"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.

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

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.

An MCP server that provides RSS feed tools for Claude Desktop, enabling fetching and parsing RSS feeds with configurable feeds and blocklists.

A powerful MCP server for Excel operations with seamless Supabase Storage integration.

Enables secure execution of Python code, SQL queries, and metric fetching through MCP with ephemeral Docker sandboxing.

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.

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.

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

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 Codex to manage macOS local and cloud storage by indexing files, planning moves or copies, executing them with SHA-256 verification, and requiring explicit confirmation before deleting local originals.

An MCP server that enables AI assistants to create and run Processing sketches directly through natural language commands.

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

Enables AI applications to run SQL queries and retrieve results from Oracle Database.

Provides persistent, inspectable memory storage for AI agents using SQLite. Agents can store, recall, and search memories across sessions via three MCP tools.

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 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.

Enables asking natural language questions about local videos, using Whisper transcription, ChromaDB vector storage, and Groq for timestamped answers via MCP.

MCP server that bridges Ableton Live with AI models, enabling real-time project inspection and control such as track overview, device parameters, and audio analysis.

MCP server that launches Mesen/MesenCE headlessly and exposes the emulator's debugger-face Lua API over MCP JSON-RPC, enabling AI agents to load ROMs, step frames, inspect memory/registers, manage breakpoints/watches, trace execution, and export Code/Data Logger maps for SNES, NES, PC Engine, and Game Boy Advance.

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.

MCP server for US (Mississippi) and UK government procurement feeds. Search live bids and tenders and track what changed over time: deadline moves, new awards, and added documents. Tools: search_opportunities, get_opportunity, list_recent_changes.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

Enables interaction with Google Cloud Storage buckets and blobs through an MCP server, supporting operations like listing, uploading, searching, batch operations, and generating signed URLs.

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).

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.

Enables AI assistants to recommend jobs, parse candidate profiles, compute semantic skill match scores, and filter opportunities by location through standardized MCP tools.

Read-only Azure storage intelligence MCP server enabling scoped investigations, risk analytics, cost savings simulation, data health checks, and admin tenant-wide discovery across a synthetic storage estate.