# VibeCoderMCP

> Use this tool when you need to streamline AI-assisted software development through a structured workflow, solving problems of disorganized feature creation and context loss. It takes in requirements and outputs systematic development plans, PRDs, and task management, providing a hybrid storage solution for documents. Ideal for use cases where maintaining context and organization throughout the development lifecycle is crucial.

Canonical page: https://skillsregistry.net/skills/crazyrabbitltc-vibecoder  
JSON: https://api.skillsregistry.net/v1/skills/crazyrabbitltc-vibecoder

## Description

Vibe-Coder MCP Server implements a structured development workflow that guides LLMs through feature creation with a systematic approach. It provides tools for feature clarification through iterative questioning, automatic generation of PRDs and implementation plans based on gathered requirements, and phase-based development tracking with task management. The server stores documents both in-memory and in the file system, offering a hybrid storage solution that makes it particularly valuable for AI-assisted software development where maintaining context and organization throughout the development lifecycle is essential.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/crazyrabbitltc-vibecoder)
- **Repository:** <https://github.com/crazyrabbitltc/mcp-vibecoder>

## 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": "crazyrabbitltc-vibecoder"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/crazyrabbitltc-vibecoder` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/crazyrabbitltc-vibecoder/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