ZuploZuplo
LoginStart for Free
  • Documentation
  • API Reference
Introduction
Getting Started
    Develop on the web portal
      1 - Setup Your Gateway2 - Rate Limiting3 - API Key Auth4 - Deploy5 - Dynamic Rate LimitingDynamic MCP Server - Quickstart
    Develop locally with the CLI
      1 - Setup Your Gateway2 - Rate Limiting3 - API Key Auth4 - Deploy5 - Dynamic Rate LimitingDynamic MCP Server - Quickstart
Concepts
Development
Policies
Handlers
API Keys
MCP Server
MCP Gateway
AI Gateway
Developer Portal
Monetization
Deploying & Source Control
Observability
Networking & Infrastructure
Account Management
Programming API
Build with AI
Zuplo CLI
Migration Guides
Platform LimitsSecuritySupportTrust & ComplianceChangelog
powered by Zudoku
Develop locally with the CLI

Dynamic MCP Server - Quickstart

Zuplo allows you to instantly add a managed MCP Server to your existing API, powered by OpenAPI. In this guide we'll build one locally using the Zuplo CLI.

If you're not familiar with Zuplo, it's recommended to go through Step 1 first.

  1. Create a new project

    Create a new project and start the local development server:

    TerminalCode
    npx create-zuplo-api@latest cd example-project npm run dev

    See Step 1 for a walkthrough of the create-zuplo-api prompts.

  2. Test the Get all todos route

    The default template ships with a working todo API. Open the local Route Designer at http://localhost:9100, select the Get all todos route, and click the Test button next to the Path field.

    A test dialog will open, click Test and you should see a 200 OK response with a few todos.

    This is the basic API we're going to turn into a fully functioning MCP Server.

  3. Create an MCP Server

    On your routes.oas.json file, choose Add and then MCP Server.

    Add Route

    A new route will appear. Confirm the following values:

    • Summary: enter MCP Server
    • Method: choose POST
    • Path: enter /mcp (the path can be anything, but /mcp is common)

    Click the Select Tools option for your new MCP Server endpoint.

    Select Tools

    You should see the MCP tools dialog. Check the tools from your *.oas.json files that you want to surface in your MCP Server.

    MCP Server

    Click Update Tools, then click Save at the bottom left. Congratulations, you just published your first MCP Server! It's now available locally at http://localhost:9000/mcp.

  4. Connect an MCP Client

    You can connect any MCP client that can reach your local gateway. The AI coding agent you configured in Step 1 (such as Claude Code or Cursor) is a great option — point it at your local MCP server URL:

    Code
    http://localhost:9000/mcp

    Since we didn't add authentication to our API, no credentials are required.

    Using a cloud MCP client

    Cloud clients like the OpenAI playground can't reach localhost. To use one, deploy your project first — see Step 4 — and use your deployed MCP server URL instead.

  5. Test your MCP Server

    Prompt your MCP client to:

    list out all the todos

    The client should recognize that it needs to call the todos MCP Server. Approve the tool call and you should see the todos listed 👏

Congratulations! Now go read more about the MCP Server handler.

Edit this page
Last modified on May 31, 2026
5 - Dynamic Rate LimitingHow Zuplo Works