A
license-
qualityD
maintenanceEnables semantic search across multiple Qdrant vector database collections, supporting multi-query capability and providing semantically relevant document retrieval with configurable result counts.
46
MIT
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"Using an MCP server to retrieve logs from a terminal for cursor" matching MCP servers:
- Flicense-qualityCmaintenanceEnables searching through vectorized Cursor IDE chat history via a FastAPI service powered by LanceDB and Ollama.7
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- Alicense-qualityDmaintenanceA Machine Control Protocol (MCP) server that enables storing and retrieving information from a Qdrant vector database with semantic search capabilities.Apache 2.0
- Flicense-qualityCmaintenanceMCP server that ingests PDF documents into pgvector for semantic search and RAG pipelines. It handles extraction, chunking, local embeddings, and storage, enabling agents to make PDFs searchable via natural language.
- Flicense-qualityCmaintenanceEnables users to ingest PDF/DOCX/TXT/MD documents and ask natural language questions about them, using local embeddings and Groq-powered retrieval-augmented generation.
- Alicense-qualityDmaintenanceA local-first Graph-RAG system combining ChromaDB with metadata-based graph relationships and Gemini 2.5 Flash for intelligent Q&A over Obsidian vaults, supporting MCP clients like Claude Desktop, Cursor, and Raycast.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
- Alicense-qualityCmaintenanceAn integration server implementing the Model Context Protocol that enables LLM applications to interact with Milvus vector database functionality, allowing vector search, collection management, and data operations through natural language.240Apache 2.0
- Flicense-qualityDmaintenanceA Python-based local indexing server that creates semantic search capabilities for codebases using ChromaDB, allowing Cursor IDE to perform vector searches on your code without sending data to external services.34
- AlicenseAqualityCmaintenanceAn MCP server that provides semantic memory on top of Qdrant vector search, with tools to store and retrieve information using embeddings.2Apache 2.0
LanceDB MCP Serverofficial
FlicenseBqualityDmaintenanceA basic serverless MCP server using LanceDB to store and retrieve documents via three tools: ingest, retrieve, and get table details.325- AlicenseDqualityCmaintenanceA lightweight RAG system that provides an MCP server for searching and interacting with vector-based knowledge bases. It enables users to perform retrieval-augmented generation and search across Qdrant collections through a standardized interface.12MIT
@manasdb/mcp-serverofficial
Alicense-qualityDmaintenanceProvides a plug-and-play persistent memory layer for MCP-compatible AI assistants, enabling them to store, retrieve, and delete memories across multiple databases simultaneously using semantic vector search.15MIT- Alicense-qualityCmaintenanceEnables AI assistants to search and retrieve information from your knowledge base using RAG (Retrieval-Augmented Generation) with hybrid search, document indexing, and ChromaDB vector storage.245MIT
- Flicense-qualityDmaintenanceEnables AI agents to search and retrieve Standard Operating Procedures using semantic search with Italian language support, powered by ChromaDB and RAG for intelligent document retrieval from categorized SOP collections.
- 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-quality-maintenanceA local Retrieval-Augmented Generation system that enables users to ingest markdown files into a FAISS-powered vector knowledge base for semantic search. It provides tools for document indexing and context retrieval to support informed LLM queries without external dependencies.
- AlicenseAqualityCmaintenancePython MCP server for vector search using Qdrant vector database and Ollama embeddings, with advanced query techniques like query expansion, HyDE, and reranking.22MIT
- AlicenseAqualityDmaintenanceAn MCP server that integrates with LangChain and ChromaDB to provide documentation search for AI libraries and vector database management.4MIT