# MCP Demo Application

> Use this tool when you need to demonstrate AI capabilities in interacting with external data sources and functions, or to showcase a comprehensive suite of tools for calculations, weather, and note management. It provides an interactive web interface for users to input data and receive outputs, solving problems related to data integration and AI-assisted task management. Ideal for developers and testers seeking to explore AI-assisted applications with diverse functionalities.

Canonical page: https://skillsregistry.net/skills/mic-havock-model-context-protocol  
JSON: https://api.skillsregistry.net/v1/skills/mic-havock-model-context-protocol

## Description

A comprehensive demonstration server that provides tools for calculations, weather, and note management alongside an interactive web interface. It showcases how AI assistants can seamlessly interact with external data sources and functions using the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rlhhdx8ro9)
- **Repository:** <https://github.com/mic-havock/model-context-protocol>

## 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": "mic-havock-model-context-protocol"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mic-havock-model-context-protocol` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mic-havock-model-context-protocol/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