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qualityA
maintenanceEnables building and querying vector-based knowledge graphs with node and edge management and semantic search.
5
11
MIT
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"An overview of knowledge graphs" matching MCP servers:
- Alicense-qualityCmaintenanceMCP server for querying versioned C2PA specification knowledge graphs, enabling AI agents to browse entity definitions, validation rules, and version diffs via natural language.3Apache 2.0
- Flicense-qualityBmaintenanceEnables fetching Google's AI Overview answers and cited sources as structured JSON, with support for batch queries and country/language targeting.
- FlicenseAqualityDmaintenanceA personal knowledge base MCP server that allows AI assistants to manage notes, tasks, and ideas through tools, resources, and prompts.11
- AlicenseAqualityCmaintenanceAn MCP server that provides LLMs with full read/write access to an Open Knowledge Format (OKF) knowledge bundle, enabling structured, persistent long-term memory.11MIT
- AlicenseAqualityCmaintenanceEnables personal knowledge management through Claude Desktop, allowing users to capture thoughts, connect ideas, and reflect on thinking changes via natural conversation.723MIT
- AlicenseAqualityDmaintenanceScans markdown vaults to identify concepts mentioned but not defined, ranks gaps by priority, and generates research questions or random long-tail topics to fill knowledge gaps.5MIT
- AlicenseAqualityCmaintenanceA forkable RAG project with an MCP server for VS Code/Copilot, enabling indexing and querying of knowledge from URLs, PDFs, or TeX files.4MIT
- AlicenseAqualityCmaintenanceMCP server that bridges Ableton Live with AI models, enabling real-time project inspection and control such as track overview, device parameters, and audio analysis.12MIT
- AlicenseAqualityCmaintenanceLong-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.83MIT
- AlicenseAqualityBmaintenanceVendor-neutral MCP server for knowledge retrieval across repositories, offering stable tools for searching, getting, and listing documents with hybrid lexical and optional semantic search.3MIT
- AlicenseAqualityBmaintenanceMCP server for managing and searching multi-tenant knowledge bases backed by SQLite with FTS5, enabling AI agents to persist and retrieve content via full-text search.131MIT
- AlicenseAqualityDmaintenanceAn MCP to give AI agents extensive knowledge of your personal finances and control of your budgeting.1411MIT
- AlicenseAqualityAmaintenanceDense Knowledge is a small local server for Model Module Protocol (MMP) files. It gives language models a persistent research memory without requiring a database, embeddings, or a hosted service.91MIT
- FlicenseAqualityCmaintenanceA production-grade RAG server with a centralized knowledge base, offering both MCP and REST APIs for semantic search, document ingestion, and RAG-based answers.12
- FlicenseAqualityCmaintenanceEnables 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
- AlicenseAqualityAmaintenanceA local knowledge graph MCP server that provides AI agents with permanent, structured memory about codebases, enabling semantic search, blast radius analysis, and convention enforcement.82MIT
- AlicenseAqualityCmaintenanceExposes a knowledge base to LLM clients through tools, resources, and prompts.2MIT
- AlicenseAqualityDmaintenanceAn MCP server that transforms markdown notes into an AI-powered knowledge graph. It enables LLM clients to explore, analyze, and diagnose knowledge graphs through tools for node explanation, path finding, causal chain analysis, and wiki health reporting.5MIT
- FlicenseAqualityBmaintenanceAn MCP server that acts as a knowledge engine for software projects, delivering relevant context at the start of a task and accumulating knowledge at its end through tools like start_task, context, finish_task, remember, and search, with a file-based source of truth and optional semantic retrieval via Graphiti/Neo4j.5