Crypto RSS MCP

The Crypto RSS MCP fills a critical gap for AI agents that need up‑to‑date market intelligence in the volatile world of cryptocurrencies. Traditional news feeds are scattered across dozens of websites, each with its own format and access method. This server aggregates those feeds into a single, structured interface that Claude or other LLMs can query on demand. By delivering concise Markdown summaries and keyword‑filtered lists, the MCP enables agents to stay informed without manually sifting through raw RSS XML.

At its core, the server exposes two primary tools: and . The former pulls a curated list of feeds from an OPML file supplied by Chainfeeds, allowing developers to filter by keyword or category. The latter fetches the latest ten entries from any specified feed, automatically converting them into human‑readable Markdown with titles, links, publication dates, and summaries. This transformation removes the need for downstream parsers and ensures consistent formatting across all feeds.

Beyond basic retrieval, the MCP offers a dedicated prompt——that instructs an LLM to examine a feed’s content, extract key points, and identify emerging market trends. This is particularly valuable for portfolio managers or trading bots that rely on timely sentiment analysis to inform decisions. By embedding this prompt directly in the server, developers can trigger complex natural‑language analysis with a single API call.

In practice, the MCP is ideal for workflows that require real‑time market awareness:

• Trading bots can query the latest news and immediately gauge sentiment before placing orders.
• Research assistants can compile a daily digest of regulatory updates, technological breakthroughs, and macroeconomic shifts.
• Portfolio dashboards can surface highlighted headlines alongside portfolio metrics for a holistic view.

Integration is straightforward: the server registers its tools and prompt under the MCP schema, making them discoverable by any compliant AI assistant. Once connected, a client can issue a call to discover feeds, fetch the most recent articles with , and pass those results to the LLM for trend analysis—all within a single, seamless conversation. This tight coupling eliminates boilerplate code and lets developers focus on higher‑level logic rather than data plumbing.

Overall, the Crypto RSS MCP offers a ready‑made, extensible bridge between chaotic cryptocurrency news streams and the structured reasoning capabilities of modern AI assistants. Its combination of feed aggregation, keyword filtering, Markdown formatting, and built‑in analysis prompts gives developers a powerful toolkit for building market‑aware applications with minimal overhead.