"Setting Up or Using an MQTT Server" matching MCP servers:

Enables AI coding agents to retain and recall project context across sessions through local Markdown storage and hybrid keyword/semantic retrieval, including reusable knowledge cards. It runs offline as a daemon and integrates with MCP-compatible IDEs to continue long-running work without re-explaining decisions or architecture.

A lightweight MCP server for semantic search over markdown knowledge bases, enabling AI coding agents to index, search, and answer questions from local markdown documents.

Enables querying a hybrid-retrieval RAG pipeline (dense + BM25) over ingested PDF documents, returning answers generated by Gemini.

Exposes hybrid retrieval (dense embeddings + BM25 + RRF) and document operations (search, fetch, rerank) as MCP tools, using Qdrant and OpenAI embeddings for local or server mode.

An MCP server for SearchApi that provides Google web, news, scholar, and YouTube search as agent-ready MCP tools.

Integrates Perplexity AI's chat capabilities with real-time web search, enabling users to ask questions and receive AI-powered answers with up-to-date information and citations from verified web sources.

MCP server that enables semantic search over macroeconomic data using the Lambda Capture API.

A local MCP server that exposes Mem0 as persistent memory tools to any MCP client, storing data locally with no cloud API or API key required.

Enables AI assistants to discover, retrieve details about, and manage MCP (Model Context Protocol) servers that provide additional tools and capabilities on demand.

Extends large language model context length up to 60 times using gravitational memory, designed for Claude Code and Anthropic AI models.

An open-source server implementing the Model Context Protocol (MCP) that enables capturing insights from AI sessions and transforming them into persistent, searchable knowledge accessible across tools.

An MCP server that integrates with LangChain and ChromaDB to provide documentation search for AI libraries and vector database management.

A Model Context Protocol server that enables AI assistants like Claude to perform real-time web searches using the Exa AI Search API in a safe and controlled manner.

Enables AI clients to search live documentation for popular developer libraries and return clean, source-cited summaries via a RAG pipeline.

A forkable RAG project with an MCP server for VS Code/Copilot, enabling indexing and querying of knowledge from URLs, PDFs, or TeX files.

An MCP server that integrates with Apktool to provide live reverse engineering support for Android applications using Claude and other LLMs through the Model Context Protocol.

An MCP server that provides semantic memory on top of Qdrant vector search, with tools to store and retrieve information using embeddings.

A Model Context Protocol (MCP) server that enables Claude to use Monte Carlo Tree Search algorithms for deep, explorative analysis of topics, questions, or text inputs.

This server allows users to perform web searches using Perplexity AI, providing a tool for retrieving search results through a simple API interface.

This is an MCP server that provides access to the Alpha Vantage API, allowing stock data retrieval to be used as context to LLMs.