what is Token Metrics MCP Server?
The Token Metrics Model Context Protocol (MCP) server provides comprehensive cryptocurrency data, analytics, and insights through function calling, enabling 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?
To use the MCP server, you can run it using npx with your API key as an argument or set it as an environment variable. You can also integrate it with AI clients like Claude Desktop or VS Code/Cursor by adding the appropriate configuration.
key features of Token Metrics MCP Server?
- 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.
use cases of Token Metrics MCP Server?
- Fetching real-time cryptocurrency prices and market data.
- Generating AI-driven trading signals for investment strategies.
- Conducting technical analysis for market trends.
- Performing quantitative analysis for investment grading.
FAQ from Token Metrics MCP Server?
- How do I get my API key?
Visit Token Metrics, sign up for an account, and generate a new API key from your API Dashboard.
- What programming languages are supported?
The server is built with TypeScript and requires Node.js 18 or higher.
- Is there any error handling in the server?
Yes, the server includes comprehensive error handling for invalid API keys, rate limiting, network issues, and invalid parameters.