This MCP implementation, developed by Automata Labs, provides a sandboxed code execution environment for AI agents. Built with Go and leveraging Docker, it offers secure code running capabilities across multiple languages. The implementation focuses on safety and isolation, with features like resource limits and network restrictions. It integrates seamlessly with Claude Desktop and other AI applications through a standardized interface. Particularly useful for developers and researchers working on AI-assisted coding tasks, it enables use cases such as code generation, debugging, and automated testing without exposing the underlying system to potential security risks.
Cognium trust score
50%
Tier
Unverified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.