# mcps-playground

> mcps-playground — bighadj22-mcps-playground. Use this tool when you need to experiment with Anthropic's Claude and Model Context Protocol, or test chat and server connections. It provides an interactive environment to try out various tools and protocols, accepting user input and code through a git interface. Ideal for developers and researchers looking to innovate with AI models and context protocols.

Canonical page: https://skillsregistry.net/skills/bighadj22-mcps-playground  
JSON: https://api.skillsregistry.net/v1/skills/bighadj22-mcps-playground

## Description

MCP Playground: Experiment with Anthropic's Claude & Model Context Protocol. Chat, connect servers, test tools.

## Trust

- **Trust score (0–1):** 1.00
- **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/bighadj22/mcps-playground)

## 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": "bighadj22-mcps-playground"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bighadj22-mcps-playground` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bighadj22-mcps-playground/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