Model Context Protocol server for Finnhub financial market data API
Project description
mcp-finnhub
Model Context Protocol (MCP) server providing comprehensive access to Finnhub financial market data API. Built for AI assistants like Claude Desktop to seamlessly access real-time market data, technical indicators, fundamentals, and alternative data.
Features
- 15 MCP Tools covering 100+ Finnhub API endpoints
- Real-time market data: Quotes, candles, tick data, BBO
- Technical analysis: 50+ indicators, patterns, support/resistance
- Fundamentals: Financials, earnings, dividends, metrics
- Alternative data: ESG scores, social sentiment, supply chain
- Multi-asset support: Stocks, crypto, forex, ETFs, bonds
- Project-based storage with automatic CSV/JSON exports
- Background job processing for large datasets
- Smart output handling with token estimation
- Configurable tools - enable only what you need
- AI-friendly errors - Structured error responses with guidance
- Built-in help - Every tool supports
operation="help"for discovery
Quick Start
Prerequisites
- Python 3.11 or higher
- Finnhub API key (free tier available)
- Claude Desktop or compatible MCP client
Installation
Option 1: Install from PyPI (coming soon)
pip install mcp-finnhub
Option 2: Install from source
git clone https://github.com/cfdude/mcp-finnhub.git
cd mcp-finnhub
pip install -e .
Configuration
- Create a
.envfile in your project root:
# Required
FINNHUB_API_KEY=your_api_key_here
FINNHUB_STORAGE_DIR=/path/to/storage
# Optional - Tool configuration
FINNHUB_ENABLE_TECHNICAL_ANALYSIS=true
FINNHUB_ENABLE_STOCK_MARKET_DATA=true
FINNHUB_ENABLE_NEWS_SENTIMENT=true
# ... enable/disable other tools as needed
# Optional - Performance tuning
FINNHUB_RATE_LIMIT_RPM=300 # Requests per minute (30 free, 300 premium)
FINNHUB_REQUEST_TIMEOUT=30 # Request timeout in seconds
FINNHUB_SAFE_TOKEN_LIMIT=75000 # Conservative token limit
- Configure Claude Desktop to use mcp-finnhub by adding to
claude_desktop_config.json:
{
"mcpServers": {
"finnhub": {
"command": "mcp-finnhub",
"env": {
"FINNHUB_API_KEY": "your_api_key_here",
"FINNHUB_STORAGE_DIR": "/Users/yourname/finnhub-data"
}
}
}
}
- Restart Claude Desktop
First Query
Ask Claude:
"Get me the latest quote for AAPL"
Claude will use the finnhub_stock_market_data tool with the get_quote operation to fetch Apple's real-time stock quote.
Available Tools
Core Trading & Analysis (3 tools)
finnhub_stock_market_data- Quotes, candles, tick data, BBO, market statusfinnhub_technical_analysis- 50+ indicators (RSI, MACD, SMA), patterns, signalsfinnhub_news_sentiment- Company news, market news, sentiment scores
Fundamentals & Analysis (5 tools)
finnhub_stock_fundamentals- Financials, earnings, dividends, metricsfinnhub_stock_estimates- Revenue/EPS estimates, price targetsfinnhub_stock_ownership- Insider trades, institutional holdingsfinnhub_alternative_data- ESG scores, social sentiment, supply chainfinnhub_sec_filings- SEC filings, earnings transcripts
Multi-Asset Data (4 tools)
finnhub_crypto_data- Crypto exchanges, symbols, profiles, candlesfinnhub_forex_data- Forex rates, candles, exchangesfinnhub_calendar_data- IPO calendar, earnings calendar, economic eventsfinnhub_market_events- Market holidays, analyst upgrades/downgrades
Management Tools (3 tools)
finnhub_project_create- Create project workspacesfinnhub_project_list- List all projects with statisticsfinnhub_job_status- Check background job status
Example Workflows
Technical Analysis Workflow
User: "Analyze TSLA using RSI and MACD indicators"
Claude uses:
1. finnhub_technical_analysis → get_indicator (operation=get_indicator, symbol=TSLA, indicator=rsi)
2. finnhub_technical_analysis → get_indicator (operation=get_indicator, symbol=TSLA, indicator=macd)
3. Analyzes both indicators and provides trading insights
Fundamental Research Workflow
User: "Research MSFT - get financials, earnings, and analyst estimates"
Claude uses:
1. finnhub_stock_fundamentals → get_basic_financials (operation=get_basic_financials, symbol=MSFT)
2. finnhub_stock_fundamentals → get_earnings (operation=get_earnings, symbol=MSFT)
3. finnhub_stock_estimates → get_earnings_estimates (operation=get_earnings_estimates, symbol=MSFT)
4. Summarizes financial health and analyst outlook
