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maintenanceEnables semantic search, image search, and cross-modal search functionalities through integration with Jina AI's neural search capabilities.
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"Getting the Most Out of Jina Framework" matching MCP servers:
- Alicense-qualityDmaintenanceCrawls and indexes documentation websites to Supabase with vector embeddings for RAG, using smart sitemap discovery and Jina AI for fast content extraction with multi-project support.Last updated1MIT
- Flicense-qualityCmaintenanceAn enterprise-ready MCP server that exposes a RAG tool for retrieving relevant context and metadata from a Qdrant vector database using natural language queries.Last updated2
- AlicenseAqualityAmaintenanceA multi-agent Retrieval-Augmented Generation system exposed as an MCP server. Ask a question and a LangGraph pipeline plans the retrieval, pulls evidence from a pgvector knowledge base, optionally augments it with live web research, drafts a cited answer, and then self-critiques it for grounding — revising until the answer is supported by the sources.Last updated31MIT
Tribalofficial
FlicenseAqualityBmaintenanceSemantic 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.Last updated108- AlicenseAqualityDmaintenanceProvides persistent memory for AI agents using hybrid search (vector embeddings + BM25) with neural reranking, enabling storage and retrieval of insights, debugging solutions, and patterns across coding sessions.Last updated8MIT
- AlicenseAqualityAmaintenanceArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.Last updated101,037Apache 2.0
- AlicenseAqualityAmaintenanceA personal memory MCP server that ingests AI agent conversation logs from multiple platforms into a searchable PostgreSQL+pgvector database, enabling cross-session recall of past reasoning and decisions.Last updated6MIT
- AlicenseAqualityCmaintenanceAn MCP server that enables RAG-powered AI chat integration for websites by crawling content, building local vector stores, and generating embeddable chat widgets. It simplifies the setup of local chat servers with support for various LLM and embedding providers.Last updated532MIT
- AlicenseAqualityDmaintenanceMCP server for semantic code indexing using vector embeddings, enabling AI agents to maintain persistent memory of codebases through natural language queries and intelligent chunking.Last updated1974MIT
- FlicenseAquality-maintenanceProvides long-term memory storage for AI assistants with semantic search, enabling persistent storage of preferences, decisions, and context with relationship tracking between memories.Last updated19
- AlicenseAqualityCmaintenanceProvides semantic search capabilities by connecting Claude Desktop to a Cloudflare Workers backend powered by Vectorize. It enables natural language querying of knowledge bases using vector similarity and edge-based embedding generation.Last updated2MIT
- AlicenseAqualityCmaintenanceA local, fully-offline MCP memory server that enables persistent storage and retrieval of information using SQLite with both keyword and semantic vector search capabilities.Last updated103813MIT
- AlicenseAqualityCmaintenanceEnables creation and querying of knowledge bases using Google's Gemini API File Search feature, allowing AI applications to upload documents and retrieve information through RAG (Retrieval-Augmented Generation).Last updated326MIT
- AlicenseAqualityCmaintenanceEnables indexing and semantic search of codebases and documents via MCP, using Ollama embeddings and Qdrant vector store.Last updated5Apache 2.0
mcp-server-qdrantofficial
AlicenseBqualityDmaintenanceThis repository is an example of how to create a MCP server for Qdrant, a vector search engine.Last updated21,461Apache 2.0- FlicenseBqualityDmaintenanceA Node.js-based MCP server that enables AI agents to generate embeddings, index documents, and perform semantic vector searches using OpenAI and Chroma. It facilitates the creation of retrieval-augmented generation (RAG) pipelines for internal knowledge assistants and document-based workflows.Last updated3
- AlicenseBqualityDmaintenanceA high-performance, persistent memory system for the Model Context Protocol (MCP) providing vector search capabilities and efficient knowledge storage using libSQL as the backing store.Last updated612124MIT
- AlicenseBqualityFmaintenanceEnables storing and retrieving text passages based on semantic meaning using local embeddings (Ollama) and vector storage (ChromaDB), allowing conversational memorization and retrieval of information.Last updated518MIT
- FlicenseBqualityDmaintenanceA service discovery and proxy for MCP servers that enables registration, discovery, and execution of tools on remote MCP servers. Uses vector-based similarity search through Alibaba Cloud services to intelligently route requests to appropriate MCP services.Last updated3
