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OpenAPI to MCP Server Converter for Production APIs

Upload an OpenAPI file and get a hosted MCP server that exposes your API to Claude, ChatGPT, Cursor and custom agents as named tools. Every agent gets its own key, writes can require confirmation, and every call is logged.

Source
Output
Ready in about 30 s
Or start from
  • Your files are parsed in your browser and never uploaded.
  • Code export on every plan. You own what you generate.

Your generated API

https://clinic.apigenerator.ai

  • Parsing source
  • Inferring resources
  • Designing endpoints
  • Writing docs
  • Building MCP tools

                            

Request


                                

Response


                            

Create your account to see every resource, run the tests, export the code and deploy this API.

A spec to server script is not a product you can hand to customers

Open source converters turn a spec into a local process in an afternoon. Then the questions start. Who holds the upstream token. Which agent is allowed to cancel an order. What happened at 3 a.m. when a model called the refund endpoint twelve times. A converter that stops at code generation leaves those answers to you.

What the OpenAPI to MCP server converter does

  • Reads OpenAPI 3.0 and 3.1 in JSON or YAML, including references, enums and nested schemas.
  • Turns each operation you choose into a tool, named from the operationId and described from the summary.
  • Merges path, query and body parameters into one input schema the model can fill in.
  • Forwards calls to your live API, so your backend and data stay where they are.
  • Issues one key per agent with its own tool list and rate limit.
  • Asks for a human confirmation on the operations you flag as destructive.
  • Logs every call with key, tool, arguments, status and latency.

From spec to connected agent in four steps

  1. Upload your OpenAPI file or paste its URL.

  2. Pick the operations that should become tools, and rewrite names and descriptions where the spec is vague.

  3. Add the upstream base URL and credentials, then deploy to managed hosting or export the server.

  4. Paste the server URL and an agent key into Claude, Cursor or your own client.

Teams with an API that agents now need to use

  • SaaS companies whose customers ask for an official MCP server next to the REST API.
  • Platform teams that need one governed way to give internal agents access to internal services.
  • Agencies that wrap a client API for an assistant and need keys and logs per client.
  • API product owners who want agent traffic metered and priced like any other consumer.

Open source converter or hosted generator

A script is the right choice for a personal tool on your own machine. The table is about what changes when real customers or real money are behind the API. The same file also produces docs and a mock server, see openapi generator.

Topic Script based converter Generated with APIGenerator
Output Code you run and patch yourself Hosted server or exportable code
Agent access Shared upstream token One key per agent, own tool list
Write protection You add it Confirmation flag per operation
Audit trail Console output Log per call
Spec changes Regenerate and redeploy by hand Re-upload, review the diff, redeploy
Best for A local experiment Agents that touch customer systems

Where to go next

New to the idea? Read how operations map to tools and what to fix in a spec first. To serve many agents behind one endpoint, see the mcp gateway. Building from a description instead of a spec? Use the custom mcp server page.

Questions about OpenAPI to MCP conversion

Yes. APIGenerator reads OpenAPI 3.0 and 3.1 in JSON or YAML, resolves references, and turns each operation you select into one MCP tool with an input schema built from its parameters and request body.

Yes. The generated server forwards each tool call to your live API using the base URL and credentials you set. Your backend stays where it is, and the agent never sees the upstream secret.

Leave destructive operations switched off, or mark them as needing confirmation. Each key carries its own tool list, so a read only agent cannot call a delete even if it tries.

Start with 10 to 30 that match real tasks. Models pick the wrong tool more often as the list grows, so group related operations and leave out admin and internal routes.

Give agents your API with limits you control

Upload your spec and see the generated tools before you pay for anything.