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    A stateless MCP server that normalizes strength training logs into a deterministic canonical schema, enabling consumers to build analytics downstream without storing data server-side.
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    Gives an AI agent complete knowledge of a specific DevExpress XAF application: its entities, controllers, actions, business rules, Model Editor customizations, custom property editors and the version-gated data migrations that ran once on a production database. Reads the source with Roslyn without compiling it, so it works on a branch that does not build and needs no DevExpress licence.
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    MIT
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    Persistent project context for Google Gemini. 12 MCP tools for .faf Project DNA — auto-detect your stack, validate, score, and sync across CLAUDE.md, GEMINI.md, and AGENTS.md. Python/FastMCP. IANA-registered format (application/vnd.faf+yaml). 183 tests. One file, every AI platform.
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    MCP server for interacting with NI DAQ hardware, supporting analog/digital I/O and waveform acquisition, with safety features and simulation mode.
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    Apache 2.0
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    A Model Context Protocol server that exposes a hospital-oriented web application firewall engine for AI assistants. It enables request inspection against curated security rules and provides tools for rule management and security testing.
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    A Model Context Protocol server that enables AI platforms to invoke RPA (Robotic Process Automation) capabilities from YingDao, allowing automated execution of repetitive tasks through AI interactions.
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    MIT
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    Enables AI assistants to query and analyze Imperva Cloud WAF configurations through natural language, supporting retrieval of sites, domains, policies, and rules.
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    Apache 2.0