Question 1

What is the Token Metrics MCP Server?

Accepted Answer

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.

Question 2

What features does the Token Metrics MCP Server offer?

Accepted Answer

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

Question 3

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

Accepted Answer

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.

Question 4

Where can I find the Token Metrics MCP Server listed?

Accepted Answer

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

Question 5

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

Accepted Answer

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.

Question 6

What tools are available through the Token Metrics MCP Server?

Accepted Answer

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.

Question 7

How do I get a Token Metrics API Key?

Accepted Answer

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

Question 8

What are the prerequisites for local development?

Accepted Answer

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

Question 9

How do I test the server using the MCP Inspector?

Accepted Answer

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

Question 10

What configuration options does the server accept?

Accepted Answer

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

Question 11

What error handling is included in the server?

Accepted Answer

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

Question 12

How secure is the Token Metrics MCP Server?

Accepted Answer

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.

Question 13

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

Accepted Answer

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

Question 14

How does the Token Metrics MCP Server integrate with UBOS?

Accepted Answer

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.

Token Metrics MCP

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