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"How to Query a Knowledge Graph Using an Ontology" matching MCP servers:

  • Knowledge Graph MCP Server

    YUChoe
    F
    license
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    quality
    D
    maintenance
    A TypeScript MCP server for managing persistent knowledge graphs with entities, directional relations, and time-based observations. It enables users to create, search, and track structured information with built-in concurrency control and JSON file storage.
    Last updated

  • Universal Ontology MCP

    seonwookim92
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    quality
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    maintenance
    Enables AI assistants to navigate and populate complex ontologies by transforming unstructured data into structured, SHACL-validated knowledge graphs. It features semantic hybrid search and proactive schema guidance to help users build deeply linked, reasoning-ready data.
    Last updated

  • Graph-Memory

    stevepridemore
    A
    license
    A
    quality
    A
    maintenance
    Self-hosted personal knowledge graph for Claude that persists across sessions, devices, and tools. Built on Neo4j with local semantic embeddings; OAuth 2.1 lets Claude Code, Claude Desktop, and claude.ai web all hit the same graph.
    Last updated
    23
    62
    2
    MIT

  • dnomia-knowledge

    ceaksan
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    quality
    B
    maintenance
    Local knowledge engine for codebases with hybrid search, knowledge graph, and interaction tracking, enabling Claude Code to search and interact with project knowledge locally.
    Last updated
    1
    MIT

  • knowledge-mcp

    olafgeibig
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    license
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    quality
    C
    maintenance
    An MCP server that enables AI agents to query specialized, domain-specific knowledge bases built using the LightRAG framework for enhanced retrieval-augmented generation. It allows for managing and searching knowledge graphs and vector embeddings to provide accurate, context-aware information during an AI assistant's reasoning process.
    Last updated
    55
    MIT

  • graph-tool-call

    SonAIengine
    A
    license
    A
    quality
    A
    maintenance
    Graph-based tool retrieval for LLM agents. Builds a tool graph from OpenAPI/MCP specs and retrieves multi-step workflows via hybrid search (BM25 + graph traversal + embedding), recovering accuracy from 12% to 82% with 79% fewer tokens. Also works as an MCP Proxy to aggregate multiple servers behind 3 meta-tools.
    Last updated
    6
    6
    MIT

  • TDZ C64 Knowledge

    MichaelTroelsen
    F
    license
    B
    quality
    A
    maintenance
    An MCP server for indexing and searching Commodore 64 documentation using full-text, semantic, and fuzzy search across multiple file formats. It enables RAG-based question answering, entity extraction, and interactive timeline or knowledge graph visualizations.
    Last updated
    94

  • Knowledge Fabric

    sagarv48
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    quality
    A
    maintenance
    An MCP-native evidence retrieval platform that ingests source material, builds lexical and vector indexes, performs hybrid retrieval, and returns structured evidence packages for AI assistants.
    Last updated
    1
    Apache 2.0

  • agent-knowledge

    yucx-go
    A
    license
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    quality
    A
    maintenance
    Long-term memory for AI agents. Compiles conversations into a structured knowledge base with Claim/Evidence model, source provenance, append-only timeline, and contradiction detection. Multi-path retrieval (Exact + BM25 + Graph + weighted RRF + reranker) — 96.6% R@5 on LongMemEval-S, zero vector dependencies.
    Last updated
    2
    MIT

  • Knowledge Graph Memory Server

    guinacio
    A
    license
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    quality
    C
    maintenance
    A persistent memory system using a local knowledge graph that enables Claude to remember information about users across chats, with advanced search, graph traversal, and filtering capabilities for entities, relations, and observations.
    Last updated
    MIT

  • mem-graph

    GoVanAI
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    quality
    B
    maintenance
    Graph-relational memory MCP server for persistent LLM memory, featuring wikilinks, BM25 auto-linking, spreading activation, and synaptic decay across five memory layers.
    Last updated
    MIT