☁️ 🚀 Build and Deploy a remote MCP server to Cloud Run in 5 minutes
Deploy and host a remote MCP server on Cloud Run
Overview
What is MCP on Cloud Run?
MCP on Cloud Run is a project that allows users to build and deploy a remote Model Context Protocol (MCP) server on Google Cloud's serverless platform, Cloud Run, in just five minutes.
How to use MCP on Cloud Run?
To use MCP on Cloud Run, clone the repository from GitHub, set up your Google Cloud credentials, and deploy the MCP server using the provided commands. You can deploy directly from source or using a container image.
Key features of MCP on Cloud Run?
- Easy deployment of a remote MCP server in minutes.
- Supports multiple transport methods:
sseandstreamable-http. - Scalable serverless architecture that adjusts based on demand.
- Centralized server access for team collaboration.
- Enhanced security with authentication requirements.
Use cases of MCP on Cloud Run?
- Hosting a centralized MCP server for team projects.
- Connecting AI tools and resources in software development.
- Providing scalable solutions for applications needing external tool integration.
FAQ from MCP on Cloud Run?
- What is the Model Context Protocol (MCP)?
MCP is a protocol that connects prompts, resources, and tools to a large language model (LLM).
- Is there a cost associated with using Cloud Run?
Cloud Run operates on a pay-per-use model, meaning you only pay for the resources you consume.
- What are the prerequisites for deploying an MCP server?
You need Python 3.10+, Google Cloud SDK, and Git to clone the repository.
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