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    Deterministic SNAP eligibility logic, exposed as auditable Model Context Protocol tools. An AI agent can read, reason, and orchestrate, but the eligibility determination itself is made by versioned, tested, cited code that a caseworker, an auditor, or a court can inspect.
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    A production-ready template for building Model Context Protocol servers in TypeScript. It provides an example tool, resource, and prompt with a clean separation of transport, registration, and domain logic.
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    130 npm
    MIT
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    Enables AI coding agents to fetch live MDN Web Docs pages, TypeScript handbook content, and npm package metadata as clean markdown, with local search, caching, and polite throttling.
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    MIT
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    An MCP server that connects to Z-Wave JS UI's WebSocket to expose controller, node, and configuration information as tools for AI assistants to manage Z-Wave networks.
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    18 PyPI
    MIT
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    Enables AI assistants to control Sonos audio devices over a local network using UPnP/SOAP protocols, supporting playback, volume, queue management, zone grouping, and music library browsing.
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    44 npm
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    MIT
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    Local deterministic BM25 memory for AI agents — offline-first, no API key, SHA-256 content-addressed shards, stdio MCP transport. Same query always returns the same ranked result.
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    17 npm
    MIT
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    Enables AI clients to drive a UI-testing toolbox with 35 tools, including a headless Playwright runner, live Chromium browser with screenshots, test management, and read-only database queries, all through the Model Context Protocol.
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    4 npm
    MIT
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    Connects AI assistants to the Node-RED Admin API, enabling flow inspection, node management, graph analysis, debug capture, and rollback operations through natural language.
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    15 npm
    MIT
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    Huckleberry MCP server for Claude, Cursor, and other AI assistants. Query and log baby sleep, feeds, diapers, growth, pumping, and solids.
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    Cortex is a Claude Code plugin that gives Claude persistent memory across sessions. A background miner extracts durable lessons (decisions, conventions, bug fixes, preferences) from your completed sessions, stores them as markdown in an Obsidian vault, and automatically surfaces relevant ones at the start of each new session via a query-tailored briefing.
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    32
    MIT