What tools are pre-installed in Devcontainer Python?
pytest (testing framework), flake8 (code linter), and black (code formatter) are pre-installed.
@tomohiroJin
Basic information
A Model Context Protocol (MCP) server that provides real-time weather data to AI assistants.
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool 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.
Devcontainer Python is a Devcontainer-based template that provides a pre-configured Python development environment using Python 3.11, with essential tools and dependencies already installed. It is designed for developers who want a consistent, Docker-isolated environment for Python projects.
Clone the repository, open the project in VS Code, and reopen it in the Devcontainer when prompted. Verify the setup by running pytest. The environment includes pre-installed tools and sample code for reference.
.devcontainer/devcontainer.jsonpytest (testing framework), flake8 (code linter), and black (code formatter) are pre-installed.
Run `pytest` in the project directory to execute all tests.
Edit the `.devcontainer/devcontainer.json` file to change the Python version or add additional tools.
The project includes examples covering basic Python syntax and major design patterns, along with detailed test cases.
The environment is Docker-based and runs inside VS Code with Devcontainer support; no additional manual dependency installation is needed beyond cloning the repo and reopening in the container.
Painless E2E Automation for Mobile and Web
A search tool helps dev to solve the naming things problem.
不止于 CSS
PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct
🚀 The fast, Pythonic way to build MCP servers and clients.
Comments