Crypto Trending MCP Server

The Crypto Trending MCP Server bridges the gap between real‑time cryptocurrency market data and AI assistants by exposing CoinGecko’s trending tokens through a lightweight, extensible protocol. Rather than requiring developers to scrape or parse web pages manually, this server delivers a ready‑made Markdown snapshot of the current trending list. The document contains a richly formatted table that lists each coin’s rank, name, symbol, price, short‑term percentage changes, volume, and market cap. This comprehensive snapshot enables AI agents to perform instant analysis—identifying the hottest assets, filtering by positive momentum, or ranking by liquidity—all without leaving their conversational workflow.

For developers building AI‑powered financial tools, the server offers a single tool () that returns the entire Markdown page in one call. Coupled with a dedicated prompt (), an LLM can extract and transform the table into structured data, allowing downstream logic to run custom calculations or visualizations. The integration is intentionally streamlined for Claude Desktop: once the server is registered in the client’s configuration, a hammer icon appears in the input box, signalling that new tools are available. Users can then ask natural language questions such as “Show the top three trending coins by market cap” or “Which trending tokens have a positive 24‑hour change?” and the assistant will automatically invoke the tool, parse the result, and respond with concise, data‑driven insights.

Key capabilities include:

• Real‑time market awareness: Pull the latest trending list directly from CoinGecko, ensuring that AI assistants always work with up‑to‑date information.
• Structured data extraction: The prompt guides the model to convert Markdown tables into JSON‑like structures, making it trivial to feed other services or dashboards.
• Zero external dependencies: Built with minimal Python packages and Playwright for headless browsing, the server is easy to deploy in containerized or serverless environments.
• Extensibility: Developers can add new tools or modify the scraping logic without altering client code, keeping the AI ecosystem flexible.

Typical use cases span portfolio management bots that need to surface emerging opportunities, compliance tools that monitor volatile assets for risk alerts, or market research assistants that generate trend reports on demand. By encapsulating the data retrieval and parsing logic behind a clean MCP interface, this server frees developers from repetitive scraping boilerplate, allowing them to focus on higher‑level business logic and user experience.