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"using-the-internet-for-searches" matching MCP servers:

  • Neo4j GraphRAG MCP Server

    neo4j-field
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    license
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    quality
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    maintenance
    An MCP server that enables LLMs to perform semantic and fulltext searches within Neo4j while executing complex, search-augmented Cypher queries for GraphRAG applications. It provides tools for database schema discovery and supports multi-provider embeddings to facilitate advanced graph traversals.
    Last updated
    5
    2
    MIT

  • Zotero Chunk RAG

    ccam80
    A
    license
    A
    quality
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    maintenance
    Enables passage-level semantic search over a Zotero library by extracting, chunking, and embedding PDF text using Gemini and ChromaDB. It provides MCP tools to perform topical searches and retrieve specific document passages with surrounding context.
    Last updated
    4
    9
    MIT

  • MCP RAG Server

    LuizDoPc
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    quality
    D
    maintenance
    Provides local Retrieval-Augmented Generation (RAG) capabilities using Ollama for embeddings and ChromaDB for vector storage. It enables users to ingest and perform semantic searches across PDF, Markdown, and TXT documents within MCP-compatible clients.
    Last updated
    4
    34
    1
    MIT
  • Baidu Vector Database MCP Server by baidu

    Baidu Vector Database MCPofficial

    baidu
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    license
    B
    quality
    D
    maintenance
    A server that provides access to Baidu Cloud Vector Database functionality through the Model Context Protocol, enabling LLM applications to perform vector searches and database operations via natural language.
    Last updated
    14
    3
    Apache 2.0

  • MindsDB MySQL MCP Server

    nikhgupta
    F
    license
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    quality
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    maintenance
    Connects AI clients to MindsDB via the MySQL protocol to execute SQL queries, manage databases, and perform semantic searches within knowledge bases. It enables automated workflows through job scheduling and provides seamless integration with external data sources.
    Last updated
    11

  • MCP Tooling Lab

    kaypon
    F
    license
    B
    quality
    D
    maintenance
    A 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 updated
    3

  • Better Qdrant MCP Server

    wrediam
    A
    license
    B
    quality
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    maintenance
    A Model Context Protocol server that enables semantic search capabilities by providing tools to manage Qdrant vector database collections, process and embed documents using various embedding services, and perform semantic searches across vector embeddings.
    Last updated
    4
    122
    4
    MIT
  • @manasdb/mcp-server by manasdb

    @manasdb/mcp-serverofficial

    manasdb
    A
    license
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    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.
    Last updated
    33
    MIT
  • Lindorm MCP Server by aliyun

    Lindorm MCP Serverofficial

    aliyun
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    license
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    quality
    C
    maintenance
    An example server that enables interaction with Alibaba Cloud's Lindorm multi-model NoSQL database, allowing applications to perform vector searches, full-text searches, and SQL operations through a unified interface.
    Last updated
    3
    Apache 2.0
  • tigergraph-mcp by tigergraph

    tigergraph-mcpofficial

    tigergraph
    A
    license
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    quality
    B
    maintenance
    Model Context Protocol (MCP) server for TigerGraph that lets AI agents interact with TigerGraph through the MCP standard using pyTigerGraph's async APIs.
    Last updated
    3
    Apache 2.0
  • KDB.AI MCP Server by KxSystems

    KDB.AI MCP Serverofficial

    KxSystems
    A
    license
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    quality
    C
    maintenance
    Enables interaction with KDB.AI through natural language for vector database operations, similarity searches, hybrid search, and advanced data analysis.
    Last updated
    1
    Apache 2.0

  • TurboQuant Tools

    FreezeVII
    A
    license
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    quality
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    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

  • Annal

    heyhayes
    A
    license
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    quality
    C
    maintenance
    Semantic memory server for AI agent teams. Stores, searches, and retrieves knowledge across sessions using pluggable vector backends with local ONNX embeddings, exposed as an MCP server.
    Last updated
    MIT

  • Tea Rags MCP

    artk0de
    A
    license
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    quality
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    maintenance
    A high-performance MCP server for semantic search and codebase indexing using the Qdrant vector database. It features optimized embedding pipelines, AST-aware chunking, and git metadata enrichment for fast, privacy-focused local or remote search.
    Last updated
    302
    10
    MIT

  • MCP Memory

    tdyfy9
    A
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    quality
    C
    maintenance
    MCP Memory is a MCP Server that gives clients like Cursor and Claude the ability to remember user preferences and behaviors across conversations using vector search.
    Last updated
    19
    MIT

  • RAG-MCP

    Luxter77
    A
    license
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    quality
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    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.
    Last updated
    2
    Apache 2.0