Assign feature flags for use in M2M tokens

You can include feature flags in the tokens issued to machine-to-machine (M2M) applications in Kinde. This is helpful for enabling or disabling functionality in downstream systems based on feature access.

Note: At this time, only environment-level feature flags can be included in M2M tokens. Support for organization-assigned flag values may be added in future releases.

Define environment-level feature flags

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Before including a flag in a token, you need to define it in your environment.

1. In Kinde, go to Releases
2. Select Add flag
3. Give the flag a key and (optionally) description
4. Choose the flag type (boolean, string, number)
5. Add a default value (optional)
6. Select Save

Once defined, this flag will be available for inclusion in any M2M token issued in the same environment.

Include a flag in an M2M token

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1. Go to Applications > Your M2M app
2. Select the Tokens tab
3. Under Feature flags, toggle on the flags you want included in the token

These flags will be embedded in the token under the feature_flags claim:

{
  "feature_flags": {
      "new-ai-agent": {
          "t": "b",
          "v": true
       },
       "access-level": {
          "t": "s",
          "v": "beta"
       }
    }
}

The t and v are short codes for the type and value of the feature flag.

• t = type (boolean, string, number)
• v = value (true | false, “beta”, 1, etc.)

Only the feature flags you explicitly toggle on will be included.

Common use cases

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• Enable or disable AI models or endpoints
• Drive conditional logic in APIs or job runners
• Gate functionality in distributed workers

Notes

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• Flags are set at the environment level - they are global, not org-specific
• Token customization is configured per-app in the Tokens tab
• Tokens remain small: only enabled flags are included
• Flag values are read-only for the recipient - you must update them via the dashboard or API