Token Metrics MCP Server
@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
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
23Fetch token(s) data from Token Metrics API. Provide either token_id or symbol (or both) along with optional date range.
Fetch token(s) price from Token Metrics API. Provide token_id.
Fetch hourly OHLCV (Open, High, Low, Close, Volume) data for token(s) for a specific date or date range from Token Metrics API.
Fetch daily OHLCV (Open, High, Low, Close, Volume) data for token(s) for a specific date or date range from Token Metrics API.
Fetch token(s) long term grades, including Technology and Fundamental metrics for a specific date or date range from Token Metrics API.
Fetch Market Analytics from Token Metrics API. They provide insight into the full Crypto Market, including the Bullish/Bearish Market indicator for a specific date or date range.
Fetch token(s) AI generated trading signals for long and short positions for a specific date or date range from Token Metrics API.
Fetch token(s) AI-generated reports providing comprehensive analyses of cryptocurrency tokens, including deep dives, investment analyses, and code reviews from Token Metrics API.
Fetch the latest list of crypto investors and their scores from Token Metrics API.
Fetch the the list of coins with top market cap from Token Metrics API.
Fetch token(s) historical levels of resistance and support from Token Metrics API. Provide token_id or symbol.
Fetch the hourly sentiment score for Twitter, Reddit, and all the News, including quick summary of what happened from Token Metrics API.
Fetch the latest quantitative metrics for token(s). Note that Token Metrics pricing data starts on 2019-01-01 for most tokens. More historical data will be available soon.
Fetch tokens(s) price prediction based on different Crypto Market scenarios from Token Metrics API.
Fetch token(s) Top 10 and Bottom 10 correlated tokens from the top 100 market cap tokens from Token Metrics API.
Fetch active and passive crypto indices with performance and market data from Token Metrics API.
Fetch the current holdings of the given Index, along with their respective weight in percentage from Token Metrics API.
Fetch historical performance data for a given index, including cumulative return on investment (ROI) over time from Token Metrics API. This data is useful for analyzing index trends and evaluating investment performance.
Fetch token(s) hourly AI generated trading signals for long and short positions from Token Metrics API.
Fetch the AI-curated token picks (Moonshots) with high breakout potential based on grades, sentiment, volume, and on-chain data to help users trade smarter and faster from Token Metrics API.
Fetch token's latest TM Grade and Fundamental Grade insights, including signals, momentum, and 24‑hour percentage changes from Token Metrics API.
Fetch token's historical TM Grade and Fundamental Grade data over a specified date range, including signals and momentum trends from Token Metrics API.
Fetch token's latest Technology Grade, reflecting its tech strength and innovation ranking compared to other tokens from Token Metrics API.
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.
Frequently asked questions
How do I get an API key?
Sign up at [app.tokenmetrics.com](https://app.tokenmetrics.com/en), 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.
Basic information
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