Frequently Asked Questions (FAQ) about Token Metrics MCP Server

Q: What is the Token Metrics MCP Server?

A: The Token Metrics MCP Server provides cryptocurrency data, analytics, and insights through function calling, enabling AI assistants and agents to access Token Metrics’ API for real-time crypto market data, trading signals, price predictions, and advanced analytics.

Q: What features does the Token Metrics MCP Server offer?

A: The server offers real-time crypto data, AI-generated trading signals, price predictions, technical analysis, market analytics, and quantitative metrics.

Q: How can I get started with the Token Metrics MCP Server?

A: The easiest way to get started is using npx. You’ll need to set your Token Metrics API key as an environment variable and then run the provided npx command.

Q: Where can I find the Token Metrics MCP Server listed?

A: You can find the server listed on Smithery, Glama AI, and MCP.so.

Q: How do I set up the MCP Server with AI Clients like Claude Desktop or VS Code/Cursor?

A: You need to add a configuration block to your claude_desktop_config.json or mcp.json file, specifying the command to run the server and your Token Metrics API key.

Q: What tools are available through the Token Metrics MCP Server?

A: Available tools include those for fetching token data and prices, accessing trading and analysis metrics, gathering market intelligence, generating research and reports, and managing indices and portfolios.

Q: How do I get a Token Metrics API Key?

A: Visit Token Metrics, sign up for an account, navigate to your API Dashboard, and generate a new API key.

Q: What are the prerequisites for local development?

A: You need Node.js 18 or higher, npm or yarn, and TypeScript.

Q: How do I test the server using the MCP Inspector?

A: Build the server first using npm run build, then run it with the MCP Inspector using the provided npx command.

Q: What configuration options does the server accept?

A: The server accepts the --help option to show help information. It also requires the TOKEN_METRICS_API_KEY environment variable.

Q: What error handling is included in the server?

A: The server includes error handling for invalid API keys, rate limiting, network issues, and invalid parameters.

Q: How secure is the Token Metrics MCP Server?

A: API keys are handled securely, no sensitive data is logged, the Docker container runs as a non-root user, and input validation is performed on all parameters.

Q: Where can I find support for the Token Metrics MCP Server?

A: You can find documentation on the Token Metrics API Docs, report issues on GitHub, or contact Token Metrics Support.

Q: How does the Token Metrics MCP Server integrate with UBOS?

A: The Token Metrics MCP Server provides AI agents within UBOS with real-time crypto data, enabling automated trading strategies, in-depth market research, and efficient portfolio management.