crypto-trending-mcpAn MCP server that tracks and monitors the latest trending tokens on CoinGecko.

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Reviewed by Daniel Nikulshyn·Updated July 2026

Overview

An MCP server that tracks and monitors the latest trending tokens on CoinGecko, providing real-time insights into the most popular cryptocurrencies. The server provides two main tools: get_trending_md_doc, which returns a Markdown document of the full CoinGecko trending page, and parse_trending_md_doc, which guides LLMs to extract the trending coins table and produce structured output. The server is designed for use with Claude Desktop, allowing natural language queries to analyze trending crypto data. It has a lightweight and extensible architecture, making it easy to extend or deploy. It requires Python 3.10+, Node.js, and Claude Desktop (optional) for testing.

Key features

get_trending_md_doc tool for Markdown document generation
parse_trending_md_doc prompt for table parsing
Natural language query support via Claude Desktop

Pricing

Model: Free
Category: MCP Servers
Rating: No reviews yet

Use cases

Trending Crypto Analysis

Analyze trending cryptocurrencies with positive 24h price changes.

Market Cap Ranking

Rank trending coins by market cap.

Pros & Cons

Pros

Seamless integration with Claude Desktop
Lightweight and extensible architecture
Real-time insights into trending cryptocurrencies

Cons

Requires Python 3.10+ and Node.js
Dependent on CoinGecko data

Reviews

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Q&A

Can I integrate this server with other applications?

Yes, the lightweight and extensible architecture allows easy extension or deployment beyond Claude Desktop, though the current integration is designed for Claude Desktop via a custom MCP server configuration.

Asked by Liam O’Connor · Feb 21, 2026

What are the system requirements to run the MCP server?

You need Python 3.10+ and Node.js (for Playwright browser dependencies). Claude Desktop is optional but required if you want to test natural‑language queries directly.

Asked by Ludovic Girard · Feb 3, 2026

How does parse_trending_md_doc help me analyze the data?

It guides an LLM to extract the trending coins table from the Markdown output and produce structured results, enabling queries such as finding coins with positive 24h price changes or ranking by market cap.

Asked by Mireille Dupont · Dec 26, 2025

What data can I retrieve with get_trending_md_doc?

The tool returns a full Markdown document of CoinGecko’s trending page, including a table with columns: Rank, Name, Symbol, Price, 1h Change, 24h Change, 7d Change, 24h Volume, and Market Cap.

Asked by Larisa Ionescu · Dec 17, 2025