A
license-
qualityD
maintenanceFacilitates semantic analysis of chat conversations through vector embeddings and knowledge graphs, offering tools for semantic search, concept extraction, and conversation pattern analysis.
12
MIT
70,972 servers. Updated
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"An AI-powered golf swing analysis MCP server" matching MCP servers:
@vectros-ai/mcp-serverofficial
Alicense-qualityAmaintenanceMCP server for Vectros, a typed multi-tenant record store with hybrid search and citation-grounded RAG, enabling agents to query, search, and ask questions over their own indexed data.801Apache 2.0- AlicenseBqualityCmaintenanceProvides a local-first secure memory store with encrypted payloads, entity extraction, and vector persistence, exposing read, write, and delete tools with granular capability controls.4Apache 2.0
- Alicense-qualityBmaintenanceExposes document ingestion, retrieval (vector, vectorless, hybrid), and multi-turn chat tools for a LangGraph-powered RAG pipeline with streaming answers.2MIT
- Alicense-qualityDmaintenanceEnables semantic search, image search, and cross-modal search functionalities through integration with Jina AI's neural search capabilities.5MIT
- Alicense-qualityCmaintenanceA local Retrieval-Augmented Generation system that enables AI agents to query and retrieve information from document collections using ChromaDB vector search and Ollama LLMs through a FastAPI interface.109MIT
- Alicense-qualityCmaintenanceExposes document retrieval as an MCP tool, enabling LLMs to search a local vector store of markdown documents. Includes a retrieval evaluation harness to measure hit rate and MRR.MIT
- Alicense-qualityBmaintenanceEnables Claude Code to search and retrieve from a local knowledge base of markdown notes using hybrid semantic+keyword search, keeping data entirely offline.4MIT
- Alicense-qualityCmaintenanceEnables AI agents to store, retrieve, and manage contextual knowledge across sessions using semantic search with PostgreSQL and vector embeddings. Supports memory relationships, clustering, multi-agent isolation, and intelligent caching for persistent conversational context.3848MIT
- Flicense-qualityDmaintenanceAn MCP-compatible RAG backend using LangGraph and FastAPI, enabling chaining of AI model logic with document context search.1
- Flicense-qualityDmaintenanceEnables Claude Desktop to search private documents using Azure AI Search and perform web searches with Bing, providing AI-enhanced results with source citations through Azure AI Agent Service or direct Azure AI Search integration.
zvec-mcp-serverofficial
AlicenseAqualityDmaintenanceEnables LLMs to interact with Zvec vector database through tools for collection management, document operations, vector search, and AI-powered embeddings.177Apache 2.0
Moorcheh MCP Serverofficial
AlicenseAqualityDmaintenanceEnables interaction with Moorcheh AI services including namespace management, document embedding, vector search, and AI-powered answers through the Model Context Protocol.13214Apache 2.0- AlicenseBqualityCmaintenanceAn MCP server for storing and retrieving memories using Qdrant vector search, acting as a semantic memory layer.2Apache 2.0
- Alicense-qualityDmaintenanceEnables Claude to search and retrieve documents from Azure AI Search indexes with intelligent summarization and analysis using LangGraph workflows and optional Google Gemini integration.MIT
- Alicense-qualityDmaintenanceEnables AI assistants to search, query, and manage Azure AI Search indexes using full-text, semantic, and vector search, alongside index and document operations.MIT
- Alicense-qualityDmaintenanceA server implementation that allows secure communication between MCP clients and privateGPT, enabling users to chat with privateGPT using knowledge bases and manage sources, groups, and users through a standardized Model Context Protocol.6MIT
- Flicense-qualityCmaintenanceAn MCP server that analyzes Python codebases using AST, stores code elements in a vector database, and enables natural language queries about code structure and functionality using RAG with Google's Gemini models.5
- Flicense-qualityBmaintenanceMunin is a high-performance, pragmatic memory layer for AI agents (Cursor, Claude Code, OpenClaw, Gemini CLI,...). Unlike other solutions, Munin focuses on developer productivity with: * Multi-Project Support: Isolate memories into separate "brains" (Context Cores). * GraphRAG: Automatically builds a knowledge graph from your context. * Sub-200ms Search: Blazing fast Hybrid & Semantic3
- Flicense-qualityDmaintenanceEnables AI-powered document analysis and querying for project documentation using vector embeddings stored in Redis. Supports document upload, context-aware Q\&A, automatic test case generation, and requirements traceability through OpenAI integration.270