tokens-mcp
Tokens MCP is an MCP server implementation for integrating with the Token Metrics API. It enables access to cryptocurrency market data and supports algorithmic trading and strategy development. Ideal for creating automated trading systems and conducting market research.
Tokens MCP
MCP server for Token Metrics API.
About
MCP (Model Control Protocol) provides a standardized interface for AI systems to access external tools and data sources. This repository implements an MCP server for TokenMetrics API, enabling you to:
- Access comprehensive cryptocurrency market data
- Implement and backtest trading strategies (like moving average crossovers)
- Generate visual performance metrics for your strategies
- Analyze token performance across different timeframes
- Build automated trading systems with consistent API access
Whether for algorithmic trading bots or market research, this server simplifies working with crypto data and strategy development.
Getting Started
Installation
- Clone the repository:
- Install dependencies:
Configuration
Copy .env.example to .env and configure your API keys.
You must also update the mcp_server_config.json file with your TokenMetrics API key.
Running the Server
You can inspect the server by running certain commands.
IDE Integration
This project works best with IDEs that support the Model Context Protocol (MCP).
Cursor
Cursor provides native support for MCP, allowing AI assistants to directly interact with the TokenMetrics API through this server.
Project Structure
The project is organized using a standard Python package structure.