# Semantic Search

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.

A semantic search service for retrieving MCP servers

A high-performance local RAG system based on Rust, integrated with Claude Desktop via the MCP protocol to achieve local processing, semantic search, and privacy protection of PDF documents.

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.

OneMCP is a universal MCP protocol aggregator that uniformly manages tools from multiple external MCP servers through a meta-tool architecture. It uses progressive discovery and semantic search technologies to significantly reduce token consumption of LLMs and improve tool discovery efficiency.

An Obsidian plugin that provides local MCP server capabilities, enabling external applications to interact with the Obsidian library through standardized interfaces, including file operations, semantic search, etc.

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 for expanding the context window/memory of AI agents, supporting storage, retrieval, and management of memories, including semantic search functionality.

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

An MCP service for document retrieval based on vector search, providing relevant document context to enhance the response ability of AI assistants

PostgMem is a .NET - based MCP service that uses PostgreSQL and the pgvector extension to provide vector memory storage and retrieval functions for AI applications, supporting semantic search and tag filtering.

MCPverse is a semantic - search - based discovery engine for GitHub MCP servers, implementing natural - language search functionality using OpenAI embeddings and OpenSearch.

GraphRAG MCP is a hybrid retrieval system that combines the Neo4j graph database and the Qdrant vector database, providing document retrieval services that combine semantics and graph relationships for large language models.

An LLM long-term memory storage system based on the MCP standard, supporting semantic search and multi-type memory management

An MCP server project based on the mcp-framework, aiming to enhance the semantic search capabilities of Claude Desktop, including user guides, developer documentation, and tool extension support.

A document indexing system based on PostgreSQL and pgvector, supporting AI - driven semantic search, including functions for crawling, processing, and querying documents.

The Meilisearch Hybrid Search MCP service provides a hybrid search function that combines keywords and semantic vectors.

Aleph-10 is an MCP server that combines weather data services and vector memory storage, providing weather information query and semantic-based vector memory management functions, supporting multiple embedding options and metadata filtering.

A scalable OpenAPI endpoint discovery and API request tool that quickly finds relevant API endpoints through semantic search and executes requests.

MCP Apple Notes is a service based on the Model Context Protocol that can perform semantic search and Retrieval Augmented Generation (RAG) on Apple Notes, enabling AI assistants like Claude to reference users' notes in conversations.

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

CodeGraph CLI is a high-performance MCP server management tool that provides code repository indexing, semantic search, and architecture analysis functions, supporting multi-language parsing and vector search.

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.

Claude local semantic code search tool that uses the EmbeddingGemma model to achieve fully offline intelligent multi - language code search. Integrates with Claude Code through the MCP protocol, protects privacy, and does not require an API key.

The Indigo MCP Server Plugin is a bridge that connects AI assistants with the Indigo smart home system. It enables device search and control through natural language queries and supports functions such as semantic search, device type filtering, and historical data analysis.

An unofficial Hugging Face Hub semantic search MCP server that provides model and dataset search functionality based on natural language queries for MCP-compatible clients such as Claude.

FastApply MCP Server is an enterprise-level code intelligence platform that provides comprehensive code analysis, search, and refactoring capabilities through local AI models, AST semantic search, security scanning, and intelligent pattern recognition. It supports multi-language development and large codebase processing.

This project provides code examples for developing and running an MCP server on Oracle OCI, including Python development, AI agent integration, semantic search, SelectAI integration, and connection with AI assistants such as ChatGPT, to help build enterprise - level AI applications.

The Lilith Email System is a project that integrates a Gmail synchronization daemon and a semantic search proxy tool. It supports privacy - aware classification, PII desensitization, and multi - level embedding, and provides an email query tool for AI agents through the MCP server.