# mcp-server-101

> mcp-server-101 — arkarmin-gg-mcp-server-101. Use this tool when you need to examine and learn how Model Control Protocols (MCP) work, and integrate with Local Large Language Models (LLM) using Python SDK and Ollama. It solves problems related to understanding and implementing MCP in AI applications, providing a hands-on learning experience. Ideal for use cases involving AI model development, testing, and deployment, with inputs including Python code and LLM configurations, and outputs such as MCP implementation insights and optimized model performance.

Canonical page: https://skillsregistry.net/skills/arkarmin-gg-mcp-server-101  
JSON: https://api.skillsregistry.net/v1/skills/arkarmin-gg-mcp-server-101

## Description

Examine and learn how MCP work by using Python SDK and Local LLM with Ollama

## 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/arkarmin-gg/mcp-server-101)

## 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": "arkarmin-gg-mcp-server-101"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/arkarmin-gg-mcp-server-101` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/arkarmin-gg-mcp-server-101/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