# Go Documentation

> Use this tool when you need to access official Go documentation or understand Go codebases, as it provides AI assistants with efficient querying capabilities through the 'go doc' and 'go list' commands. It solves problems related to navigating and comprehending Go packages, and offers helpful suggestions when issues arise. The tool takes in queries and returns relevant documentation and package listings, making it ideal for use cases involving Go development and code analysis.

Canonical page: https://skillsregistry.net/skills/wricardo-go  
JSON: https://api.skillsregistry.net/v1/skills/wricardo-go

## Description

This Go-based MCP server provides AI assistants with access to Go documentation and package listing capabilities. Developed by Wallace Ricardo, it exposes the 'go doc' and 'go list' commands through MCP, allowing AI systems to efficiently query official Go documentation and understand Go codebases. The server includes caching mechanisms and enhanced error handling to optimize performance and provide helpful suggestions when issues arise.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/wricardo-go)
- **Repository:** <https://github.com/wricardo/go-mcp>

## 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": "wricardo-go"
    }
  }
}
```

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