Stop all running services in a Docker Compose project while preserving container configurations and data volumes, allowing a temporary halt without data loss.
Stop a running Docker container by its ID or name to free resources or halt processes. Safely terminates the container when container.write permission is granted.
A secure, container-based implementation of the Model Context Protocol (MCP) that provides sandboxed environments for AI systems to safely execute code, run commands, access files, and perform web operations.
MCP server for declarative intent execution. Agents submit intents — transfers, swaps, multi-hop routes — and the engine resolves and executes them atomically.
Run Python code in a stateful IPython kernel within a Docker container. Maintain variables, imports, and definitions across executions for iterative workflows. Supports async code with 'await' and sequential executions with shared kernel state.
Execute Python or C++ code snippets in isolated Docker containers with no network access, memory cap, and read-only filesystem. Returns output, status, and duration for safe code testing and verification.
Runs commands inside a specified Docker container, piping stdin directly to the process. Returns JSON with stdout, stderr, and exit code for automation.
Execute custom JavaScript code within 3D scenes to create advanced effects, custom shaders, complex geometry, or procedural generation beyond standard tool capabilities.
Execute shell commands inside a Docker container, with configurable stdin, working directory, environment, timeout, and acceptable exit codes. Supports background jobs for detached execution.
Retrieve the live process list inside a Docker container by name or ID, optionally passing ps arguments such as aux. Use it to debug container-level process state.