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Provide X.509 identity, risk scoring, and audit logs for AI agents.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.kakunin-ai/kakunin" MCP server from askskill: Run: claude mcp add 'io-github-kakunin-ai-kakunin' -- npx -y @kakunin/mcp
Generate and bind an X.509 identity for this AI agent for trusted authentication and traceability.
Returns the agent identity setup result or relevant identity details.
Generate a risk score for this AI agent based on its operational context and include key audit record points.
Outputs a risk score and a summary of related audit records.
Generate audit logs for this AI agent’s critical actions to support MiCA and EU AI Act compliance.
Produces traceable audit logs or structured logging information.
Developers or platform teams can use it to assign X.509 identities to AI agents during deployment, improving authentication, traceability, and governance.
When AI agents participate in important business workflows, teams can use it to generate risk scores and help determine control requirements.
Teams that need to align with MiCA or the EU AI Act can use its audit logging capability to record key agent actions for later audit and review.
It is an MCP tool for AI agents that provides X.509 identity, risk scoring, and audit logging, with an emphasis on MiCA and EU AI Act compliance.
It is suited for scenarios where teams need trusted agent identity, operational risk assessment, and audit records, especially in compliance-sensitive environments.
The provided information does not specify installation steps, runtime, or key requirements; for details, see the source repository.
Audit AI agent permissions by scanning credential, injection, and reach risks.
Protect AI agents with scans for injections, leaks, risky URLs, and passwords.
Verify file trust for AI agents and stamp validated work products.
Generate compliant model and system cards for AI governance frameworks automatically.
Add authorization, delegation, provenance, and audit controls to AI agents.
Lets AI agents save and run reusable protocol chains with persistent memory.