# mcp-toy

> Use this tool when you need to explore and demonstrate Model Context Protocol (MCP) capabilities in a controlled environment. It provides a toy MCP server for testing resources, tools, and prompts, helping to solve problems related to model integration and context management. Ideal for development, testing, and educational use cases, it accepts MCP-compatible inputs and outputs protocol-compliant responses.

Canonical page: https://skillsregistry.net/skills/xiangshiyin-mcp-toy  
JSON: https://api.skillsregistry.net/v1/skills/xiangshiyin-mcp-toy

## Description

A toy MCP server for exploring Model Context Protocol capabilities, including resources, tools, and prompts.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n193wwvugt)
- **Repository:** <https://github.com/xiangshiyin/mcp-toy>

## 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": "xiangshiyin-mcp-toy"
    }
  }
}
```

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