# mcp-anthropic-course

> mcp-anthropic-course — kelvinleandro-mcp-anthropic-course. Use this tool when you need to develop rich-context AI applications with a focus on human-centered design. It provides Jupyter notebooks from the DeepLearning.AI course, helping solve problems in building intelligent apps that understand human needs and behaviors. The tool accepts git inputs and offers practical coding exercises as output, ideal for use in AI development and machine learning contexts.

Canonical page: https://skillsregistry.net/skills/kelvinleandro-mcp-anthropic-course  
JSON: https://api.skillsregistry.net/v1/skills/kelvinleandro-mcp-anthropic-course

## Description

Jupyter notebooks from the DeepLearning.AI course “MCP: Build Rich-Context AI Apps with Anthropic.”

## Trust

- **Trust score (0–1):** 0.82
- **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/kelvinleandro/mcp-anthropic-course)

## 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": "kelvinleandro-mcp-anthropic-course"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kelvinleandro-mcp-anthropic-course` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kelvinleandro-mcp-anthropic-course/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