agent-policy-enforcement-mcp

Purpose: Enforcing granular access and authorization policies between AI agents to ensure secure and compliant agent-to-agent interactions.

Inferred · not functionally tested

Audience: AI developers and security engineers

Inferred · not functionally tested

Functions: Unknown

Interfaces: API: unknown · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT License · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

agent-policy-enforcement-mcp sits in PulseGate's AI security & guardrails category. Inferred · not functionally tested: It focuses on enforcing granular access and authorization policies between AI agents to ensure secure and compliant agent-to-agent interactions. Inferred · not functionally tested: It is built as an open-source project for AI developers and security engineers. Basis unknown · not verified: The project is open source (MIT License). Basis unknown · not verified: It runs on the command line, and it can be self-hosted.

Behind agent-policy-enforcement-mcp is CSOAI-ORG, and it first shipped in 2026. Inferred · not functionally tested: Among its 6 catalogued features are policy definition, Agent-to-agent IAM, and policy enforcement. Basis unknown · not verified: Catalogued interfaces include an MCP server.

Summary written by a language model from the project’s public pages.