# Semantic Search

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.

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

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.

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.

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 document semantic search service based on the Qdrant vector database, supporting URL and local file imports and providing natural language query functions.

An experimental local code indexing service based on Python that uses ChromaDB for storage and provides semantic search functionality, serving tools such as Cursor through the MCP protocol.

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.

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.

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.

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.

A remote ChromaDB server based on the Streamable HTTP MCP protocol, providing AI assistants such as Claude with the ability to remotely access the vector database, supporting cross - platform shared memory and semantic search.

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.

OMEGA is a persistent memory system designed for AI programming agents, providing cross - session memory, semantic search, automatic capture, and task resumption functions. It is an open - source, local alternative to Mem0.

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 service for document retrieval based on vector search, providing relevant document context to enhance the response ability 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 scalable OpenAPI endpoint discovery and API request tool that quickly locates API endpoints and executes requests through semantic search, especially suitable for handling large OpenAPI documents.

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.

Semantic search MCP service based on the Qdrant vector database

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.

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.

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

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.

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.