Catalog›Plugins›datastreamDdatastreamManage and monitor your Datastream resources, such as streams, connection profiles, and stream objects. Open site Open in the app JSON README (API)READMELoading documentation…# Datastream Managed MCP Extension > **Preview:** This product is subject to the "Pre-GA Offerings Terms" in the > General Service Terms section of the > [Service Specific Terms](https://docs.cloud.google.com/terms/service-terms#1). > Pre-GA products and features are available "as is" and might have limited > support. For more information, see the > [launch stage descriptions](https://cloud.google.com/products#product-launch-stages). The Datastream managed MCP extension lets you manage and monitor your Datastream resources, such as streams, connection profiles, and stream objects, from your AI application. ## Why use the Datastream managed MCP server? Google and Google Cloud [managed MCP servers](https://docs.cloud.google.com/mcp/overview) can be used in your AI applications with enterprise-ready governance, security, and access control. ## Before you begin 1. In the Google Cloud console, on the [project selector page](https://console.cloud.google.com/projectselector2/home/dashboard), select or create a Google Cloud project. > **Note**: If you don't plan to keep the resources that you create in this > procedure, create a project instead of selecting an existing project. > After you finish these steps, you can delete the project, removing all > resources associated with the project. 2. Get your administrator to grant you the [MCP Tool User role](https://docs.cloud.google.com/iam/docs/roles-permissions/mcp#mcp.toolUser) (`roles/mcp.toolUser`) on the Google Cloud project. If you created a new project, then you already have the required permissions. 3. Ensure your administrator has enabled the [Datastream API](https://console.cloud.google.com/marketplace/product/google/datastream.googleapis.com) on the Google Cloud project. ## Configure authentication This extension uses Google Application Default Credentials (ADC) to perform authentication. To login with ADC, run the following command in your terminal: ```bash gcloud auth application-default login ``` For additional details, see the [ADC documentation](https://docs.cloud.google.com/docs/authentication/application-default-credentials#personal). ## Install the extension To install the extension, run the following command in your terminal: ```bash gemini extensions install https://github.com/gemini-cli-extensions/datastream ``` ## Available tools To see a complete list of available tools and their schemas, see the [Datastream MCP reference](https://docs.cloud.google.com/datastream/docs/reference/mcp). ## Sample use cases The following are example use cases for the Datastream MCP server: - List, get, start, and delete streams in your project. - List connection profiles to verify connectivity settings for sources and destinations. - List and get details of specific stream objects to track replication progress and status. - Use the get_operation tool to poll the status of operations such as starting or deleting a stream. ### Sample prompts - List all running Datastream streams in project `PROJECT_ID` and location `LOCATION`. - What's the status of the Datastream stream `STREAM_ID` in `LOCATION`? - Start the Datastream stream `STREAM_ID` in `LOCATION`. - List the objects being replicated by the stream projects/`PROJECT_ID`/locations/`LOCATION`/streams/`STREAM_ID`. - Check the replication status for the source table `TABLE_NAME` in the stream projects/`PROJECT_ID`/locations/`LOCATION`/streams/`STREAM_ID`. In the prompts, replace the following: - `PROJECT_ID` with your Google Cloud project identifier. - `LOCATION` with the location of your Google Cloud project. - `STREAM_ID` with your Datastream stream identifier. - `TABLE_NAME` with the name of your source table. ## Optional security and safety configurations MCP introduces new security risks and considerations due to the wide variety of actions that you can take with MCP tools. To minimize and manage these risks, Google Cloud offers defaults and customizable policies to control the use of MCP tools in your Google Cloud organization or project. For more information about MCP security and governance, see [AI security and safety](https://docs.cloud.google.com/mcp/ai-security-safety). ## Quotas and limits The Datastream MCP server doesn't have its own quotas. There is no limit on the number of call that can be made to the MCP server. You are still subject to the quotas enforced by the APIs called by the MCP server tools. ## Reference and resources * Explore the [Datastream remote MCP server reference documentation](https://docs.cloud.google.com/datastream/docs/reference/mcp), which includes a list of all available tools, and the full input and output schema for each tool. * See the [Datastream overview](https://docs.cloud.google.com/datastream/docs). * Learn about [MCP security and governance](https://docs.cloud.google.com/mcp/ai-security-safety). DetailsTypePluginsPublishergemini-cli-extensionsSourcegeminiCategoryToolsVersion1.0.0Last updateApr 20, 20267 months agoProject statusActiveLicenseApache-2.0AddedAug 30, 20263 months agoUpdatedAug 30, 20263 months agoSource idgemini-cli-extensions/datastreamMorePluginsAll from gemini-cli-extensionsA–Z index
