crypto-rss-mcp
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Crypto RSS MCP is a server that aggregates real-time cryptocurrency news from multiple RSS feeds, aiding AI agents in making informed decisions in a fast-paced market.
Crypto RSS MCP is designed to streamline the process of gathering and analyzing cryptocurrency news from various RSS feeds. By leveraging the power of Model Context Protocol (MCP), it provides AI agents with timely and relevant information, enabling them to make informed decisions in the dynamic cryptocurrency market. The server supports features such as feed retrieval, keyword filtering, OPML support, and LLM integration for content analysis. It is built on Python 3.10 and utilizes the 'uv' package manager for dependency management. The server can be run in development mode or installed as a Claude Desktop application, providing flexibility in deployment.
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.
Tools
get_crypto_rss_list
Lists available RSS feeds from an OPML file, optionally filtered by keyword.
get_rss_feed
Fetches and formats the latest 10 entries from a specified RSS feed as Markdown.
