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Run Python in Docker with package, environment, and file management.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Python Interpreter with Docker" yet — see the docs or source repo.
Please run the following Python task in a Docker container: read /workspace/sales.csv, remove nulls and duplicates, convert the date column to YYYY-MM-DD format, save the cleaned file to /workspace/sales_clean.csv, and return row counts before and after processing.
Returns execution results, cleaning statistics, and a downloadable cleaned CSV file.
Please install requests and pandas in an isolated Docker environment, run /workspace/app.py, and check for runtime errors; if any occur, return the full error message and suggest fixes.
Returns dependency installation results, runtime logs, error details, and fix suggestions.
Please write and run a Python script in a Docker container to scan all .txt files under /workspace/reports, count words and occurrences of the keyword "error" in each file, and generate a summary table at /workspace/report_summary.csv.
Returns the script execution result and creates a summary CSV with per-file statistics.
Safely run Python code and manage packages for analysis and automation.
Manage Docker containers and images efficiently through typed MCP tools.
Manage Docker containers with natural-language commands for common lifecycle operations.
Safely run Python code with AI and MCP tool integration.
Manage Docker containers, images, Compose, Swarm, and registries from one tool.
Lets AI agents run Python, execute scripts, and install pip packages locally.