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Sandboxed Python execution for AI agents. PEP 723 inline deps, multi-version Python, zero pollution.
npx @getmcp/cli add io.github.lu-zhengda/mcp-python-exec-sandboxRequires Python 3.10+. Community-contributed server. Review source before installing.
Config file: ~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"io.github.lu-zhengda/mcp-python-exec-sandbox": {
"command": "uvx",
"args": [
"mcp-python-exec-sandbox"
]
}
}
}Ephemeral data sandbox for AI workflows with guardrails and security
AI knowledge graph for architecture, portfolio, and digital strategy management.
Built-in MCP server for ArcadeDB multi-model database (graph, document, vector, time-series)
Structured failure knowledge for AI agents — dead ends, workarounds, error chains