Remote MCP servers and a Claude plugin for Rush SR maintenance and AiM lap analysis (RaceStudio CSV, .xrk). Works in Claude and ChatGPT.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
git clone https://github.com/Rush-Auto-Works/llm-plugins{
"mcpServers": {
"llm-plugins": {
"command": "node",
"args": ["/path/to/llm-plugins/dist/index.js"]
}
}
}MCP Servers overview
# llm-plugins Remote MCP servers and a Claude plugin for Rush SR owners and anyone who analyzes AiM data. Built by [Rush Auto Works](https://rushautoworks.com). They work in Claude and in ChatGPT: ask a question about your Rush SR, or give it an AiM RaceStudio lap export or an `.xrk` log and ask who was faster and where. | Piece | What it does | Where | |---|---|---| | Rush SR maintenance server | Diagnoses a symptom, looks up a service interval, finds the steps for a procedure, all from the public [owner's manual](https://manual.rush.sr), with deep links | `servers/maintenance`, `https://maintenance.mcp.rush.sr/mcp` | | Rush SR lap server | AiM RaceStudio CSV analysis: lap times, best and theoretical best lap, compare two laps, where a lap loses time, compare two sessions or two drivers | `servers/laps`, `https://laps.mcp.rush.sr/mcp` | | Rush SR plugin for Claude | Both servers plus a skill that reads AiM `.xrk` logs and full-size CSVs in Claude's sandbox | `plugin/` | | US road courses | 93 road-racing venues with street address, coordinates and whether each is still running; the same list the dealer CRM uses for "Nearest tracks" | `data/us-road-courses.csv` | ## Use it Add either URL as a custom connector in Claude (Customize, Connectors) or in ChatGPT developer mode (Settings, Security and login, Developer mode, then ChatGPT Plugins). No sign-in is needed. For `.xrk` files in Claude, zip the `plugin/` folder and upload it under Customize, Plugins, Add, Upload plugin. Attach an `.xrk` file and ask "analyze my laps". The skill converts it with [libxrk](https://pypi.org/project/libxrk/) and runs the same analysis engine as the lap server. ``` AiM .xrk ─▶ convert.py (libxrk) ─▶ RaceStudio-style CSV ─▶ engine.mjs (node) ─▶ lap analysis ``` ## What it does with your data The servers analyze a CSV in memory and store nothing. They are retrieval and arithmetic only and make no calls to a language model. The plugin README lists everything the skill runs and sends. ## Develop Each server is its own package. ``` cd servers/laps # or servers/maintenance npm ci npm run typecheck npm test # boots wrangler dev and runs the E2E suite npm run build:skill # laps only: regenerates plugin/skills/rush-sr-laps/scripts/engine.mjs ``` The converter tests need `numpy` and run with `python3 -m unittest discover -s tests`. CI fails if `engine.mjs` drifts from the source. Design notes are in `docs/`: platform findings, and a plan with a failure matrix for each server and for the skill. ## License MIT, see `plugin/LICENSE` and `LICENSE`.
What people ask about llm-plugins
What is Rush-Auto-Works/llm-plugins?
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Rush-Auto-Works/llm-plugins is mcp servers for the Claude AI ecosystem. Remote MCP servers and a Claude plugin for Rush SR maintenance and AiM lap analysis (RaceStudio CSV, .xrk). Works in Claude and ChatGPT. It has 0 GitHub stars and its last recorded update is dated 2026-10-01.
How do I install llm-plugins?
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You can install llm-plugins by cloning the repository (https://github.com/Rush-Auto-Works/llm-plugins) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is Rush-Auto-Works/llm-plugins safe to use?
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Our security agent has analyzed Rush-Auto-Works/llm-plugins and assigned a Trust Score of 95/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains Rush-Auto-Works/llm-plugins?
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Rush-Auto-Works/llm-plugins is maintained by Rush-Auto-Works. The last recorded GitHub activity is dated 2026-10-01, with 4 open issues.
Are there alternatives to llm-plugins?
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Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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