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    A FastMCP-based MCP server for the R2R API, enabling integration with document management, knowledge graphs, and RAG systems through automatically generated tools and resources.
    MIT
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    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
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    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
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    A persistent semantic memory system for LLMs with time-based decay, automatic memory capture, and spatial navigation tools for exploring knowledge graphs.
    25
    1
    MIT
  • A
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    MCP server for building and exploring OWL 2 ontologies using AI agents, with tools for axiom management, structural pattern matching, and persistent selections.
    23
    BSD 3-Clause
  • A
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    maintenance
    An artifact manager MCP server for system specifications, providing tools and resources to create, read, update, list, validate, and manage MADR 4.0.0-derived Architecture Decision Records (ADRs) stored as markdown files.
    532 PyPI
    1
    AGPL 3.0
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    Jane is an MCP server that transforms team documentation and project specifications into a searchable, SQLite-powered knowledge base for AI assistants. It enables users to index, search, and manage standard library documentation and technical requirements through full-text search and structured document retrieval.
    6 npm
    3
    MIT
  • A
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    Enables AI agents to read, write, and maintain documentation through an MCP server, providing tools for asking questions, generating docs, checking drift, and exploring knowledge graph.
    15 npm
    MIT
  • F
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    A TypeScript MCP server for executing Cypher queries and exploring Neo4j graph databases, enabling natural language database interaction through Claude.
    -
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    Provides a unified context layer for LLMs by storing and retrieving repo-specific and cross-repo patterns via MCP tools, enabling instant context without re-exploring.
    -
  • A
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    quality
    B
    maintenance
    Enables passive reconstruction of an application's HTTP endpoints, WebSocket/event surfaces, payload schemas, and process architecture purely by observing labeled traffic, logs, and process metadata — never by sending requests to the target. Findings carry evidence levels and confidence, and can be exported as OpenAPI, AsyncAPI, JSON Schema, protocol catalogs, architecture maps, and candidate MCP capability surfaces.
    MIT