This is an example Model Context Protocol (MCP) server that allows remote clients to connect and authenticate using WorkOS AuthKit.
AuthKit supports user management features including an organization-centric authentication model allowing you to control tool access based on user and organization permissions.
First to create a WorkOS account by signing into the WorkOS Dashboard.
Next, add the MCP server's callback URL as a Redirect URI under Redirects
-> Sign in callback. If you are testing locally, this will be
http://localhost:8788/callback, or if deployed, the domain of your deployed
worker with the same /callback path.
Next, you must set the WORKOS_CLIENT_ID and WORKOS_CLIENT_SECRET environment
variables. These can be obtained from the WorkOS Dashboard under API Keys.
You can set these in the Cloudflare dashboard or using the wrangler
CLI:
$ npx wrangler secret put WORKOS_CLIENT_ID <your_workos_client_id>
$ npx wrangler secret put WORKOS_CLIENT_SECRET <your_workos_client_secret>Note: The WORKOS_CLIENT_ID isn't technically a secret and so you may also choose
to set it via your wrangler.jsonc configuration file. But WORKOS_CLIENT_SECRET is not
public and should be securely set elsewhere.
And that's it! You can now test out your remote MCP server using the example playground below.
Visit the Cloudflare Workers AI playground and enter the URL of your worker:
# Local
http://localhost:8788/sse
# Deployed
https://<your-worker-domain>/sse
After clicking Connect, you'll be redirected to your WorkOS AuthKit domain, where you can sign-in, and be returned to the playground authenticated as a WorkOS AuthKit user.
In the demo code, the generateImage tool is gated behind the image_generation permission. You can read more about Permissions in AuthKit here. Try assigning a permission with the image_generation slug to your user to see how it enables additional tools in the playground.