# Semantic Search

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

The Pippa MCP Memory Manager is an AI memory system designed for Cursor IDE, which implements cross - session persistent memory functions based on the MCP protocol.

A code preference management server based on the MCP protocol and mem0, providing storage, retrieval, and search functions for code snippets.

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

An MCP server for extending the context window/memory of AI agents, supporting the storage, retrieval, and management of memory content, including semantic search functionality.

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.

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.

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.

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.

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.

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.

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

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.

Fabric Atelier is a high-performance MCP server built on Rust and Apache Arrow, exposing over 200 Fabric AI patterns as executable tools to AI assistants, supporting semantic search and quick pattern discovery.

A hybrid retrieval and navigation tool for RimWorld source code and XML definitions, combining lexical, semantic, and graph structures, supporting AI assistant calls

An MCP server for searching and browsing Claude conversation history, supporting hybrid search (full-text, Spotlight, and vector search), automatically reconstructs file paths and manages persistent indexes.

Oracle Nightly is an MCP server based on TypeScript, providing semantic search functions for Oracle philosophical knowledge. It combines SQLite FTS5 full - text search and ChromaDB vector search, and includes an HTTP API and command - line tools.

Lyra Intel is a complete intelligent infrastructure engine for large-scale codebase analysis. It combines in-depth code analysis, AI-driven insights, semantic search, and security scanning, supports deployment from local to enterprise level, and provides comprehensive code understanding, security auditing, and intelligent insight functions.

Memento is a knowledge graph memory system based on SQLite, providing persistent memory functions, supporting full - text retrieval and semantic search, and realizing intelligent context retrieval through BGE - M3 embedding. It is suitable for technical and creative project management.

An MCP server that provides email processing capabilities, integrating MongoDB semantic search and SQLite efficient storage

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

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.

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

A knowledge base retrieval tool based on the MCP server, supporting semantic search and content management.

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.

The Mem0 MCP server is a model context protocol service that provides persistent memory capabilities for LLMs. It supports both cloud and local storage modes, enabling cross - session information storage and retrieval.