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  • Plesk Extensions Guide MCP

    barateza
    A
    license
    Not graded
    quality
    Not graded
    maintenance
    Provides semantic search capabilities over the Plesk Extensions Guide documentation using Retrieval-Augmented Generation (RAG) and vector embeddings. It enables AI assistants to retrieve relevant technical information and answer natural language queries regarding Plesk extension development.

  • MCP PDF to PGVector

    sanskritiparmendranaval
    F
    license
    Not graded
    quality
    C
    maintenance
    MCP 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.

  • Tiny Chat

    to-aoki
    A
    license
    D
    quality
    C
    maintenance
    A 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.
    1
    2
    MIT
  • bikky by bikky-dev

    bikkyofficial

    bikky-dev
    A
    license
    A
    quality
    A
    maintenance
    Provides persistent memory for AI coding agents via MCP, enabling teams to share and recall facts across sessions. Automatically captures, classifies, and curates knowledge from supported transcript sources.
    18
    60
    1
    AGPL 3.0

  • RecallNest

    AliceLJY
    A
    license
    A
    quality
    A
    maintenance
    Persistent memory MCP server for AI coding agents (Claude Code, Codex, Gemini CLI). Hybrid retrieval (vector + BM25), cross-encoder reranking, knowledge graph, session checkpoint/resume, and multi-scope isolation. Local-first with LanceDB.
    30
    318
    15
    MIT
  • @manasdb/mcp-server by manasdb

    @manasdb/mcp-serverofficial

    manasdb
    A
    license
    Not graded
    quality
    D
    maintenance
    Provides 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.
    15
    MIT
  • MCP MariaDB Server by MariaDB

    MCP MariaDB Serverofficial

    MariaDB
    A
    license
    Not graded
    quality
    C
    maintenance
    An 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.
    189
    MIT

  • MCP Server for Qdrant

    Jimmy974
    A
    license
    Not graded
    quality
    D
    maintenance
    A Machine Control Protocol (MCP) server that enables storing and retrieving information from a Qdrant vector database with semantic search capabilities.
    Apache 2.0

  • RAG-MCP

    Luxter77
    A
    license
    Not graded
    quality
    Not graded
    maintenance
    A Python server that enables retrieval-augmented generation through semantic, question/answer, and style search modalities using PostgreSQL and pgvector for embedding storage and retrieval.
    2
    Apache 2.0

  • MCP Codebase Insight

    tosin2013
    A
    license
    Not graded
    quality
    D
    maintenance
    A 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.
    12
    MIT

  • Files-DB-MCP

    randomm
    A
    license
    Not graded
    quality
    D
    maintenance
    A local vector database system that provides LLM coding agents with fast, efficient semantic search capabilities for software projects via the Message Control Protocol.
    7
    MIT

  • MCP MariaDB Server

    Diae-Louali
    A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI assistants to interact with MariaDB databases through standard SQL operations and advanced vector/embedding-based search. Supports database management, schema inspection, and semantic document storage and retrieval with multiple embedding providers.
    MIT

  • mcp-rag-mini

    Pinger1456
    A
    license
    Not graded
    quality
    B
    maintenance
    A minimal RAG service that exposes a vector index for document retrieval via REST and MCP, allowing querying for relevant document chunks and returning a suggested LLM prompt.
    MIT