The project "cloud-run-mcp" is an MCP (Model Context Protocol) server designed to enable AI agents and applications to deploy code and manage services securely on Google Cloud Run. It supports both local and remote deployment scenarios, making it versatile for different development environments. The server allows MCP-compatible AI agents to deploy applications directly to Cloud Run, facilitating seamless integration with AI-powered IDEs, AI assistant applications, and agent SDKs such as the Google Gen AI SDK and the Agent Development Kit. The repository provides tools for various deployment and management tasks, including deploying file contents directly to Cloud Run, listing Cloud Run services, retrieving service details and logs, and deploying local files or folders to Cloud Run services. Some of these tools are only available when running the server locally. Users can run the MCP server locally on their machines using local Google Cloud credentials, which is ideal for AI-assisted IDEs or desktop AI applications. The setup involves installing Node.js, the Google Cloud SDK, and authenticating with Google Cloud. Configuration involves updating the MCP client to use the cloud-run MCP server. Alternatively, the MCP server can be deployed remotely on Google Cloud Run itself. This remote deployment requires IAM authentication to secure access and prevent unauthorized use of Google Cloud resources. The process includes deploying the MCP server container to Cloud Run, setting up a secure proxy on the local machine to connect to the remote server, and configuring the MCP client to communicate through this proxy. Overall, cloud-run-mcp provides a secure, flexible, and integrated solution for AI-driven deployment and management of applications on Google Cloud Run, leveraging the Model Context Protocol to enable advanced AI agent interactions with cloud infrastructure.
https://github.com/GoogleCloudPlatform/cloud-run-mcp
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