# mcp-server-tutorial

> mcp-server-tutorial — spinov001-art-mcp-server-tutorial. Use this tool when you need to integrate AI agents with real-time data sources by building a custom MCP server. It solves problems of connecting language models like Claude and GPT to dynamic data, providing a step-by-step tutorial with Python examples as input and a functional MCP server as output. Ideal for use cases requiring real-time data processing and AI model integration.

Canonical page: https://skillsregistry.net/skills/spinov001-art-mcp-server-tutorial  
JSON: https://api.skillsregistry.net/v1/skills/spinov001-art-mcp-server-tutorial

## Description

Build your own MCP server for AI agents. Step-by-step tutorial with Python examples. Connect Claude, GPT, and other LLMs to real-time data.

## Trust

- **Trust score (0–1):** 0.97
- **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/spinov001-art/mcp-server-tutorial)

## 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": "spinov001-art-mcp-server-tutorial"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/spinov001-art-mcp-server-tutorial` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/spinov001-art-mcp-server-tutorial/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