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Custom MCP Server Generated From Your Schema or Spec

Describe your data or upload a schema or OpenAPI file, and APIGenerator generates an MCP server whose tools mirror your endpoints. Host it with keys and logs, or export the code.

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.

What a generated custom MCP server includes

  • Tools for list, read, create, update and delete on every resource, plus custom actions such as book or approve.
  • Resources that expose records and schemas for context.
  • Tool names, descriptions and argument schemas written for language models, not only for humans.
  • Input validation identical to the REST or GraphQL API, so agents cannot send what an app could not.
  • A key per agent, rate limits and call logs.

Start from any source

  1. A plain English description of the system.

  2. SQL DDL or a Prisma schema. See api database.

  3. An OpenAPI file of an API you already run. Read turn an OpenAPI spec into an MCP server.

  4. A CSV or XLSX sheet.

Hosted MCP server or your own code

Hosted servers run with HTTPS and appear behind the mcp gateway. Exported servers come as a Node.js TypeScript or Python project with tests, ready for your own infrastructure.

Hand-written MCP server vs generated

Topic Hand-written APIGenerator
Tool definitions Written and updated by hand Derived from the endpoints
Validation Duplicated from the API Shared with the API
Keys and limits Built separately Included
Schema changes Break tools silently Update tools together

Questions about mcp server generator

No. APIGenerator generates the API and the MCP server together from a description, schema or sheet. If you already have an API, start from its OpenAPI file.

Node.js TypeScript or Python, with a Dockerfile and tests.

A server that exposes tools and data to AI agents over the open Model Context Protocol. Read what is an MCP server.

Generate your custom MCP server

Paste a schema or a spec and see the tools in seconds.