# Semantic Search

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.

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

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.

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

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.

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

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

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

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-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.

A local code indexing and semantic search tool

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

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.

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.

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.

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

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.

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.

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 service for document retrieval based on vector search, providing relevant document context for AI assistants to enhance their answering ability

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.

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.

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

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

The MCP server project of Space Frontiers provides a toolset for accessing its data sources through API interfaces.

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.