Yes, Llm Plugins is free to use.

How do I install Llm Plugins?

Llm Plugins is a remote plugin. You do not need to install anything locally. Add the server URL to your AI app's MCP configuration and you are ready to go.

Is Llm Plugins safe to use?

Yes. Llm Plugins passed MCP Marketplace's automated security scan with a score of 10/10 (low risk). Every server on MCP Marketplace is security-scanned before it's listed; see the full security report on this page for the findings and permissions.

What AI apps work with Llm Plugins?

Llm Plugins uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Llm Plugins MCP Server

by Rush Auto Works

Developer ToolsLow Risk10.0MCP RegistryRemote

Free

Server data from the Official MCP Registry

Analyze AiM RaceStudio lap data: lap times, compare laps, time loss, compare two sessions.

About

Analyze AiM RaceStudio lap data: lap times, compare laps, time loss, compare two sessions.

Remote endpoints: streamable-http: https://laps.mcp.rush.sr/mcp

Security Report

10.0

Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

4 tools verified · Open access · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Found in Source Code

Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.

file_system

Applies to the server that hosts this plugin, not to your machine.

Shell Command Execution

Runs commands on the server that hosts it, not on your machine.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "sr-rush-lap-analyzer": {
      "url": "https://laps.mcp.rush.sr/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

llm-plugins

Remote MCP servers and a Claude plugin for Rush SR owners and anyone who analyzes AiM data. Built by Rush Auto Works.

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, 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 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.

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