# mcp-agent-sample

> mcp-agent-sample — tolgacakir-mcp-agent-sample. Use this tool when you need to develop and deploy AI agents using Python, interacting with MCP servers to solve problems related to automation and data processing. It provides a sample implementation for building custom AI agents, accepting input from git repositories and outputting executable agent code. Ideal for use cases requiring automated task execution and data exchange with MCP servers.

Canonical page: https://skillsregistry.net/skills/tolgacakir-mcp-agent-sample  
JSON: https://api.skillsregistry.net/v1/skills/tolgacakir-mcp-agent-sample

## Description

AI Agent with MCP Server Using Python

## Trust

- **Trust score (0–1):** 1.00
- **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/tolgacakir/mcp-agent-sample)

## 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": "tolgacakir-mcp-agent-sample"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tolgacakir-mcp-agent-sample` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tolgacakir-mcp-agent-sample/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