mcp-agent-enterprise-guard

Scores AI agents for trust, permissions, and silent-failure risk.

Source

third_party_registry

Updated

2026-09-01

// securityCaution

Runs locally
Open source

Running security audit…

Credentials
Network egress
Code execution
Data access
Supply chain

// install

Copy the install command and let the AI configure it · recommended for beginners

No copy-paste install info for "mcp-agent-enterprise-guard" yet — see the docs or source repo.

// examples

Assess agent trustworthiness

Prompt

Assess the current agent's behavior history, calculate a trust score, and explain the main risks.

Expected

A trust score, risk explanation, and a short conclusion.

Check tool permissions

Prompt

Evaluate whether this AI agent should be granted access to a tool and explain the permission decision.

Expected

A grant/deny permission decision with justification.

Generate an audit report

Prompt

Generate an audit report for this agent covering reliability, silent-failure risk, and permission decisions.

Expected

A structured audit report covering risks and recommendations.

// use cases

Pre-launch agent risk review

Developers or owners can assess trust and silent-failure risk before an AI agent goes to production. This helps decide whether to allow it and what safeguards are needed.

Review tool access permissions

When an agent needs to call sensitive tools, this can help determine whether access should be granted. It fits environments with strict permission boundaries.

Create reliability audit materials

Teams can generate audit reports when they need to explain an agent's risk to security, compliance, or management. The report can document trust, permissions, and potential failure risk.