# mcp-intro

> mcp-intro — hugol4ka-mcp-intro. Use this tool when you need to integrate AI functionality with external systems, enabling the exposure of Python functions as tools and data as resources. It solves problems of interoperability and connectivity by utilizing the stdio transport, allowing for seamless communication between the AI and external systems. Ideal for use cases requiring flexible and modular integration of AI capabilities with other applications and services.

Canonical page: https://skillsregistry.net/skills/hugol4ka-mcp-intro  
JSON: https://api.skillsregistry.net/v1/skills/hugol4ka-mcp-intro

## Description

A demo MCP server that connects an AI to external systems by exposing Python functions as tools and data as resources, using the stdio transport.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mi5lc5rhbd)
- **Repository:** <https://github.com/Hugol4ka/mcp-intro>

## 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": "hugol4ka-mcp-intro"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hugol4ka-mcp-intro` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hugol4ka-mcp-intro/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
