Implementation guides

AI Agent Authorization Integrations

Choose the framework or service boundary where you need to enforce an agent's delegated authority. Each guide shows the relevant package, verification point, scopes, and current limitations.

Grantex is an open-source delegated authorization and trust layer for AI agents. It gives each agent a verifiable identity and scoped, time-limited, revocable authority from a human or organization, with multi-agent delegation, service-side verification, and audit records.

Grantex complements OAuth 2.0 and MCP: OAuth handles application and user authorization, MCP connects models to tools, and Grantex proves which agent may perform which action for which principal.

Framework and API guides

Use the primary TypeScript or Python SDK for core grants and verification, then add a framework adapter when it reduces integration work. Review the release-status page before production use.

Additional ecosystem integrations

These packages have documentation but do not yet have separate landing pages.

Where should authorization run?

At the tool or API boundary

  • Verify the JWT signature and claims using JWKS.
  • Require the exact scope before execution.
  • Use online or synchronized state when current revocation matters.

Inside the agent application

  • Register the agent and request a scoped grant.
  • Carry the grant token to the receiving service.
  • Add an audit wrapper when you need tool-execution records.