |
| `destructiveHint` | `false` | No data destruction |
| `idempotentHint` | `true` | Same inputs produce same outputs |
| `openWorldHint` | `true` | All tools make external API calls |

### Error Handling

All tools return MCP-compliant error envelopes with `isError: true` on failure:

```json
{
  "content": [{ "type": "text", "text": "SEC EDGAR request failed: 404 Not Found" }],
  "isError": true
}
```

This allows the LLM to receive semantic error messages, correct parameters, and retry — rather than receiving opaque transport-level JSON-RPC errors that break the agent loop.

## Usage with Claude Desktop

Add this to your `claude_desktop_config.json`:

### NPX

```json
{
  "mcpServers": {
    "financial-hub": {
      "command": "npx",
      "args": ["-y", "financial-hub-mcp"],
      "env": {
        "FRED_API_KEY": "your-free-api-key",
        "SEC_USER_AGENT_EMAIL": "your-email@example.com",
        "FINNHUB_API_KEY": "your-free-api-key"
      }
    }
  }
}
```

## Usage with VS Code

For manual installation, add the configuration to your user-level MCP configuration file. Open the Command Palette (`Ctrl + Shift + P`) and run `MCP: Open User Configuration`, then add:

### NPX

```json
{
  "servers": {
    "financial-hub": {
      "command": "npx",
      "args": ["-y", "financial-hub-mcp"],
      "env": {
        "FRED_API_KEY": "your-free-api-key",
        "SEC_USER_AGENT_EMAIL": "your-email@example.com",
        "FINNHUB_API_KEY": "your-free-api-key"
      }
    }
  }
}
```

> For more details about MCP configuration in VS Code, see the [official VS Code MCP documentation](https://code.visualstudio.com/docs/copilot/customization/mcp-servers).

## Environment Variables

| Variable | Required | Description |
|----------|----------|-------------|
| `SEC_USER_AGENT_EMAIL` | **Yes** | Your email address for SEC EDGAR API compliance. The server will **exit immediately** if this is not set — SEC EDGAR bans requests with missing or generic User-Agent headers. |
| `FRED_API_KEY` | For FRED tools | Free 32-character key from [fred.stlouisfed.org](https://fred.stlouisfed.org/docs/api/api_key.html). The server starts without it but FRED tools will fail at runtime with a clear error message. |
| `FINNHUB_API_KEY` | For market tools | Free API key from [finnhub.io](https://finnhub.io/register). Required for stock quotes, market news, insider transactions, and company overviews. The server starts without it but market tools will fail at runtime. |

## Architecture

```
src/
├── index.ts              # Entry point — startup validation, MCP server init
├── rate-limiter.ts       # Token-bucket rate limiter with bounded queue + timeout
├── cache.ts              # In-memory TTL cache with proactive eviction
├── edgar/
│   ├── client.ts         # SEC EDGAR HTTP client (rate-limited, cached)
│   ├── tools.ts          # MCP tool registrations (12 tools, isError envelopes)
│   ├── resources.ts      # MCP resource templates (company profiles)
│   ├── xbrl.ts           # XBRL fact deduplication, growth, trend detection
│   ├── concepts.ts       # Concept alias normalization (20+ financial concepts)
│   ├── analytics.ts      # Computed ratios, health scoring, company comparison
│   ├── events.ts         # 8-K corporate event classification (25 item types)
│   └── screening.ts      # Stock screening by exchange, industry, health score
├── fred/
│   ├── client.ts         # FRED HTTP client (rate-limited, cached)
│   ├── tools.ts          # FRED MCP tool registrations
│   ├── catalog.ts        # Curated catalog of ~50 essential FRED indicators
│   └── resources.ts      # FRED MCP resource templates (catalog + indicators)
├── market/
│   ├── client.ts         # Finnhub HTTP client (rate-limited, cached)
│   └── tools.ts          # Market data MCP tool registrations (4 tools)
└── prompts.ts            # Financial analysis prompt templates
```

### Data Pipeline

Raw XBRL data from SEC EDGAR goes through several processing stages:

1. **Rate-limited fetch** — Token bucket ensures SEC's 10 req/s limit is never exceeded. Queue rejects after 50 pending requests or 30s wait.
2. **Caching** — Company facts cached for 1 hour, max 15 entries to avoid OOM on large payloads.
3. **Concept resolution** — Friendly names like `revenue` are mapped to all known XBRL tag variants across the us-gaap taxonomy.
4. **Deduplication** — Overlapping 10-K/10-Q/amendment values are collapsed to one per fiscal period. Prefers 10-K over 10-Q, latest filing date over earlier.
5. **Analysis** — Growth rates, CAGR, financial ratios, and health scores are computed from clean data.
6. **Serialization** — Minified JSON output to minimize context window usage.

## Building from Source

```bash
git clone https://github.com/ykshah1309/financial-hub-mcp.git
cd financial-hub-mcp
npm install
npm run build
```

Run locally:

```bash
FRED_API_KEY=your-key SEC_USER_AGENT_EMAIL=your-email FINNHUB_API_KEY=your-key node dist/index.js
```

## Contributing

Pull requests welcome. See [CONTRIBUTING.md](CONTRIBUTING.md) for the development loop, commit style, and PR checklist. By participating you agree to the [Code of Conduct](CODE_OF_CONDUCT.md).

## Security

Please report security issues privately — see [SECURITY.md](SECURITY.md). Do not file public issues for vulnerabilities or credential leaks.

## Changelog

See [CHANGELOG.md](CHANGELOG.md) for release notes.

## License

MIT — see [LICENSE](LICENSE).

## Badges

[![MCP Badge](https://lobehub.com/badge/mcp/ykshah1309-financial-hub-mcp)](https://lobehub.com/mcp/ykshah1309-financial-hub-mcp)
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