An MCP server for defining and enforcing per-agent-pair access policies in agent-to-agent orchestration. It supports policy evaluation, policy management, decision logging, and signed policy attestations for runtime governance and compliance evidence.
From the registry: Per-agent-pair IAM for A2A. Define policies ('orchestrator may call billing only when amount<100...
$ pip install agent-policy-enforcement-mcphttps://pypi.org/project/agent-policy-enforcement-mcp/+Please install the `agent-policy-enforcement-mcp` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install the Python package** — Install the MCP server from PyPI so the `agent-policy-enforcement-mcp` command is available. Run: `pip install agent-policy-enforcement-mcp` (https://pypi.org/project/agent-policy-enforcement-mcp/+)
Canonical MCP server config (stdio transport):
- command: `agent-policy-enforcement-mcp`
- args: []
Note: README provides a Claude Desktop example showing the server runs via the `agent-policy-enforcement-mcp` executable. No arguments or environment variables are documented.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.Dead code, security, secrets detection and code quality for Python, TypeScript, Go.