# mcp-golang-server

> Use this tool when you need to analyze, test, or format Go code, and want to leverage the capabilities of Large Language Models (LLMs) to improve code quality and development efficiency. It provides Go language tools that take in Go code as input and output analyzed, tested, or formatted code. Ideal for use cases such as code review, debugging, and optimization, where LLM-driven insights can enhance the development process.

Canonical page: https://skillsregistry.net/skills/rethunk-ai-rethunk-mcp-go  
JSON: https://api.skillsregistry.net/v1/skills/rethunk-ai-rethunk-mcp-go

## Description

Provides Go language tools for LLMs to analyze, test, and format Go code.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r9ti6krnv0)
- **Repository:** <https://github.com/Rethunk-AI/rethunk-mcp-go>

## 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": "rethunk-ai-rethunk-mcp-go"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rethunk-ai-rethunk-mcp-go` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rethunk-ai-rethunk-mcp-go/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