# mcp_agent_framework

> mcp_agent_framework — vinaydyamaklar-mcp-agent-framework. Use this tool when you need to build and deploy AI agents from scratch, and want a comprehensive guide to navigate the process. The mcp_agent_framework solves problems of AI agent development for Python developers without prior experience, providing a structured approach to create production-ready agents. It takes in Python code and outputs a fully functional AI agent, ideal for use cases where automated decision-making and task execution are required.

Canonical page: https://skillsregistry.net/skills/vinaydyamaklar-mcp-agent-framework  
JSON: https://api.skillsregistry.net/v1/skills/vinaydyamaklar-mcp-agent-framework

## Description

A complete guide - from zero to hero production AI agents Written for Python developers who have never built an AI agent before.

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **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/vinaydyamaklar/mcp_agent_framework)

## 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": "vinaydyamaklar-mcp-agent-framework"
    }
  }
}
```

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