# ftc-mcp

> Use this tool when you need to generate competition-ready Java robot code through natural language, and want to ensure accuracy and adherence to FTC documentation and guidelines. It solves the problem of writing correct and reliable robot code by injecting verified documentation and code examples into AI assistants. The tool takes natural language inputs and produces correct Java code outputs, making it ideal for FTC teams looking to streamline their coding process.

Canonical page: https://skillsregistry.net/skills/jackulau-ftcmcp  
JSON: https://api.skillsregistry.net/v1/skills/jackulau-ftcmcp

## Description

MCP server that injects verified FTC documentation and code examples into AI assistants, enabling teams to write correct, competition-ready Java robot code through natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qlg73ohaby)
- **Repository:** <https://github.com/jackulau/ftcMCP>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jackulau-ftcmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jackulau-ftcmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jackulau-ftcmcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt