1 tools. 1 can modify or destroy data without limits.
1 write tool that can modify data. Rate limits recommended.
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Execute tools (python_execute) trigger processes with side effects. Builds, notifications, workflows — all fired without throttling.
Intercept sits between your agent and Python execute. Every tool call checked against your policy before it executes — so your agent can do its job without breaking things.
npx -y @policylayer/intercept scan -- npx -y @STUzhy/py_execute_mcp 1 tools across 1 categories: Execute. 0 are read-only. 1 can modify, create, or delete data.
One line change. Instead of running the Python execute server directly, prefix it with Intercept: intercept -c stuzhy-py-execute-mcp.yaml -- npx -y @STUzhy/py_execute_mcp. Download a pre-built policy from policylayer.com/policies/stuzhy-py-execute-mcp and adjust the limits to match your use case.
Starter policies available for each. Same risk classification, same one-command setup.
Set budgets, approvals, and hard limits across MCP servers.
npx -y @policylayer/intercept init