Python Sandbox
MCP Sandbox provides a secure environment for executing Python code within isolated Docker containers, enabling AI assistants to safely run and test code. Built with FastAPI and React, it features user authentication, sandbox management with resource limits, package installation via uv, and file operations through a RESTful API. The implementation includes a comprehensive security model with container isolation, non-root execution, and memory limits, making it valuable for educational platforms, code testing services, and AI assistants that need to execute untrusted code without compromising system 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 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/johanli233/mcp-sandbox
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Python 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.