mcpField
M
MCP Development Server

MCP Development Server

Local
github.com/dillip285Developer Tools4Updated 98w ago

About MCP Development Server

MCP Development Server gives Claude project context for managing software development projects and runs code operations through Docker environments. It is for teams that need project files, build and test information, and development operations through MCP.

Key features

  1. 01Manage project context and files
  2. 02Create projects from templates
  3. 03Integrate with Git
  4. 04Run builds and tests through Docker
  5. 05Expose project status and test results
  6. 06Provide analysis and error diagnosis prompts

Use cases

  1. 01Initialize a software development project
  2. 02Review build status, artifacts, and test results
  3. 03Run project operations in Docker containers
  4. 04Analyze projects and diagnose errors

MCP support

The MCP server exposes project structure and files, build status, test results, and Docker status as resources. It also provides tools for project initialization, builds, tests, and Docker commands, plus prompts for analysis and diagnosis.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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

# 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

{
  "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
# Create virtual environment
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

# Install dependencies
pip install -e ".[dev]"
Running tests
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.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.