# GH-600 MCP Server Lab

> GH-600 MCP Server Lab — kishan-learningai-remote-certy-gh600-mcp-server-lab. Use this tool when you need to simulate a GH-600 MCP server environment for learning and testing purposes, solving problems related to domain 2.0 functionality and tool integration. It provides example tools and resources with deterministic in-memory data, accepting input requests and returning relevant information. Ideal for use cases requiring a controlled setup to explore GH-600 domain 2.0 capabilities.

Canonical page: https://skillsregistry.net/skills/kishan-learningai-remote-certy-gh600-mcp-server-lab  
JSON: https://api.skillsregistry.net/v1/skills/kishan-learningai-remote-certy-gh600-mcp-server-lab

## Description

A runnable MCP server for learning GH-600 domain 2.0, providing four example tools (repo info, issues, summaries, safe file read) and a resource, using deterministic in-memory data.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rlqdp79i6b)
- **Repository:** <https://github.com/kishan-learningai/remote-certy-gh600-mcp-server-lab>

## 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": "kishan-learningai-remote-certy-gh600-mcp-server-lab"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kishan-learningai-remote-certy-gh600-mcp-server-lab` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kishan-learningai-remote-certy-gh600-mcp-server-lab/pull`

---
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