Deploy Apollo MCP Server

Deploy-ready Apollo MCP server for Apollo MCP projects

Deploy Apollo MCP Server

Just deployed

Deploy and Host Apollo MCP Server on Railway

The Apollo MCP Server provides a standard way for AI models and agents to access, orchestrate, and interact with your GraphQL APIs with little configuration and setup. It acts as a bridge between AI and your GraphQL endpoints, enabling controlled access, observability, and automation through the Model Context Protocol.

About Hosting Apollo MCP Server

Hosting the Apollo MCP Server is a standalone deployment: you run the MCP process by itself and expose MCP tools that wrap your existing APIs (GraphQL or HTTP). Configure your tool definitions, target API URLs, via GraphOS. On Railway, you can deploy the MCP container directly, set env vars in the dashboard, and let the platform handle logging, scaling, and restarts. Clients (e.g., AI agents) then connect to your MCP Server to securely discover and invoke the tools you’ve exposed.

Common Use Cases

  • Stand up a production-ready MCP Server connected to your federated graph
  • Integrate AI models or assistants with your existing GraphQL APIs via MCP
  • Prototype API-driven AI agents using your GraphOS-managed graph

Dependencies for Apollo MCP Server Hosting

  • An Apollo GraphOS account with a registered graph and stored collections to expose through MCP
  • A valid GraphQL endpoint or Apollo Router instance

Deployment Dependencies

Why Deploy Apollo MCP Server on Railway?

Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it.

By deploying Apollo MCP Server on Railway, you are one step closer to supporting a complete full-stack application with minimal burden. Host your servers, databases, AI agents, and more on Railway.


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