# Semantic Search

An MCP server that provides file semantic search functionality, enabling intelligent retrieval of document contents through vector embedding

The Memvid MCP Server is an AI service interface based on video memory technology, supporting encoding content such as text and PDFs into video formats and providing semantic search and conversation functions.

The mem0 MCP Server is a middleware for project management, providing structured project memory storage, semantic search, and project information management functions, and supporting interaction with the MCP host application through the standard input - output protocol.

An MCP vector database service based on Chroma, providing document storage and semantic search functions

A document retrieval system based on MongoDB Atlas vector search and Voyage AI embedding technology, supporting semantic search and text matching, including document chunking, embedding generation, and storage functions.

This is a PostgreSQL semantic search server based on the Model Context Protocol (MCP) standard. It enables AI assistants to understand the semantic structure of the database and execute natural language queries through vector embedding technology.

An MCP server that provides semantic search and resource access for the Obsidian knowledge base

Slunk is a real-time Slack search tool for macOS, providing intelligent chat analysis through local semantic search and MCP service integration

Rememberizer's MCP server provides the ability to interact with document and knowledge management APIs for large language models

eShopLite is a lightweight .NET-based eCommerce platform that offers features such as semantic search, cloud platform integration, and intelligent inference models to help developers quickly build and scale online stores.

The Vibe Coder MCP Server v4 is the final stable version, which introduces the Automatic Context Retrieval System (ACRS) and provides functions such as context memory, advanced caching, semantic search, and sequential thinking to enhance the capabilities of AI assistants.

A YouTube MCP server project that provides video search, subtitle extraction, and semantic search functions, and supports integration with AI clients.

An MCP memory server based on the Qdrant vector database, providing knowledge graph and semantic search capabilities.

A lightweight MCP server project for loading local PDF files, extracting and chunking content, building semantic search indexes, and sending relevant paragraphs to Claude Desktop for document-based Q&A.

The HubSpot MCP Server is middleware that connects an AI assistant to HubSpot CRM data, providing access to contact, company, and interaction data. It has vector storage and caching mechanisms to improve performance.

An implementation of the MCP Server based on txtai, providing semantic search, knowledge graph, and AI text processing functions.

Pixeltable's multi-modal model context protocol server set provides indexing and querying functions for audio, video, images, and documents

The OpenRouter Agents MCP Server is a research agent server based on the Model Context Protocol (MCP). It uses Claude 3.7 Sonnet as the planning agent to coordinate multiple OpenRouter models to decompose and execute complex research tasks, providing efficient and reliable AI research services.

The Onyx MCP Server is a protocol server that connects MCP clients to the Onyx knowledge base, providing semantic search and intelligent chat functions.

This project provides a set of tools for crawling website content and generating Markdown documents. It also implements semantic search for documents through the MCP server and supports integration with tools such as Cursor.

An MCP server that provides functions for YouTube video search, subtitle extraction, and semantic search

An MCP server that enhances the functionality of the Qdrant vector database, providing functions such as collection management, document addition, and semantic search.

MCP-Mem0 is a template implementation that provides long-term memory functions for AI agents, integrating the Model Context Protocol (MCP) server and Mem0, supporting memory storage, retrieval, and semantic search.

An MCP server that provides email processing functions, integrates MongoDB semantic search and SQLite for efficient storage, and supports Outlook email processing, vector embedding generation, and multi - email account management.

Cursor10x is an AI - powered development memory system that provides persistent context memory capabilities for the Cursor editor. It integrates four memory types: short - term, long - term, episodic, and semantic, to achieve intelligent code assistance.

A Machine Control Protocol (MCP) server based on the Qdrant vector database for storing and retrieving text information, supporting semantic search and metadata storage.

An MCP server implementation designed for the Claude desktop application, providing persistent memory functions, including a tiered memory architecture, multiple memory types, and semantic search features.

A memory server implementing the Model Context Protocol (MCP), providing persistent memory storage and retrieval functions based on a knowledge graph for large language models.

A code navigation MCP server based on semantic search, achieving efficient code retrieval through AI embedding and AST parsing, and reducing token consumption

A Claude conversation log analysis system with 4 intelligent agents, providing semantic analysis, pattern discovery, automatic document generation, and intelligent coordination functions, natively integrated with Claude Code through MCP.