The MCP Studio Blog
Practical guides on converting OpenAPI specs into MCP servers, connecting AI clients, and building agent-ready APIs.
Latest posts
Walkthroughs for building, connecting, and deploying MCP servers.
Best Practices for Designing OpenAPI Specs for AI Agents
Practical spec design that improves generated tool names, descriptions, input schemas, safety, and output size in MCP servers.
Where to Deploy Your MCP Server: Seven Options Compared
A practical comparison of PaaS, serverless container, and edge platforms for generated MCP servers, with links to a step-by-step deployment guide for each.
Deploy an MCP Server to Cloudflare Workers
Take a generated TypeScript MCP server from local bundle to a global HTTPS endpoint on Cloudflare Workers, with the runtime flags, fetch adapter, and secrets setup it needs.
Deploy an MCP Server to Vercel
Ship a generated TypeScript MCP server as a Vercel Function with zero framework config, environment variables for upstream credentials, and a public /mcp endpoint.
Deploy an MCP Server to Google Cloud Run
Package a generated MCP server as a container or buildpack app, bind it to Cloud Run's port and host, wire secrets from Secret Manager, and scale to zero.
Deploy an MCP Server to AWS App Runner
Build a container image, push it to Amazon ECR, and run a generated MCP server on App Runner with secrets, health checks, and autoscaling, plus the ECS Express Mode alternative.
Deploy an MCP Server to Render
Deploy a generated MCP server to Render with native Node or Python runtimes, Docker for PHP and Java, a render.yaml blueprint, and secret environment variables.
Deploy an MCP Server to Railway
Deploy a generated MCP server to Railway with Railpack or Docker, inject upstream credentials as variables, and publish a public HTTPS /mcp endpoint.
Deploy an MCP Server to Fly.io
Build a Docker image, configure Fly Machines with auto-stop and scale-to-zero, add secrets, and publish a public HTTPS /mcp endpoint on Fly.io.
Connecting Generated MCP Servers to Claude Desktop and Cursor
A generated bundle is only useful once your client can discover it. Wire the server into Claude Desktop or Cursor, pass configuration safely, and verify the tools.
From OpenAPI to a Running MCP Server
Turn an existing REST API specification into a Model Context Protocol server your AI agents can call. Here is the full workflow, from upload to first tool call.
Have a specification ready?
Upload your OpenAPI or Swagger file and generate a runnable MCP server in your preferred language.