# mcp_lab

> mcp_lab — pilarcode-mcp-lab. Use this tool when you need to learn about Model Context Protocol (MCP) and its applications, solving problems related to model management and context understanding. It provides a learning environment with access to git repositories, allowing users to explore and interact with MCP-related projects. Ideal for use cases involving model development, deployment, and maintenance, where understanding MCP is crucial for effective model context management.

Canonical page: https://skillsregistry.net/skills/pilarcode-mcp-lab  
JSON: https://api.skillsregistry.net/v1/skills/pilarcode-mcp-lab

## Description

👩‍💻 Learning about Mcp (model context protocol)

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/pilarcode/mcp_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": "pilarcode-mcp-lab"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pilarcode-mcp-lab` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pilarcode-mcp-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