OlympHill

Past battle · 2026-08-03 UTC

MCP Servers Showdown — August 3, 2026

From the MCP Servers category. 6 marks placed across 2 fighters. crypto-rss-mcp took the crown.

Final standings

The line-up

The fighters

Profiles of every tool that competed in this battle, ranked by their final score.

1c

crypto-rss-mcp

An MCP server that aggregates real-time cryptocurrency news from multiple RSS feeds.

No reviews yetFree

Crypto RSS MCP is a server that aggregates real-time cryptocurrency news from multiple RSS feeds. It helps AI agents make informed decisions in a fast-paced market by providing features such as feed retrieval, keyword filtering, OPML support, and LLM integration. The server can fetch the latest entries from specified RSS feeds, format them as Markdown with plain-text summaries, and filter feeds by keyword in descriptions or categories. It also includes a prompt for analyzing feed content to summarize key points and identify cryptocurrency market trends. This tool is suitable for developers and AI agents that require real-time cryptocurrency news to make informed decisions. The server is built using Python and can be installed and run using the uv package manager. It can also be installed as a Claude Desktop application.

  • Feed Retrieval
  • Keyword Filtering
  • OPML Support
  • LLM Integration
  • get_crypto_rss_list
  • get_rss_feed
2vectorize-mcp-server logo

vectorize-mcp-server

Official Vectorize MCP Server

No reviews yetFree

The Vectorize MCP Server is an implementation of the Model Context Protocol (MCP) that integrates with Vectorize for advanced vector retrieval and text extraction. It allows users to perform tasks such as document retrieval, text extraction and chunking, and deep research generation. The server can be installed and run using npx or manually configured in VS Code or other compatible environments. It requires authentication with a Vectorize organization ID, token, and pipeline ID to function.

  • document retrieval
  • vector search
  • text extraction and chunking
  • deep research generation