# smithery-hello

> Use this tool when you need to demonstrate and experiment with Model Context Protocol (MCP) features, integrate with Large Language Models (LLMs), or test and develop MCP-based applications. It provides a basic MCP server implementation with simple tools and resources, facilitating understanding and development of MCP-enabled projects. Ideal for testing and development purposes, it accepts git inputs and outputs demo implementations and testing resources.

Canonical page: https://skillsregistry.net/skills/huangtan007-smithery-hello  
JSON: https://api.skillsregistry.net/v1/skills/huangtan007-smithery-hello

## Description

Provide a demo implementation of an MCP server showcasing basic MCP features. Enable integration with LLMs by exposing simple tools and resources for testing and development purposes. Facilitate understanding and experimentation with the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-08-24

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/huangtan007/smithery-hello)

## 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": "huangtan007-smithery-hello"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/huangtan007-smithery-hello` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/huangtan007-smithery-hello/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