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    Read-only MCP server for the July 2026 survey of AI in open-source design systems, enabling agents to query 19 systems' affordances, coercion techniques, and platform data via 9 tools, 2 resources, and 2 prompts.
    2
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    A
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    Reference implementation of the Operational Ontology pattern: MCP tools are generated from a typed business domain model (objects, links, actions) — one tool per query shape and per action, deliberately no raw SQL tool. Writes pass business-rule preconditions, are audited, and write back to the systems of record; refusals are machine-readable. Ships with a demo orders ontology spanning two legacy
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    MIT
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    Enables AI agents to inspect ontology schemas, search typed objects, and execute read-only SPARQL queries against an RDF triple store.
    MIT
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    An MCP server that generates standalone SVG architecture diagrams from text descriptions, running entirely on your machine with no dependencies or network access.
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    Provides architecture design expertise to AI coding agents, analyzing requirements, selecting architecture patterns, generating concrete designs, and evaluating quality attributes.
    MIT
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    MCP server that integrates multiple AI image generation providers (WaveSpeed, Nano Banana, OpenAI, Stability, fal.ai) to automate photoshoot tasks like product photography, fashion content, and batch editing.
    6
    MIT
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    Local-first memory server that stores notes, contacts, and future data as a unified entity graph, providing hybrid retrieval (vector + keyword) for AI assistants via MCP.
    MIT
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    Provides offline access to the Brick Schema ontology, enabling validation and search of building metadata classes through MCP tools.
    1
    MIT
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    An MCP server that captures and stores user decisions during AI-agent interactions, offering structured decision memory, cognitive bias detection, and personalized advice from historical patterns.
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    An MCP server that uses an OWL/SHACL/SKOS knowledge graph to interpret login-diagnosis prompts and return JSON-LD descriptors, guiding Copilot agents to the appropriate SQL Server and MongoDB queries and enabling New Relic escalation when needed.
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    Enables LLM agents to retrieve structured diagnosis plans for login issues from an OWL/SHACL/SKOS knowledge graph, returning required entities, validation sequences, and New Relic escalation details.
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    Provides MCP tools to search, retrieve, and answer questions from the public Open Finance Brasil Confluence documentation using BM25-based local indexing.
    4
    MIT
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    A semantic ontology layer for Pendo that enables users to define and manage business concepts, entity relationships, and measurement hints, grounding LLM queries in workspace-specific definitions.
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