Multi-Asset Portfolio Workflow
User: "Create a project called 'my-portfolio', get quotes for AAPL, BTC-USD, and EUR/USD"
Claude uses:
1. finnhub_project_create → create (operation=create, project=my-portfolio)
2. finnhub_stock_market_data → get_quote (operation=get_quote, symbol=AAPL, project=my-portfolio)
3. finnhub_crypto_data → get_crypto_profile (operation=get_crypto_profile, symbol=BINANCE:BTCUSDT)
4. finnhub_forex_data → get_forex_rates (operation=get_forex_rates, base=EUR, project=my-portfolio)
5. All data saved to /storage/my-portfolio/ with CSV exports
Tool Configuration
Control which tools are available to reduce context window usage:
# Disable tools you don't need
FINNHUB_ENABLE_CRYPTO=false
FINNHUB_ENABLE_FOREX=false
FINNHUB_ENABLE_ALTERNATIVE_DATA=false
# Core tools (always recommended)
FINNHUB_ENABLE_STOCK_MARKET_DATA=true
FINNHUB_ENABLE_TECHNICAL_ANALYSIS=true
FINNHUB_ENABLE_NEWS_SENTIMENT=true
Rate Limits
- Free tier: 60 requests/minute
- Basic tier: 150 requests/minute ($49.99/month)
- Premium tier: 300 requests/minute
- Enterprise tier: Custom limits
mcp-finnhub automatically handles rate limiting with exponential backoff and retry logic.
AI Agent Features
Help/Discovery
Every tool supports operation="help" to discover available operations:
finnhub_stock_fundamentals(operation="help")
# Returns all operations with required/optional params and examples
Structured Errors
Errors return actionable JSON instead of stack traces:
{
"error": "invalid_operation",
"message": "Operation 'get_data' not found",
"valid_operations": ["get_basic_financials", "get_dividends", ...],
"tool": "finnhub_stock_fundamentals"
}
Storage Structure
Projects are stored in subdirectories:
FINNHUB_STORAGE_DIR/
├── my-portfolio/
│ ├── .project.json # Project metadata
│ ├── candles/ # Historical price data
│ ├── quotes/ # Real-time quotes
│ ├── news/ # News articles
│ ├── fundamentals/ # Financial data
│ ├── technical/ # Technical indicators
│ └── jobs/ # Background job results
└── research-tech/
└── ...
Development
Setup
# Clone repository
git clone https://github.com/cfdude/mcp-finnhub.git
cd mcp-finnhub
# Install with dev dependencies
pip install -e ".[dev]"
# Run tests
pytest --cov=mcp_finnhub --cov-report=term-missing
# Lint and format
ruff check --fix .
ruff format .
Running Locally
# Set environment variables
export FINNHUB_API_KEY=your_api_key
export FINNHUB_STORAGE_DIR=/tmp/finnhub-data
# Run the MCP server
mcp-finnhub
The server will listen on stdin/stdout for JSON-RPC requests following the MCP protocol.
Testing with MCP Inspector
# Install MCP inspector
npm install -g @modelcontextprotocol/inspector
# Test the server
mcp-inspector mcp-finnhub
Architecture
- ServerContext: Dependency injection container managing client and utilities
- Tool Registry: Dynamic tool registration with enable/disable support
- STDIO Transport: JSON-RPC over stdin/stdout implementing MCP 2024-11-05
- Async Job Processing: Background workers for large dataset operations
- Type Safety: Pydantic models for all API requests/responses
See ARCHITECTURE.md for detailed design documentation.
API Reference
See API.md for complete tool documentation with examples.
Troubleshooting
"Authentication failed" error
- Verify your
FINNHUB_API_KEYis correct - Check if your API key has expired
- Ensure you haven't exceeded rate limits
"Tool not found" error
- Check that the tool is enabled in your configuration
- Verify tool names match exactly (case-sensitive)
Storage permission errors
- Ensure
FINNHUB_STORAGE_DIRexists and is writable - Check filesystem permissions
Rate limit errors
- Reduce
FINNHUB_RATE_LIMIT_RPMin your configuration - Upgrade to premium tier for higher limits
Contributing
Contributions welcome! Please:
- Fork the repository
- Create a feature branch
- Add tests for new functionality
- Ensure all tests pass
- Submit a pull request
License
MIT License - see LICENSE for details
Acknowledgments
- Built with Model Context Protocol
- Powered by Finnhub API
- Inspired by mcp-fred patterns
Support
- Issues: GitHub Issues
- Documentation: docs/
- Finnhub API Docs: finnhub.io/docs/api
Made with ❤️ for the AI assistant ecosystem
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