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Crypto Trending Mcp

@kukapayon a year ago
1 MIT
FreeCommunity
AI Systems
An MCP server that tracks and monitors the latest trending tokens on CoinGecko.

Overview

What is Crypto Trending Mcp

crypto-trending-mcp is an MCP server designed to track and monitor the latest trending tokens on CoinGecko, providing real-time insights into popular cryptocurrencies.

Use cases

Use cases include generating reports on trending cryptocurrencies, conducting market analysis to identify investment opportunities, and integrating with other tools for enhanced crypto data insights.

How to use

To use crypto-trending-mcp, clone the repository, install the necessary dependencies, and configure it with Claude Desktop for seamless integration. You can then utilize its tools and prompts to analyze trending crypto data.

Key features

Key features include the get_trending_md_doc tool for generating a Markdown document of trending cryptocurrencies, the parse_trending_md_doc prompt for extracting and analyzing data, seamless integration with Claude Desktop, and a lightweight, extensible architecture.

Where to use

crypto-trending-mcp can be used in cryptocurrency analysis, trading strategies, and market research, particularly for those interested in tracking the latest trends in the crypto market.

Content

Crypto Trending MCP Server

An MCP server that tracks and monitors the latest trending tokens on CoinGecko, providing real-time insights into the most popular cryptocurrencies.

Discord
GitHub License
Python Version
Status

Features

  • Tool: get_trending_md_doc
    Returns a Markdown document of the full CoinGecko trending page, including a table of trending cryptocurrencies with columns: Rank, Name, Symbol, Price, 1h Change, 24h Change, 7d Change, 24h Volume, Market Cap.

  • Prompt: parse_trending_md_doc
    Guides MCP clients to extract the trending coins table from the Markdown document and parse it with an LLM, supporting analyses like identifying coins with positive price changes or ranking by market cap.

  • Seamless Integration
    Designed for use with Claude Desktop, allowing natural language queries to analyze trending crypto data via MCP tools and prompts.

  • Lightweight & Extensible
    Built with minimal dependencies and a simple architecture, making it easy to extend or deploy.

Installation

Prerequisites

  • Python 3.10+
  • Node.js (for Playwright browser dependencies)
  • Claude Desktop (optional, for testing with MCP client)

Steps

  1. Clone the Repository:

    git clone https://github.com/kukapay/crypto-trending-mcp.git
    cd crypto-trending-mcp
    
  2. Install Dependencies with uv:

    uv sync
    playwright install
    

Usage

Integrating with Claude Desktop

  1. Configure Claude Desktop:

    • Edit the configuration file:

      • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
      • Windows: %APPDATA%\Claude\claude_desktop_config.json
    • Add the server configuration:

      {
        "mcpServers": {
          "crypto-trending": {
            "command": "uv",
            "args": [
              "--directory",
              "/absolute/path/to/crypto-trending-mcp",
              "run",
              "main.py"
            ]
          }
        }
      }

      Replace /absolute/path/to/crypto-trending-mcp with the absolute path to your main.py.

  2. Restart Claude Desktop:

    • Close and reopen Claude Desktop.
    • Look for the hammer icon (🔨) in the input box, indicating MCP tools are available.
  3. Interact with the Server:

    • Ask natural language questions like:
      • “What are the trending cryptocurrencies with positive 24h price changes?”
      • “Show the top 3 trending coins by market cap.”
    • Claude will use the get_trending_md_doc tool and parse_trending_md_doc prompt to fetch and analyze the data.

Example Output

The get_trending_md_doc tool returns a Markdown document like:

# Trending Crypto

...

| Rank | Name        | Symbol | Price      | 1h Change | 24h Change | 7d Change | 24h Volume      | Market Cap         |
|------|-------------|--------|------------|-----------|------------|-----------|-----------------|-------------------|
| 1    | Bitcoin     | BTC    | $67,890.12 | +0.45%    | +2.34%     | +10.12%   | $45,123,456,789 | $1,345,678,901,234 |
| 2    | Ethereum    | ETH    | $2,456.78  | -0.12%    | -1.12%     | +5.67%    | $20,987,654,321 | $295,123,456,789   |
| 3    | Solana      | SOL    | $167.45    | +0.89%    | +5.67%     | +15.34%   | $3,456,789,123  | $78,901,234,567    |

...

*Data from CoinGecko*

The parse_trending_md_doc prompt guides the LLM to extract the table and produce structured output, such as:

License

This project is licensed under the MIT License. See the LICENSE file for details.

Tools

No tools

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