Code Execution Mode
MCP server providing secure Python code execution in isolated containers while enabling seamless integration with other MCP servers through bridge architecture. Automatically discovers MCP servers from Claude Code and standard configuration locations, then executes Python code in rootless containers (Podman/Docker) with network isolation and resource limits while providing runtime access to discovered MCP servers through generated proxy objects. Features TOON-format response encoding for token efficiency, persistent MCP client sessions, automatic server metadata discovery with tool aliasing, and comprehensive sandbox security including memory limits, process restrictions, and temporary filesystem isolation.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
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
- Updated
- 2026-05-22
Use via MCP
Resolve Code Execution Mode 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.