A
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qualityC
maintenanceExposes 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
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"How to connect to a REST API" matching MCP servers:
- 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.
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- 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
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- 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
- FlicenseAqualityBmaintenanceEnables making REST API calls to Teradata cloud services including Elastic Compute, Vector Store, OMS, and QueryGrid. Supports custom authentication, Socks5 proxy, and multipart file uploads.8
- 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- AlicenseBqualityBmaintenanceProvides LLM clients with a persistent, scalable knowledge graph memory system that supports semantic retrieval, contextual recall, and temporal awareness.21891MIT
- 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
- AlicenseBqualityCmaintenanceAn MCP server for storing and retrieving memories using Qdrant vector search, acting as a semantic memory layer.2Apache 2.0
- FlicenseBqualityDmaintenanceEnables persistent memory for AI systems by providing tools for episodic, semantic, and procedural data storage through a vector-and-graph-enhanced database. It allows models to maintain long-term continuity using similarity search, thematic clustering, and identity tracking.241
- AlicenseBquality-maintenanceEnables 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
- FlicenseCqualityCmaintenanceA local-first AI backend that combines Model Context Protocol, Retrieval-Augmented Generation, and an agent runtime to answer questions from a private knowledge base.1
- 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
Vectorizeofficial
Alicense-qualityDmaintenanceVectorize MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.73111MIT- MIT
