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Mcp Vibecoder
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.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
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.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
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 processprovide_clarification- Answer clarification questions about a featuregenerate_prd- Generate a Product Requirements Document and implementation plancreate_phase- Create a development phase for a featureadd_task- Add tasks to a development phaseupdate_phase_status- Update the status of a phaseupdate_task_status- Update the completion status of a taskget_next_phase_action- Get guidance on what to do nextget_document_path- Get the path of a generated documentsave_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:
- Automatically saves generated documents (PRDs, implementation plans) to files
- Maintains an in-memory copy for quick access
- 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 Documentdocuments/{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:
- Feature Clarification: Start by gathering requirements and understanding the feature’s purpose, target users, and constraints
- Documentation: Generate a PRD and implementation plan based on the clarified requirements
- Phased Development: Break down the implementation into logical phases with clear tasks
- Progress Tracking: Monitor the completion of tasks and phases to guide development
- Completion: Verify that all requirements have been implemented and the feature is ready for use
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










