Token Metrics MCP Server

Name: Token Metrics MCP Server
Author: token-metrics

@token-metrics

About 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

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-token-metrics": {
      "command": "npx",
      "args": [
        "-y",
        "@token-metrics-ai/mcp@latest"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

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?

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.

Comments

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