Skip to main content
Glama
77,029 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

"Exploring GraphRAG and HybridRAG" matching MCP servers:

  • A
    license
    Not graded
    quality
    A
    maintenance
    Connects Claude Code to a local GraphRAG knowledge base (LightRAG + Ollama) for private, offline document retrieval. Provides tools to search, add documents, and check the RAG status, enabling Claude to reason over user's own notes, code, and papers without cloud dependencies.
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Connects AI assistants to Tacit building digital twins to query buildings, equipment, sensors, and zones using natural language. It provides tools for exploring Brick-compliant knowledge graphs, fetching historical sensor data, and accessing site documents.
    4
    MIT
  • 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
  • A
    license
    A
    quality
    B
    maintenance
    Zero-trust, air-gapped Enterprise GraphRAG MCP server. Build knowledge graphs from local documents and run multi-hop, citation-grounded queries entirely offline with Ollama.
    5
    313
    MIT
  • F
    license
    A
    quality
    C
    maintenance
    Enables Claude Code to interact with Obsidian vaults by providing tools for multi-term searching, reading notes, and exploring tag-based relationships. It allows users to query, analyze, and manage their personal knowledge base directly through natural language.
    9
  • A
    license
    Not graded
    quality
    B
    maintenance
    MCP server for building and exploring OWL 2 ontologies using AI agents, with tools for axiom management, structural pattern matching, and persistent selections.
    21
    BSD 3-Clause
  • A
    license
    Not graded
    quality
    A
    maintenance
    TheWeave is a markdown-native memory architecture for Claude and any MCP-aware agent. Your agent's memory lives as plain .md files you own: a 5-verb MCP core over the vault, query-driven PageRank retrieval, bi-temporal facts (valid_from / valid_until), and a persona-as-vault model. No database and no embeddings server. The files are the memory, inspectable in your editor and versionable in git.
    2
    Apache 2.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    Provides a comprehensive Model Context Protocol interface for RAGFlow, enabling AI models to perform semantic retrieval, manage datasets, and handle document chunks. It supports advanced features like GraphRAG and RAPTOR for sophisticated knowledge base management and natural language querying.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    MCP server that gives AI agents a continual learning brain with lessons, skills, memories, evidence-based refinement, rollback, and hybrid GraphRAG retrieval.
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    A Model Context Protocol server implementing Graph RAG with local, embedded Knowledge Graph using FAISS for vector search and NetworkX for graph traversal, enabling hybrid retrieval through anchor discovery and relationship expansion.
    2
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    A persistent semantic memory system for LLMs with time-based decay, automatic memory capture, and spatial navigation tools for exploring knowledge graphs.
    1
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Semantic code indexer with GraphRAG knowledge graph. Index your codebase, search in natural language, and expose everything via MCP so AI agents understand architecture — not just files.
    451
    Apache 2.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI agents to access detailed research findings, implementation patterns, and best practices for building graph-enhanced retrieval-augmented generation systems.
    3
    MIT