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

Enables agents to discover feeds for a site, retrieve dated feed items as clean JSON, and perform keyless news searches across Google News and Bing News with deduplication and publisher attribution.

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.

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 users to subscribe to RSS feeds, read clean extracted article text without ad-heavy sites, and perform full-text and semantic searches using local SQLite storage with no account required.

Professional RSS/Atom feed management system with AI-powered analytics including sentiment analysis, trend detection, auto-categorization, cross-source verification, automated scheduling, and content export capabilities.

This read-only remote MCP server lets AI clients query a curated catalog for AI-assisted development and agent workflow articles, retrieve recent posts or daily snapshots, and obtain source metadata and links to the originals for review and summarization.

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

Enables AI to manage RSS subscriptions, fetch and summarize news, and organize results into tools like Notion.

Enables subscribing to RSS/Atom feeds, polling them incrementally, and querying cached entries with search, summaries, and source listings. Tracks per-session consumption state so unacknowledged candidates can be surfaced for proactive notification.

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

Secure MCP server for RSS/Atom feed reading with SQLite backend. Enables feed management, entry search, and OPML import/export.

Fetch, filter, and search RSS blog feeds to monitor industry content, track competitor blogs, and discover trending topics. 8 tools for feed management, article search, and content monitoring.

Enables deterministic RSS 2.0 feed publishing and lifecycle management, including immutable entry IDs, corrections, retractions, archiving, content-addressed media assets, and semantic search over active entries.

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

MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.

Provides aggregated plugin index data from GitHub and npm as an MCP server, enabling search, stats, and sync via natural language or commands.

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

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.

Provides AI-powered search and documentation tools using Google Vertex AI or Gemini API with real-time web search grounding, enabling technical queries, code analysis, documentation retrieval, and architecture recommendations to overcome LLM knowledge gaps.

Enables digital marketers to fetch, search, and filter RSS blog feeds from multiple sources, with tools for managing feeds and searching across categories and date ranges.

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

Enables interaction with RSS readers that support the FreshRSS API through natural language. Allows users to manage and query their RSS feeds and articles via LLM conversations.

An agentic Retrieval-Augmented Generation (RAG) system that combines a small curated machine learning knowledge base with real-time web search capabilities, powered by the Model Context Protocol (MCP).

Enables intelligent RSS feed management with AI-powered semantic search, advanced filtering, and a comprehensive reading workflow. Supports OPML parsing, article organization with status tracking, and token-efficient browsing of large feed collections.

Provides a natural language interface for querying and managing PostgreSQL, MySQL, MariaDB, MSSQL, and SQLite databases using the Model Context Protocol. Users can explore database schemas and visualize query results through an integrated web dashboard.

Provides intelligent search aggregation for AI agents, automatically detecting intent and returning structured results with links to platforms for various categories like movies, books, products, courses, and more.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

Read-only MCP server for monitoring public RSS and Atom feeds from competitor and industry websites, enabling competitive intelligence workflows through feed fetching, searching, and thematic summarization.