# Semantic Search

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.

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

The Jina AI MCP server is a Model Context Protocol service that provides semantic search, image search, and cross-modal search functions, supporting seamless integration with Jina AI's neural search capabilities.

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

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

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.

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.

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.

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

An MCP server that connects to the DocsScraper web API, providing document fragment retrieval based on semantic search, supporting service filtering and fallback data sources.

Tempera is a system that provides persistent memory for Claude Code. Through capturing coding sessions, semantic search, and reinforcement learning, it enables the AI to learn from historical experiences and continuously improve.

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 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 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

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

A UK parliamentary data service project based on FastMCP, providing query and semantic search functions for data such as parliamentary members, constituencies, election results, government positions, parliamentary Q&A, and debate records, supporting access through MCP clients such as Claude.

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 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.

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

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 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.

This project builds an AI system based on Nasdanika capabilities, focusing on operating on resource collections (interconnected models). It describes model elements and their relationships from multiple angles through the 'narrator' processor, and uses embeddings and vector storage to implement semantic search and RAG (Retrieval - Augmented Generation). It also supports the chat completion functions of OpenAI and Ollama.

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.