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    Mcp Dev Server

    3 stars
    Python
    Updated Jun 23, 2025

    Table of Contents

    • Features
    • Core Infrastructure
    • Requirements
    • Installation
    • Configuration
    • Claude Desktop Configuration
    • Usage
    • Resources
    • Tools
    • Prompts
    • Development
    • Setting up development environment
    • Running tests
    • Contributing
    • License

    Table of Contents

    • Features
    • Core Infrastructure
    • Requirements
    • Installation
    • Configuration
    • Claude Desktop Configuration
    • Usage
    • Resources
    • Tools
    • Prompts
    • Development
    • Setting up development environment
    • Running tests
    • Contributing
    • License

    Documentation

    MCP Development Server

    A Model Context Protocol (MCP) server that enables Claude to manage software development projects, providing complete project context awareness and handling code execution through Docker environments.

    Features

    Core Infrastructure

    • Project context management
    • File system operations
    • Template-based project creation
    • Git integration

    Requirements

    • Python 3.12 or higher
    • Docker
    • Git

    Installation

    bash
    # Using pip
    pip install mcp-dev-server
    
    # Development installation
    git clone https://github.com/your-org/mcp-dev-server.git
    cd mcp-dev-server
    pip install -e .

    Configuration

    Claude Desktop Configuration

    Add to your Claude Desktop configuration file:

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

    On Windows: %APPDATA%/Claude/claude_desktop_config.json

    json
    {
      "mcpServers": {
        "dev": {
          "command": "mcp-dev-server",
          "args": []
        }
      }
    }

    Usage

    The server provides several MCP capabilities:

    Resources

    • Project structure and files
    • Build status and artifacts
    • Test results
    • Docker container status

    Tools

    • Project initialization
    • Build operations
    • Test execution
    • Docker commands

    Prompts

    • Project analysis
    • Development suggestions
    • Error diagnosis

    Development

    Setting up development environment

    bash
    # Create virtual environment
    python -m venv .venv
    source .venv/bin/activate  # On Windows: .venv\Scripts\activate
    
    # Install dependencies
    pip install -e ".[dev]"

    Running tests

    bash
    pytest tests/

    Contributing

    Please read CONTRIBUTING.md for details on our code of conduct and the process for submitting pull requests.

    License

    This project is licensed under the MIT License - see the LICENSE file for details.

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