"A server for RSS feed processing with database storage and AI-powered search" matching MCP servers:

An MCP server that enables searching across multiple RSS feed sources simultaneously, with support for extensible feed sources and both STDIO and HTTP modes.

Enables Claude to fetch, parse, and manage RSS/Atom feeds through the Model Context Protocol. It supports feed registration and retrieval, allowing users to access article summaries and full content from multiple sources via natural language.

AI-powered VMware storage management for vSphere. Manage datastores, iSCSI targets, and vSAN via natural language with 11 MCP tools.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

Local MCP server for reading and searching RSS and Atom feeds, enabling AI assistants to fetch feed contents, search entries by keyword, and view feed metadata without any cloud intermediary.

Enables RSS feed management using the Fever API, supporting retrieval of feeds, groups, and items with read/save actions.

50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.

An MCP server for managing and querying RSS/news feeds, enabling real-time fetching, searching, and retrieval of feed items.

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

MCP server for fetching, parsing, and managing RSS feeds. Features Fetch and parse RSS/Atom feeds In-memory caching with TTL Batch fetching of multiple feeds Monitor feeds for new items Search content across multiple feeds Extract and format feed content

Enables language models to fetch and parse standard RSS/Atom feeds and RSSHub content, with multi-instance support to improve retrieval success rates.

An MCP server for RSS feed aggregation and article content extraction, allowing users to subscribe to feeds and extract full article content as Markdown.

A lightweight MCP data broker that stores large binary payloads under a UUID, enabling MCP clients and agents to exchange massive results without flooding the LLM context window.

Enables searching and analyzing over 560,000 CS/AI/ML research papers with LLM-powered novelty scoring and summaries. Supports literature reviews, trend monitoring, benchmark tracking, and deep research sessions through 23 specialized tools.

Provides agent-friendly web search via MCP with zero-config free engines, region-aware failover, freshness filtering, and a one-call research tool that searches, fetches, and summarizes pages.

A dependency-free MCP server that reads Reddit through its RSS feeds, enabling search, browsing subreddits, and reading post comments without any API keys or authentication.

A stateless RSS competitive-intelligence MCP server that fetches and filters RSS/Atom feeds by keywords, deduplicates, and sorts by recency to return a focused digest.

Fetches and reads RSS/Atom feeds, enabling MCP clients to pull latest items from blogs, news sites, and release feeds and build digests.

Fetches RSS feeds from tech blogs and news sites and returns AI-generated summaries via Claude.

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