pulsemcp scanned Safe content atomic mcp-remote

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.

Cognium trust score
42%
Tier
Scanned

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
Author type
human
Last scanned
2026-09-02
Updated
2026-09-02
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Use via MCP

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
Swap --scope user for --scope project to commit it to .mcp.json.

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