MCP ExplorerExplorer

Mcp Vibecoder

@crazyrabbitLTCon a year ago
12 MIT
FreeCommunity
AI Systems
A MCP server to help with Vibecoding

Overview

What is Mcp Vibecoder

mcp-vibecoder is a Model Context Protocol server designed to facilitate a structured development workflow for LLM-based coding, ensuring organized, clean, and safe feature building.

Use cases

Use cases for mcp-vibecoder include managing feature development in software projects, generating documentation for product requirements, tracking progress in development phases, and ensuring organized collaboration among development teams.

How to use

To use mcp-vibecoder, initiate the feature clarification process with the start_feature_clarification tool, answer guided questions using provide_clarification, and generate necessary documents like PRDs and implementation plans with generate_prd. You can also manage development phases and tasks through specific commands.

Key features

Key features of mcp-vibecoder include structured feature clarification, PRD and implementation plan generation, phased development with task tracking, progress tracking, status reporting, and a hybrid document storage system for easy document management.

Where to use

mcp-vibecoder can be utilized in software development projects, particularly those involving large language models (LLMs) where structured coding practices are essential for efficiency and clarity.

Content

Vibe-Coder MCP Server

A Model Context Protocol server that implements a structured development workflow for LLM-based coding.

Overview

This MCP server helps LLMs build features in an organized, clean, and safe manner by providing:

  • A structured feature clarification process with guided questions
  • PRD and implementation plan generation
  • Phased development with task tracking
  • Progress tracking and status reporting
  • Document storage and retrieval capabilities

Features

Resources

  • Feature details, PRDs, and implementation plans
  • Progress reports and status tracking
  • Phase and task details

Tools

  • start_feature_clarification - Begin the feature clarification process
  • provide_clarification - Answer clarification questions about a feature
  • generate_prd - Generate a Product Requirements Document and implementation plan
  • create_phase - Create a development phase for a feature
  • add_task - Add tasks to a development phase
  • update_phase_status - Update the status of a phase
  • update_task_status - Update the completion status of a task
  • get_next_phase_action - Get guidance on what to do next
  • get_document_path - Get the path of a generated document
  • save_document - Save a document to a specific location

Prompts

  • feature-planning - A prompt template for planning feature development

Document Storage

The server includes a hybrid document storage system that:

  1. Automatically saves generated documents (PRDs, implementation plans) to files
  2. Maintains an in-memory copy for quick access
  3. Allows clients to retrieve document paths and save to custom locations

Default Storage Location

Documents are stored in the documents/{featureId}/ directory by default, with filenames based on document type:

  • documents/{featureId}/prd.md - Product Requirements Document
  • documents/{featureId}/implementation-plan.md - Implementation Plan

Custom Storage

You can use the save_document tool to save documents to custom locations:

{
  "featureId": "feature-123",
  "documentType": "prd",
  "filePath": "/custom/path/feature-123-prd.md"
}

Path Retrieval

To get the path of a document, use the get_document_path tool:

{
  "featureId": "feature-123",
  "documentType": "prd"
}

This returns both the path and whether the document has been saved to disk.

Development

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

Installation

To use with compatible MCP clients:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "vibe-coder-mcp": {
      "command": "/path/to/vibe-coder-mcp/build/mcp-server.js"
    }
  }
}

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:

npm run inspector

The Inspector will provide a URL to access debugging tools in your browser.

Implementation Notes

This server is implemented using the high-level McpServer class from the Model Context Protocol TypeScript SDK, which simplifies the process of creating MCP servers by providing a clean API for defining resources, tools, and prompts.

import { McpServer, ResourceTemplate } from "@modelcontextprotocol/sdk/server/mcp.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";

// Create an MCP server
const server = new McpServer({
  name: "Vibe-Coder",
  version: "0.3.0"
});

// Add a resource
server.resource(
  "features-list",
  "features://list",
  async (uri) => ({ /* ... */ })
);

// Add a tool
server.tool(
  "start_feature_clarification",
  { /* parameters schema */ },
  async (params) => ({ /* ... */ })
);

// Add a prompt
server.prompt(
  "feature-planning",
  { /* parameters schema */ },
  (params) => ({ /* ... */ })
);

// Start the server
const transport = new StdioServerTransport();
await server.connect(transport);

Workflow

The Vibe-Coder MCP server is designed to guide the development process through the following steps:

  1. Feature Clarification: Start by gathering requirements and understanding the feature’s purpose, target users, and constraints
  2. Documentation: Generate a PRD and implementation plan based on the clarified requirements
  3. Phased Development: Break down the implementation into logical phases with clear tasks
  4. Progress Tracking: Monitor the completion of tasks and phases to guide development
  5. Completion: Verify that all requirements have been implemented and the feature is ready for use

Tools

No tools

Comments

Recommend MCP Servers

View All MCP Servers