How to Configure Gemini Enterprise to Connect to the Google Developer Knowledge MCP Server
An Real-World Example of using the Gemini Enterprise MCP Server Connector
How to Configure Gemini Enterprise to Connect to the Google Developer Knowledge MCP Server
An Real-World Example of using the Gemini Enterprise MCP Server Connector

Connecting Gemini Enterprise to MCP servers offers an open-standard way to link your data sources.
In my first blog post on this subject, I showed you how to connect to the Google Maps Lite MCP server. In this blog post, I’ll show you how to connect Gemini Enterprise to the Google Developer Knowledge MCP Server, which is the source of truth for Google’s public developer documentation.
It’s one of many Google managed MCP servers you can connect to.
Enable the Developer Knowledge API page
- Enable the Developer Knowledge API.

Create an OAuth Client in GCP
- Goto API & Services → Credentials. Select OAuth Client ID.

Create an OAuth Client ID
- Create the client using this configuration:
Application Type: Web application
Name: <any name> (in this example, I call this mcp-oauth-client)
Authorized redirect URIs: https://vertexaisearch.cloud.google.com/oauth-redirect

- OAuth client created. Note the Client ID and Client Secret since you will use those later.
Google Cloud no longer lets you view the Client Secret after you exit this screen so make you record the Client Secret.

Create an Oauth Client in Google Cloud
Create a new MCP datastore
- Open your Gemini Enterprise App.

- Select Connected data stores and Select + New Data store.

- Select Custom MCP Server under the Third-party sources.

- Configure the Authentication settings. Once all the fields are complete, click Login to verify you can connect to the MCP server.
MCP Server URL: https://developerknowledge.googleapis.com/mcp
Authorization URL: https://accounts.google.com/o/oauth2/v2/auth
Authorization URL Parameters: &access_type=offline&prompt=consent
Token URL: https://oauth2.googleapis.com/token
Client ID: <Your OAuth Client ID>
Client Secret: <Your OAuth Client Secret>
Scopes: https://www.googleapis.com/auth/cloud-platform
Note: https://www.googleapis.com/auth/cloud-platform is an extremely broad scope and should be replaced with a narrower scope when one is available.
- After you’ve logged in, click Continue.

- Under Advanced options, enter an MCP Server Description. I paraphrased the description given in the Developer Knowledge documentation. Then click Continue.

- Give you data connector a name. In this example, I’m calling it Developer Knowledge MCP Server. Click Create.

- You should see the Developer Knowledge MCP Server as a connected data store.

- Click on the Developer Knowledge MCP Server data store.

- Click on Actions. Click on Reload custom actions if you don’t see any actions listed.

- Select all and Enable actions.

- All the actions are now enabled.

Test the MCP Server
- Open the Gemini Enterprise App.

- Deselect the Google Search data store, then Authorize the Developer Knowledge MCP server data store.


- Test the MCP server with a prompt. Try prompts like:
- Search the Google documentation for a Python example to list all buckets in a Cloud Storage project.
- What’s the best way to implement push notifications using Firebase Cloud Messaging in an Android app?.
- Help me choose between Cloud Run and Cloud Functions for a new microservice. Create a Markdown table that compares key aspects like primary use case, concurrency, and pricing model.

Summary
The process is also documented in the public documentation.
Connecting Google’s Developer Knowledge MCP Server lets Gemini Enterprise “read” Google’s official developer documentation. This allows you to ask questions such as:
- Can you compare Cloud Run and Cloud functions for this use case?
- Search the Google documentation for a Python example to list all buckets in a Cloud Storage project.
- What’s the best way to implement push notifications using Firebase Cloud Messaging in an Android app?
A logical next step is to connect Google’s Developer Knowledge MCP server to an IDE or Agentic Coding Tool, such as Antigravity, where this Knowledge becomes even more powerful.
References
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