What are the system requirements for MCP Development Server?
Python 3.12 or higher, Docker, and Git are required.
@MCP-Mirror
Basic information
Mirror of
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"dillip285_mcp-dev-server": {
"command": "python",
"args": [
"-m",
"venv",
".venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
MCP Development Server is a Model Context Protocol (MCP) server that enables Claude to manage software development projects. It provides complete project context awareness and handles code execution through Docker environments, targeting users who want to use Claude for development tasks.
Install the server via pip (pip install mcp-dev-server) and add a configuration entry to your Claude Desktop configuration file (located at ~/Library/Application Support/Claude/claude_desktop_config.json on macOS or %APPDATA%/Claude/claude_desktop_config.json on Windows) with the command mcp-dev-server. Once configured, Claude can access its resources, tools, and prompts for project management and code execution.
Python 3.12 or higher, Docker, and Git are required.
Install it via pip with `pip install mcp-dev-server`. For development, clone the repository and run `pip install -e .` from the project directory.
Add a `dev` entry under `mcpServers` in your Claude Desktop configuration file, with `"command": "mcp-dev-server"` and an empty args array.
It provides resources for project structure, build status, test results, and Docker container status. Tools include project initialization, build operations, test execution, and Docker commands. Prompts cover project analysis, development suggestions, and error diagnosis.
Run `pytest tests/` from the project directory after installing dependencies with `pip install -e ".[dev]"` in a virtual environment.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
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