MCP Development Server
@dillip285
关于 MCP Development Server
暂无概览
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-dev-server": {
"command": "python",
"args": [
"-m",
"venv",
".venv"
]
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
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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