{
  "markdown": "# Cloud Resource Manager MCP Extension\n\nThe Cloud Resource Manager MCP extension allows users to interact with the Cloud\nResource Manager API via natural language commands.\n\n## Why use the Cloud Resource Manager MCP server?\n\nGoogle and Google Cloud\n[managed MCP servers](https://docs.cloud.google.com/mcp/overview) can be used in\nyour AI applications with enterprise-ready governance, security, and access\ncontrol.\n\n## Before you begin\n\n1.  In the Google Cloud console, on the\n    [project selector page](https://console.cloud.google.com/projectselector2/home/dashboard),\n    select or create a Google Cloud project.\n\n    > **Note**: If you don't plan to keep the resources that you create in this\n    > procedure, create a project instead of selecting an existing project.\n    > After you finish these steps, you can delete the project, removing all\n    > resources associated with the project.\n\n2.  Get your administrator to grant you the\n    [MCP Tool User role](https://docs.cloud.google.com/iam/docs/roles-permissions/mcp#mcp.toolUser)\n    (`roles/mcp.toolUser`) on the Google Cloud project. If you created a new\n    project, then you already have the required permissions.\n\n3.  Ensure your administrator has enabled the\n    [Cloud Resource Manager API](https://console.cloud.google.com/marketplace/product/google/cloudresourcemanager.googleapis.com)\n    on the Google Cloud project.\n\n## Configure authentication\n\nThis extension uses Google Application Default Credentials (ADC) to perform\nauthentication. To login with ADC, run the following command in your terminal:\n\n```bash\ngcloud auth application-default login\n```\n\nFor additional details, see the\n[ADC documentation](https://docs.cloud.google.com/docs/authentication/application-default-credentials#personal).\n\n## Install the extension\n\nTo install the extension, run the following command in your terminal:\n\n```bash\ngemini extensions install https://github.com/gemini-cli-extensions/cloud-resource-manager\n```\n\n## Available tools\n\nTo see a complete list of available tools and their schemas, see the\n[Cloud Resource Manager MCP reference](https://docs.cloud.google.com/resource-manager/reference/mcp).\n\n## Sample use cases\n\nThe search_projects tool in the Resource Manager remote MCP server lets AI\nagents dynamically discover and identify all Google Cloud projects that you have\nthe necessary permissions to access so they can execute commands in other tools.\n\nThe tool returns a structured list containing the project ID, project number,\nand the lifecycle state of the project. The following are sample use cases for\nthe Resource Manager MCP server:\n\n-   Resource inventory and accessibility audits: List and summarize the active\n    cloud projects accessible to you.\n\n    User prompt: List all my active Google Cloud projects.\n\n    Agent action: The agent sends a search query to the MCP server to retrieve\n    and display a summarized list of all active projects under your credentials.\n\n-   Targeted parent-based searches: Retrieve projects located within a specific\n    folder or organization to narrow the scope of a request.\n\n    User prompt: Find all projects under Folder 223.\n\n    Agent action: The agent executes a tool call with the query\n    parent:folders/223 to return a list of projects within that administrative\n    boundary.\n\n-   Implicit context resolution: When you ask for information about a resource\n    without providing a specific project ID, the agent can resolve the context\n    automatically.\n\n    User prompt: Check the status of my 'payment-processor' service.\n\n    Agent action: The agent recognizes that a project_id is missing for the\n    Cloud Run tool. It uses the search_projects tool to find projects with\n    payment in the name, identifies likely projects (such as payment-prod-123),\n    and asks you for confirmation before proceeding.\n\n-   Environment-specific discovery: You can find projects filtered by specific\n    environments or organizational structures without leaving the chat\n    interface.\n\n    User prompt: Which projects do I have access to in the staging environment?\n\n    Agent action: The agent performs a search operation for all projects labeled\n    or named staging that you have permission to view and returns the specific\n    project IDs.\n\n## Optional security and safety configurations\n\nMCP introduces new security risks and considerations due to the wide variety of\nactions that you can take with MCP tools. To minimize and manage these risks,\nGoogle Cloud offers defaults and customizable policies to control the use of MCP\ntools in your Google Cloud organization or project.\n\nFor more information about MCP security and governance, see\n[AI security and safety](https://docs.cloud.google.com/mcp/ai-security-safety).\n\n## Quotas and limits\n\nThe Cloud Resource Manager MCP server doesn't have its own quotas. There is no\nlimit on the number of call that can be made to the MCP server. You are still\nsubject to the quotas enforced by the APIs called by the MCP server tools.\n\n## Reference and resources\n\n*   Explore the\n    [Cloud Resource Manager remote MCP server reference documentation](https://docs.cloud.google.com/resource-manager/reference/mcp),\n    which includes a list of all available tools, and the full input and output\n    schema for each tool.\n*   See the\n    [Cloud Resource Manager overview](https://docs.cloud.google.com/resource-manager/docs).\n*   Learn about\n    [MCP security and governance](https://docs.cloud.google.com/mcp/ai-security-safety).\n",
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