☁️ 🚀 Build and Deploy a remote MCP server to Cloud Run in 5 minutes

What is ☁️ 🚀 Build and Deploy a remote MCP server to Cloud Run in 5 minutes?

This project provides a quick-start template and guide to build a remote MCP server using FastMCP and deploy it to Google Cloud Run. It demonstrates how to run a Model Context Protocol server over the streamable-http (or sse) transport, making it centrally accessible, scalable, and secured with authentication. It is aimed at developers who want to move from local MCP servers to a remote, shareable infrastructure.

How to use ☁️ 🚀 Build and Deploy a remote MCP server to Cloud Run in 5 minutes?

Clone the repository, set your Google Cloud project, and deploy the server with gcloud run deploy mcp-server --no-allow-unauthenticated --region=us-central1 --source .. After deployment, run gcloud run services proxy mcp-server --region=us-central1 to create an authenticated local tunnel. Test the connection using uv run test_server.py, which exercises the add and subtract tools.

Key features of ☁️ 🚀 Build and Deploy a remote MCP server to Cloud Run in 5 minutes

• Deploys a remote MCP server on Cloud Run with automatic scaling.
• Enforces authentication via the --no-allow-unauthenticated flag and IAM roles.
• Uses FastMCP for a fast, Pythonic server implementation.
• Supports streamable-http transport (default) with sse as an option.
• Includes two example math tools: add and subtract.
• Provides a local proxy tunnel for secure client connections.

Use cases of ☁️ 🚀 Build and Deploy a remote MCP server to Cloud Run in 5 minutes

• Share a centralized MCP server across a team so everyone uses the same tools.
• Run an MCP server remotely to eliminate local setup and maintenance for each developer.
• Leverage Cloud Run’s scalability to handle variable request loads from AI assistants.
• Secure an MCP server with authenticated requests to prevent public access.

FAQ from ☁️ 🚀 Build and Deploy a remote MCP server to Cloud Run in 5 minutes

What transports does this MCP server support?

It uses streamable-http by default, but you can switch to sse by changing the transport parameter in server.py to transport="sse".

How do I deploy the MCP server to Cloud Run?

You can deploy from source with gcloud run deploy mcp-server --no-allow-unauthenticated --region=us-central1 --source . or from a container image built via Cloud Build. Both options require the --no-allow-unauthenticated flag.

How do I authenticate MCP clients?

Use the Cloud Run proxy by running gcloud run services proxy mcp-server --region=us-central1. This creates an authenticated tunnel to your service. You must also ensure that the caller (or the proxy) has the roles/run.invoker IAM role.

What are the prerequisites to get started?

You need Python 3.10+ (required by FastMCP), the Google Cloud SDK (gcloud), and Git for cloning the repository.

What tools are included in the example server?

The example Math MCP server provides two tools: add (returns the sum of two numbers) and subtract (returns the difference).