# mcp-demo

> Use this tool when you need to demonstrate minimal MCP server functionality for calculations, time queries, note management, and code review prompts. It solves problems related to basic server operations, data management, and code analysis by providing a simple example of Tools, Resources, and Prompts. It accepts text inputs via stdio transport and returns corresponding outputs, making it suitable for testing and development contexts.

Canonical page: https://skillsregistry.net/skills/amazing129-mcp-demo  
JSON: https://api.skillsregistry.net/v1/skills/amazing129-mcp-demo

## Description

A minimal MCP server example demonstrating Tools, Resources, and Prompts. It enables calculations, time queries, note management, and code review prompts via stdio transport.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zyvz6id5dp)
- **Repository:** <https://github.com/AmAzing129/mcp-demo>

## 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": "amazing129-mcp-demo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/amazing129-mcp-demo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/amazing129-mcp-demo/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