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  • Plesk Extensions Guide MCP

    barateza
    A
    license
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    quality
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    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.
    Last updated

  • Tiny Chat

    to-aoki
    A
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    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.
    Last updated
    2
    MIT

  • mem-context

    turbyho
    A
    license
    A
    quality
    A
    maintenance
    Multi-modal RAG engine for AI assistants. Stores conversation history, conclusions, diffs, error traces, and other development artifacts in LanceDB with vector search, multi-factor scoring, and an LLM-driven consolidation pipeline.
    Last updated
    10
    MIT
  • MCP MariaDB Server by MariaDB

    MCP MariaDB Serverofficial

    MariaDB
    A
    license
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    quality
    F
    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.
    Last updated
    180
    MIT

  • TurboQuant Tools

    FreezeVII
    A
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    quality
    C
    maintenance
    MCP server for compressing AI embeddings by 5-7x using TurboQuant (PolarQuant + QJL), with tools to compress, decompress, estimate savings, and embed+compress vectors.
    Last updated
    MIT

  • MCP MariaDB Server

    Diae-Louali
    A
    license
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    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.
    Last updated
    MIT

  • Chroma MCP Server

    djm81
    A
    license
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    quality
    D
    maintenance
    A Model Context Protocol server integration that creates a persistent, searchable working memory for AI-assisted development by enabling automated context recall and knowledge persistence in Chroma, the open-source embedding database.
    Last updated
    26
    MIT

  • Elasticsearch MCP Server

    gpremo-re
    A
    license
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    quality
    D
    maintenance
    An MCP server that enables AI assistants to directly interact with Elasticsearch for searching, aggregating, and retrieving documents from indices, supporting full-text search, semantic search, and various query modes.
    Last updated
    7
    MIT

  • ragtag-mcp

    weston-barger
    A
    license
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    quality
    D
    maintenance
    A local RAG MCP server that enables AI tools like Claude to search indexed codebases and documentation using vector search with Ollama models.
    Last updated
    Apache 2.0

  • zvec-mcp

    cluster2600
    A
    license
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    quality
    C
    maintenance
    Enables AI agents to store, search, and manage a local vector database for RAG knowledge retrieval and long-term memory, powered by zvec.
    Last updated
    1
    Apache 2.0

  • Chroma MCP Server

    zwczwczwc
    A
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    quality
    C
    maintenance
    A Model Context Protocol server for Chroma, enabling AI models to create collections and retrieve data using vector search, full text search, and metadata filtering.
    Last updated
    Apache 2.0

  • mcp-qdrant-embedding-search

    plixplox
    A
    license
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    quality
    D
    maintenance
    MCP server that searches documents in Qdrant using embeddings from LMStudio. Takes a text query, converts it to a vector via LMStudio's OpenAI-compatible API, and performs semantic search in Qdrant.
    Last updated
    4
    ISC

  • docs-mcp

    Shreyas-Profile
    A
    license
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    quality
    B
    maintenance
    Upload Word, Excel, PDF, or PowerPoint documents to a vector RAG store with vision-model extraction, then search semantically and retrieve chunks with page numbers for precise citations.
    Last updated
    MIT