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"How to find people on LinkedIn by their name" matching MCP servers:

  • 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

  • MCP Memory Server

    leog25
    A
    license
    Not graded
    quality
    D
    maintenance
    Enables personal memory management through tools to find people, get profiles, remember notes, and perform semantic search, integrated with Claude via SSE.
    358
    MIT
  • Tribal by tribal-memory

    Tribalofficial

    tribal-memory
    F
    license
    A
    quality
    A
    maintenance
    Semantic 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.
    10
    9

  • semantic-code-mcp

    vrppaul
    F
    license
    A
    quality
    C
    maintenance
    A local MCP server that provides semantic code search for Python codebases using tree-sitter for chunking and LanceDB for vector storage. It enables natural language queries to find relevant code snippets based on meaning rather than just text matching.
    3
    3

  • Vectorize MCP Server

    dannwaneri
    A
    license
    A
    quality
    D
    maintenance
    Provides 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.
    2
    MIT

  • @rosalinddb/mcp

    rosalinddb
    A
    license
    A
    quality
    A
    maintenance
    Model Context Protocol server for RosalindDB, enabling AI clients to create datasets, ingest vectors, run similarity queries, and check usage on a cost-optimized vector search database.
    11
    16
    Apache 2.0
  • Zilliz MCP Server by zilliztech

    Zilliz MCP Serverofficial

    zilliztech
    A
    license
    A
    quality
    D
    maintenance
    Enables AI agents to interact with Milvus vector databases and Zilliz Cloud through natural language, allowing users to create clusters, manage collections, insert vector data, and perform semantic searches directly from their AI assistants.
    16
    34
    Apache 2.0

  • Engram

    staticroostermedia-arch
    A
    license
    A
    quality
    A
    maintenance
    Headless geometric memory engine for AI agents — no Vector DB, no cloud, no API key. Store and retrieve by meaning using native Vector Symbolic Architecture (NVSA) math over O_DIRECT NVMe mapping. Runs entirely on your machine via MCP.
    87
    17
    AGPL 3.0

  • MCP Router

    Maverick-LjXuan
    F
    license
    B
    quality
    D
    maintenance
    A 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.
    3

  • mcp-ragdocs

    hannesrudolph
    A
    license
    Not graded
    quality
    D
    maintenance
    An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context
    21
    265
    MIT
  • @vectros-ai/mcp-server by vectros-ai

    @vectros-ai/mcp-serverofficial

    vectros-ai
    A
    license
    Not graded
    quality
    A
    maintenance
    MCP server for Vectros, a typed multi-tenant record store with hybrid search and citation-grounded RAG, enabling agents to query, search, and ask questions over their own indexed data.
    345
    1
    Apache 2.0

  • TurboQuant Tools

    FreezeVII
    A
    license
    Not graded
    quality
    A
    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.
    MIT

  • MCP Memory

    jonaheaton
    A
    license
    Not graded
    quality
    C
    maintenance
    Enables MCP clients to remember user information, preferences, and behaviors across conversations using vector search technology. Built on Cloudflare infrastructure with persistent storage and semantic similarity matching.
    11
    MIT