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Safely run any code in isolated Docker containers for testing and automation.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "sandbox-mcp" yet — see the docs or source repo.
Run this Python script in the sandbox container, install missing dependencies, capture errors, and return a fixed runnable version with an explanation.
Returns execution logs, root-cause analysis, a fixed script, and verified output.
Use Python in the isolated container to read this CSV, check missing values, summarize sales by month, and output key statistics with reusable code.
Returns an analysis summary, summary table or chart notes, and reusable analysis code.
Execute this project's install and test commands in the sandbox, record each step's output, and identify failing steps, environment issues, and fixes.
Returns full command logs, test results, failure diagnosis, and actionable fixes.
Run commands, manage long jobs, and transfer files in AI sandboxes.
Provide AI agents a local isolated Linux sandbox for fast, safe commands.
Build, debug, and manage software tasks with natural language across LLMs.
Verify MCP server responses by returning a unique canary identity string.
Learn and test MCP tools, resources, and prompts in one sample server.
Run code and Postman collections in isolated sandboxes with real-time management.