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licenseNot graded
qualityB
maintenanceMCP server for semantic search over PDF documents using RAG, pgvector, and OpenAI embeddings. Includes a web app for document upload and management.
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"How to add a web scraper" matching MCP servers:
Tribalofficial
FlicenseAqualityAmaintenanceSemantic memory for AI builders: capture the tacit engineering know-how that never reaches your docs, recall it the moment it applies. Built in Rust on Postgres and pgvector.109- AlicenseAqualityAmaintenanceEmbedded, local-first agent memory: facts extracted into a per-namespace SQLite file (vec0 + FTS5) with hybrid retrieval and point-in-time (time-travel) queries. ADD-only history over stdio — no server process, no cloud dependency.747Apache 2.0
- FlicenseAqualityDmaintenanceEnables AI agents to query a local knowledge graph built from document collections using hybrid search (BM25 + vector fusion) and entity-relationship extraction. Supports privacy-first, offline operation with tools for semantic search, entity graph exploration, and corpus statistics.3
- FlicenseAqualityDmaintenanceIntegrates R2R (Retrieval-Augmented Generation) with Claude Desktop, enabling semantic search across knowledge bases and RAG-based question answering with support for vector, graph, web, and document search.2
- AlicenseAqualityDmaintenanceIndexes codebases using semantic embeddings for natural language search, enabling developers to find code with queries like 'how does authentication work'.81MIT
- AlicenseAqualityCmaintenanceA multimodal local memory MCP server that lets AI agents search across text, PDFs, images, audio, and video using Gemini Embedding 2 and a local ChromaDB.74MIT
- AlicenseAqualityCmaintenanceConnects AI assistants to a persistent memory engine with Neo4j knowledge graph and ProMem extraction, enabling long-term context and associative memory across chats and workspaces.67MIT
mcp-server-qdrantofficial
AlicenseBqualityCmaintenanceThis repository is an example of how to create a MCP server for Qdrant, a vector search engine.21,499Apache 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
- AlicenseBqualityNot gradedmaintenanceEnables AI assistants to interact with Meilisearch through a standardized interface, supporting index and document management, search capabilities, settings configuration, task monitoring, and experimental vector search.68
- FlicenseBqualityCmaintenanceEnables storing and retrieving semantic memories using LanceDB vector database, with tools to add memories and search by similarity.29
- 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
@vectros-ai/mcp-serverofficial
AlicenseNot gradedqualityAmaintenanceMCP 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.3451Apache 2.0
MCP MariaDB Serverofficial
AlicenseNot gradedqualityCmaintenanceAn interface for managing and querying MariaDB databases that supports standard SQL operations alongside advanced vector and embedding-based search capabilities. It enables AI assistants to seamlessly integrate relational and vector data workflows through a standardized protocol.189MIT- AlicenseNot gradedqualityDmaintenanceA Machine Control Protocol (MCP) server that enables storing and retrieving information from a Qdrant vector database with semantic search capabilities.Apache 2.0
- AlicenseNot gradedqualityDmaintenanceA server component of the Model Context Protocol that provides intelligent analysis of codebases using vector search and machine learning to understand code patterns, architectural decisions, and documentation.12MIT
- AlicenseNot gradedqualityBmaintenanceEnables natural language search and analysis of uploaded PDF, CSV, and Excel documents using retrieval-augmented generation and MCP tools, providing contextual answers to user queries.MIT
- AlicenseNot gradedqualityFmaintenanceA local-first MCP server for indexing and searching codebases using PostgreSQL and Ollama embeddings, ensuring complete privacy and zero API costs.16MIT
- AlicenseNot gradedqualityDmaintenanceProvides advanced document search and processing capabilities through vector stores, including PDF processing, semantic search, web search integration, and file operations. Enables users to create searchable document collections and retrieve relevant information using natural language queries.MIT