Skip to main content
Glama
61,039 servers. Last updated

Matching MCP tools:

Matching MCP Connectors:

"Hybrid Memory Models Combining Relational, Graph, and RAG Approaches" matching MCP servers:

  • Hybrid RAG MCP Server

    jiarongli517021911144
    A
    license
    -
    quality
    D
    maintenance
    A modular Retrieval-Augmented Generation (RAG) framework that provides hybrid search and knowledge retrieval capabilities via the Model Context Protocol. It enables users to integrate document-based knowledge into LLM workflows with support for dense/sparse retrieval, reranking, and observability.
    Last updated
    MIT

  • Hybrid RAG Project MCP Server

    gwyer
    A
    license
    -
    quality
    D
    maintenance
    Enables Claude to perform hybrid search across local documents by combining semantic vector retrieval and BM25 keyword matching for optimal context recovery. It supports multiple file formats including PDF, CSV, and Markdown, leveraging local Ollama models for private and efficient document querying.
    Last updated
    4
    MIT

  • Memory-MCP

    wb200
    A
    license
    A
    quality
    D
    maintenance
    Provides persistent memory for AI agents using hybrid search (vector embeddings + BM25) with neural reranking, enabling storage and retrieval of insights, debugging solutions, and patterns across coding sessions.
    Last updated
    8
    MIT

  • rag-mcp

    NextLevelManagementAdvisors
    A
    license
    A
    quality
    C
    maintenance
    Enables ingestion and semantic search over text documents using PostgreSQL + pgvector and OpenAI-compatible embeddings, allowing any LLM agent to retrieve relevant chunks for grounded answers.
    Last updated
    4
    AGPL 3.0

  • MCP RAG

    kalicyh
    F
    license
    A
    quality
    C
    maintenance
    Intelligent knowledge base system that enables users to process documents in 25+ formats, perform semantic search and Q\&A through vector retrieval. Supports multiple AI models including OpenAI and DouBao with local processing capabilities.
    Last updated
    10
    5

  • lean-memory

    Wuesteon
    A
    license
    A
    quality
    A
    maintenance
    Embedded, local-first agent memory: facts extracted into a per-namespace SQLite file (vec0 + FTS5) with hybrid retrieval and point-in-time (time-travel) queries. ADD-only history over stdio — no server process, no cloud dependency.
    Last updated
    16
    3
    47
    Apache 2.0

  • MCP RAG Server

    LuizDoPc
    A
    license
    A
    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
    37
    1
    MIT

  • MCP RAG

    santis84
    A
    license
    B
    quality
    D
    maintenance
    A complete MCP server for Retrieval-Augmented Generation with file management and vector memory for agents. Supports multiple document formats (PDF, DOCX, TXT, MD, CSV, JSON) with semantic search using Hugging Face embeddings and ChromaDB for efficient vector storage.
    Last updated
    11
    7
    1
    MIT

  • Markdown RAG

    ashrobertsdragon
    A
    license
    -
    quality
    D
    maintenance
    A Retrieval Augmented Generation system that enables AI assistants to perform semantic searches and manage document indices for markdown files. It supports PostgreSQL with pgvector and integrates both Google Gemini and Ollama for intelligent embedding generation.
    Last updated
    1
    MIT

  • Modular RAG MCP Server

    sjjjlol
    A
    license
    -
    quality
    D
    maintenance
    A pluggable RAG framework that exposes hybrid search, ingestion, and evaluation tools via the Model Context Protocol, enabling AI assistants like Copilot and Claude to query knowledge bases directly.
    Last updated
    MIT

  • Memory MCP

    Calvin-Francis
    A
    license
    -
    quality
    D
    maintenance
    A Model Context Protocol server that provides AI assistants with persistent semantic memory and knowledge graph capabilities using PostgreSQL and vector embeddings. It enables cross-session storage, hybrid search, and complex relationship tracking for enhanced contextual awareness.
    Last updated
    14
    1
    MIT