crypto-rss-mcp

Crypto RSS MCP

An MCP server that aggregates real-time cryptocurrency news from multiple RSS feeds, helping AI agents make informed decisions in a fast-paced market.

Features

• Feed Retrieval: Fetches latest entries from specified RSS feeds, formatting them as Markdown with plain-text summaries.
• Keyword Filtering: Filters feeds by keyword in descriptions or categories.
• OPML Support: Import feed list from a local OPML file provided by Chainfeeds.
• LLM Integration: Includes a prompt for analyzing feed content to summarize key points and identify cryptocurrency market trends.

Prerequisites

• Python: Version 3.10.
• uv: Package and dependency manager for Python projects.

Installation

1. Clone the Repository:
   git clone https://github.com/kukapay/crypto-rss-mcp.git cd crypto-rss-mcp
2. Install Dependencies: Add the required dependencies using uv:
   uv sync

Usage

Running the Server

Start the FastMCP server in development mode:

Installing to Claude Desktop

Install the server as a Claude Desktop application:

Configuration file as a reference:

Available Tools

get_crypto_rss_list

Lists available RSS feeds from an OPML file, optionally filtered by keyword.

Parameters:

• keyword (str, optional): Filter feeds where the keyword appears in the description or category (case-insensitive).
• opml_file (str, optional): Path to a local OPML file (defaults to "RAW.opml").

Example:

List available cryptocurrency RSS feeds

Output:

get_rss_feed

Fetches and formats the latest 10 entries from a specified RSS feed as Markdown.

Parameters:

• feed_url (str): The URL of the RSS feed to fetch.

Example:

Read this RSS feed: https://blog.0xproject.com/feed

Output:

Available Prompts

analyze_rss_feed

Creates a prompt for analyzing RSS feed content, summarizing key points and identifying cryptocurrency market trends.

Parameters:

• url (str): The RSS feed URL to analyze.

Example:

Analyze the content of this RSS feed https://blog.0xproject.com/feed, summarize the key points, and identify any trends in the cryptocurrency market."

License

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