Token Metrics MCP Server

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, price predictions, and advanced analytics.

Features

• Real-time Crypto Data: Access current prices, market cap, volume, and other key metrics
• Trading Signals: AI-generated trading signals for long and short positions
• Price Predictions: Advanced price forecasting and scenario analysis
• Technical Analysis: Support and resistance levels, correlation analysis
• Market Analytics: Comprehensive market insights and sentiment analysis
• Quantitative Metrics: Advanced quantitative analysis and grading systems

Quick Start

Option 1: HTTP Transport

The easiest way to get started is using our hosted HTTP transport - no installation required:

{
  "mcpServers": {
    "token-metrics": {
      "url": "https://mcp.tokenmetrics.com",
      "headers": {
        "x-api-key": "YOUR_API_KEY"
      }
    }
  }
}

Option 2: Using npx (Local Installation)

# Set environment variable and run
export TOKEN_METRICS_API_KEY=your_api_key_here
npx -y @token-metrics-ai/mcp@latest

Connection Methods

HTTP Transport (Hosted)

• URL: https://mcp.tokenmetrics.com
• Authentication: Use x-api-key header with your Token Metrics API key
• Benefits:
  • No local installation required
  • Always up-to-date
  • Better performance and reliability
  • Automatic scaling
• Usage: Perfect for production environments and users who prefer not to install packages locally

Local Installation (npx/npm)

• Benefits:
  • Full control over the server instance
  • Works offline (after installation)
  • Can modify and extend functionality
• Usage: Ideal for development, testing, or custom implementations

MCP Listings

You can find the Token Metrics MCP server on these popular MCP listing sites:

• Smithery: https://smithery.ai/server/@token-metrics/mcp
• Glama AI: https://glama.ai/mcp/servers/@token-metrics/mcp
• MCP.so: https://mcp.so/server/mcp/token-metrics
• Awesome MCP Servers: https://mcpservers.org/servers/token-metrics/mcp

Setup with AI Clients

Claude Desktop or VS Code/Cursor

HTTP Transport Configuration

Add the following to your claude_desktop_config.json or mcp.json:

{
  "mcpServers": {
    "token-metrics": {
      "url": "https://mcp.tokenmetrics.com",
      "headers": {
        "x-api-key": "YOUR_API_KEY"
      }
    }
  }
}