MCP Development Server

Name: MCP Development Server
Author: dillip285

@dillip285

Repository

About MCP Development Server

No overview available yet

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-dev-server": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Development Server?

MCP Development Server is an MCP server that enables Claude to manage software development projects, providing complete project context awareness and handling code execution through Docker environments.

How to use MCP Development Server?

Install the server via pip install mcp-dev-server, then add its configuration to Claude Desktop’s claude_desktop_config.json (located at ~/Library/Application Support/Claude/ on macOS or %APPDATA%/Claude/ on Windows). Once configured, the server exposes resources (project structure, build status), tools (project initialization, build, test, Docker commands), and prompts (project analysis, development suggestions, error diagnosis).

Key features of MCP Development Server

Project context management
File system operations
Template-based project creation
Git integration
Docker environment support
Build and test execution

Use cases of MCP Development Server

Initialize new projects from templates within Claude.
Run build and test operations in isolated Docker containers.
Analyze project structure and diagnose errors with contextual prompts.
Manage Git operations alongside file system tasks.

FAQ from MCP Development Server

What are the system requirements?

Python 3.12 or higher, Docker, and Git must be installed.

How do I configure the server for Claude Desktop?

Add the following JSON to your claude_desktop_config.json: { "mcpServers": { "dev": { "command": "mcp-dev-server", "args": [] } } }.

What capabilities does the server provide?

It provides resources (project files, build status, test results, Docker status), tools (initialization, build, test, Docker commands), and prompts (analysis, suggestions, error diagnosis).

How do I set up a development environment?

Create a Python virtual environment, activate it, and run pip install -e ".[dev]" in the cloned repository.

How do I run tests?

Execute pytest tests/ from the project root.

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