Skip to main content
Glama
79,484 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

"author:6" matching MCP servers:

  • A
    license
    A
    quality
    C
    maintenance
    Connects AI assistants to a persistent memory engine with Neo4j knowledge graph and ProMem extraction, enabling long-term context and associative memory across chats and workspaces.
    6
    7
    MIT
  • A
    license
    Not graded
    quality
    F
    maintenance
    A Model Context Protocol (MCP) server that enables semantic search and retrieval of documentation using a vector database (Qdrant). This server allows you to add documentation from URLs or local files and then search through them using natural language queries.
    24
    135
    Apache 2.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    MCP server for a self-hosted RAG system that enables AI tools to search and retrieve grounded answers from locally ingested documents via MCP tools, with local embeddings and no API key required.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI agents to use a neuro-symbolic memory fabric with bi-temporal knowledge graph and holographic VSA, providing tools for adding, searching, temporal queries, auditing, and proving memories with cryptographic provenance and zero-LLM ingest.
    Apache 2.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    Open-source MCP servers for ESG data extraction, analysis, and regulation management, providing 31 tools across 6 servers for tasks like metrics extraction, PDF processing, vector storage, and web scraping.
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables semantic search through a Pinecone vector database containing economic books and academic papers using natural language queries. Provides 10 specialized search tools with metadata filtering for precise discovery of economic theories, concepts, and research by author, subject, or book.
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables AI assistants to crawl websites, extract and store web content with semantic search capabilities using vector embeddings, and retrieve information through natural language queries with tag-based filtering and intelligent content cleaning.
  • F
    license
    Not graded
    quality
    D
    maintenance
    A fully offline local RAG server that utilizes ChromaDB and Ollama to index and query PDF, text, and Markdown documents. It allows users to manage local knowledge bases and perform semantic searches with AI-generated responses.
  • F
    license
    Not graded
    quality
    C
    maintenance
    Enables semantic search and ingestion of investor content using Upstash Vector and Vercel Blob storage, with optional filtering by author, company, and date.
  • F
    license
    A
    quality
    D
    maintenance
    Enables AI agents to query a local knowledge graph built from document collections using hybrid search (BM25 + vector fusion) and entity-relationship extraction. Supports privacy-first, offline operation with tools for semantic search, entity graph exploration, and corpus statistics.
    3