Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://github.com/token-metrics/mcp below:

token-metrics/mcp: 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.

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.

• 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

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"
      }
    }
  }
}

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

• 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

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

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

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"
      }
    }
  }
}

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

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

The Token Metrics MCP server provides the following tools:

• get_tokens_data - Fetch comprehensive token information
• get_tokens_price - Get current token prices
• get_tokens_hourly_ohlcv - Hourly OHLCV data
• get_tokens_daily_ohlcv - Daily OHLCV data

• get_tokens_trading_signal - AI-generated trading signals
• get_tokens_trader_grade - Short-term trader grades
• get_tokens_investor_grade - Long-term investor grades
• get_tokens_resistance_and_support - Technical support/resistance levels
• get_tokens_correlation - Token correlation analysis

• get_market_metrics - Overall market analytics
• get_sentiment - Market sentiment analysis
• get_tokens_quant_metrics - Quantitative metrics
• get_tokens_scenario_analysis - Price prediction scenarios

• get_tokens_ai_report - AI-generated token reports
• get_crypto_investors - Crypto investor information
• get_top_tokens_by_market_cap - Top tokens by market cap

• get_indices - Fetch active and passive crypto indices
• get_indices_performance - Historical performance data for indices
• get_indices_holdings - Current holdings and weights for indices

1. Visit Token Metrics
2. Sign up for an account
3. Navigate to your API Dashboard
4. Generate a new API key
5. Use the API key with this MCP server

• Node.js 18 or higher
• npm or yarn
• TypeScript

1. Clone the repository:

git clone https://github.com/token-metrics/mcp.git
cd mcp

1. Install dependencies:

1. Set your API key:

export TOKEN_METRICS_API_KEY=your_api_key_here

1. Run in development mode:

You can test the local server using the MCP Inspector:

# Build the server first
npm run build

# Run with MCP Inspector
npx @modelcontextprotocol/inspector node build/src/cli.js

When using the hosted HTTP transport at https://mcp.tokenmetrics.com, the server accepts:

Headers:

• x-api-key - Your Token Metrics API key (required)
• Content-Type: application/json (for requests)

Supported Endpoints:

• POST / - Main MCP JSON-RPC endpoint

The local server accepts the following configuration options:

• --help - Show help information

Environment variables:

• TOKEN_METRICS_API_KEY - Your Token Metrics API key

The server includes comprehensive error handling:

• Invalid API Key: Returns authentication error
• Rate Limiting: Handles API rate limits gracefully
• Network Issues: Retries failed requests
• Invalid Parameters: Validates input parameters

• API keys are handled securely
• No sensitive data is logged
• Docker container runs as non-root user
• Input validation on all parameters

• Documentation: Token Metrics API Docs
• Issues: GitHub Issues
• Support: Token Metrics Support

MIT License - see LICENSE file for details.

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4