Token Metrics MCP Server
@token-metrics
The Token Metrics Model Context Protocol (MCP) server provides comprehensive cryptocurrency data, analytics, and insights through function calling. This server enables AI assistants and agents to access Token Metrics' powerful API for real-time crypto market data, trading signals
Overview
What is Token Metrics MCP Server?
Token Metrics MCP Server provides comprehensive cryptocurrency data, analytics, and insights through function calling. It enables AI assistants and agents to access Token Metrics' powerful API for real-time crypto market data, trading signals, price predictions, and advanced analytics.
How to use Token Metrics MCP Server?
Install via npx by setting the TOKEN_METRICS_API_KEY environment variable and running npx -y @token-metrics-ai/mcp@latest. Configure with AI clients such as Claude Desktop or VS Code by adding the server definition to claude_desktop_config.json or mcp.json.
Key features of Token Metrics MCP Server
- Real-time crypto data: prices, market cap, volume
- AI-generated trading signals for long and short positions
- Advanced price forecasting and scenario analysis
- Technical analysis: support/resistance, correlation
- Comprehensive market insights and sentiment analysis
- Quantitative metrics and grading systems
Use cases of Token Metrics MCP Server
- Fetch current token prices and OHLCV data for analysis
- Retrieve AI-generated trading signals and trader/investor grades
- Analyze support/resistance levels and token correlations
- Access market sentiment and overall market metrics
- Generate AI token reports and explore top tokens by market cap
FAQ from Token Metrics MCP Server
How do I get an API key?
Sign up at app.tokenmetrics.com, navigate to the API Dashboard, and generate a new API key.
What are the runtime requirements?
Node.js 18 or higher, npm or yarn, and TypeScript for development.
What tools does the server provide?
Over 15 tools covering token data & prices, trading & analysis, market intelligence, research & reports, and indices & portfolio.
How is error handling done?
The server handles invalid API keys, rate limiting, network issues, and invalid parameters with appropriate error responses.
How is the server secured?
API keys are handled securely, no sensitive data is logged, the Docker container runs as non-root, and input validation is performed on all parameters.
