# groundcontrol

> groundcontrol — t3e1er-groundcontrol. Use this tool when you need to manage AI coding agents with a robust Model Context Protocol (MCP) server, solving issues of deterministic code generation and semantic search. It takes in git repositories and outputs grounded AST graphs, BM25 rankings, and local ONNX vectors, enabling efficient code analysis and generation. Ideal for use cases requiring precise code understanding and automation, such as AI-powered coding assistants and automated code review tools.

Canonical page: https://skillsregistry.net/skills/t3e1er-groundcontrol  
JSON: https://api.skillsregistry.net/v1/skills/t3e1er-groundcontrol

## Description

The Pure Rust Model Context Protocol (MCP) server for AI coding agents. Grounding swarms in deterministic AST graphs, BM25, and local ONNX vectors.

## Trust

- **Trust score (0–1):** 0.44
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/t3e1er/groundcontrol)

## 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": "t3e1er-groundcontrol"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/t3e1er-groundcontrol` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/t3e1er-groundcontrol/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