# Model-Context-Protocol-Workshop

> Model-Context-Protocol-Workshop — sutd-ai-interest-group-model-context-protocol-workshop. Use this tool when you need to integrate AI agents with your notes and collaborate with others in real-time, solving problems of knowledge management and teamwork. It enables you to build a Model Context Protocol (MCP) server in Python, allowing AI agents to read and write Markdown notes, with inputs including notes and design-thinking boards, and outputs including collaborative knowledge bases. Ideal for use cases involving AI-powered note-taking, collaborative design thinking, and knowledge sharing, with git version control.

Canonical page: https://skillsregistry.net/skills/sutd-ai-interest-group-model-context-protocol-workshop  
JSON: https://api.skillsregistry.net/v1/skills/sutd-ai-interest-group-model-context-protocol-workshop

## Description

Hands-on SUTD AI workshop: build your first Model Context Protocol (MCP) server in Python that lets an AI agent (Kiro) read and write your Markdown notes, then plug in third-party MCP servers and a shared design-thinking board.

## Trust

- **Trust score (0–1):** 0.84
- **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/SUTD-AI-Interest-Group/Model-Context-Protocol-Workshop)

## 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": "sutd-ai-interest-group-model-context-protocol-workshop"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sutd-ai-interest-group-model-context-protocol-workshop` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sutd-ai-interest-group-model-context-protocol-workshop/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