# go-mcp-server

> go-mcp-server — xieyuschen-go-mcp-server. Use this tool when you need to enhance the understanding of Go language projects by large language models (LLMs) through the Model Context Protocol (MCP) implementation. It solves the problem of limited context understanding in LLMs by providing a standardized protocol for exchanging project information, accepting Git repositories as input and generating contextualized project understanding as output. Ideal for use cases where LLMs need to comprehend complex Go projects, such as code analysis or automated coding assistance.

Canonical page: https://skillsregistry.net/skills/xieyuschen-go-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/xieyuschen-go-mcp-server

## Description

Model Context Protocol (MCP) implementation for llm to better understand go language written projects.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/xieyuschen/go-mcp-server)

## 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": "xieyuschen-go-mcp-server"
    }
  }
}
```

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