Docker Code Sandbox
Docker Code Interpreter MCP provides a secure sandbox environment for executing Python code within isolated Docker containers. The implementation creates lightweight Alpine-based containers with resource limits (memory, CPU, processes) and proper isolation, installs Python runtime dynamically, and exposes tools for initializing containers, executing code, and cleaning up resources. Built with comprehensive error handling and detailed logging, it enables AI assistants to safely run untrusted code for data analysis, algorithm testing, and educational demonstrations without compromising the host system's security.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Docker Code Sandbox from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.