# mcp-for-beginners

> mcp-for-beginners — 0x-crisbanks-mcp-for-beginners. Use this tool when you need to learn the fundamentals of Model Context Protocol (MCP) for building modular, scalable, and secure AI workflows. It provides real-world examples in multiple programming languages, including .NET, Java, TypeScript, JavaScript, Rust, and Python, to help developers master practical techniques from session setup to service orchestration. Ideal for developers seeking to improve their AI workflow development skills, it offers a comprehensive and open-source curriculum.

Canonical page: https://skillsregistry.net/skills/0x-crisbanks-mcp-for-beginners  
JSON: https://api.skillsregistry.net/v1/skills/0x-crisbanks-mcp-for-beginners

## Description

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/0x-Crisbanks/mcp-for-beginners)

## 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": "0x-crisbanks-mcp-for-beginners"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/0x-crisbanks-mcp-for-beginners` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/0x-crisbanks-mcp-for-beginners/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