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Deploy hosted MCP servers from your OpenAPI spec

Turn your existing API into a production-ready MCP server in minutes — no infra to manage, built for agents.

Import your API Book a 15-min call

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mcpstack

OpenAPI wizard

Paste your spec to configure endpoints, auth, and hosting — then sign up to publish.

Try an example:Full-screen wizard

No MCP runtime to ship — just your OpenAPI.

No service accounts — OAuth 2.1, real users.

No agent code in your API — keep it pure REST.

How it works

OpenAPI to production MCP, in three steps.

No infrastructure to operate and no auth code in your backend — Agenetix runs the runtime, the gateway, and the logs.

Import your OpenAPI

Paste a URL or upload a spec. Agenetix generates typed MCP tools you can name, scope, and add instructions to.

Add OAuth with Gateway

Put Gateway in front and agents call your API as the signed-in user — your existing scopes and audit trail, no shared service accounts.

Connect agents & clients

Publish a stable MCP URL for Claude, Cursor, and ChatGPT — or embed an agent in your own app with the SDK.

Per-user identity, built in

Agents call your API as the signed-in user.

No shared service accounts. Gateway brokers OAuth and forwards each user's own access token to your API on every tool call — so your existing scopes, RBAC, and audit trail keep working.

A hosted MCP endpoint with OAuth 2.1, named users with per-user budgets, regional health, and an agent calling tools as the signed-in user.

OAuth 2.1 with protected-resource metadata and dynamic client registration
Per-user grants brokered and stored server-side, never in the browser
Static-header and public-API modes when you don't need user auth

Start free How the gateway works

Global edge MCP

Create once. Endpoints live near every agent.

Multi-region runtime with regional health, gateway routing, and tool-call telemetry — out of the box.

$mcpstack servers create --openapi-file api.yamlLive

Publish your API

@agenetix/agent-sdk

AG-UI agents for your app.

Pass your signed-in user, render <McpStackChat />, and the SDK talks AG-UI to the agent. Frontend tools run as frontend tools in your app; server MCP tools still execute through Gateway with user-scoped auth, budgets, logs, and permissions.

$npm install @agenetix/agent-sdk

App.tsx

import { McpStackChat } from "@agenetix/agent-sdk/react-embed";

<McpStackChat
  agentId="ag_invoices"
  apiKey={"mcpstack_pk_..."}
  userIdentity={{ subject: user.id, email: user.email }}
  frontendTools={frontendTools}
  auth={{
    mode: "app-token",
    getToken: async () => session.accessToken,
  }}
/>

Get an API key View on GitHub

Embedded AI assistant workspace using invoice tools with user context and trace information

Production-grade by default

Everything you need to run MCP in production.

Auth, hosting, and observability come standard — so you ship the integration, not the infrastructure.

OAuth 2.1 gateway

Protected-resource metadata, dynamic client registration, and per-user token brokering for external MCP clients.

Global edge hosting

Generated runtimes publish across managed edge regions behind a stable public MCP URL with TLS.

Request & tool-call logs

Every call traced with client, tool, auth state, latency, and status — in the dashboard, CLI, or API.

Agents with budgets

Configure prompts, models, and attached tools, then cap hosted AI spend per user with monthly budgets.

Frontend tools & app context

Expose app-local actions as AG-UI frontend tools while server-side MCP tools stay behind Gateway.

CLI & REST API

Create servers, publish, and stream logs with the mcpstack CLI or automate everything over REST.

Simple, usage-based

Publish MCP servers with OAuth in minutes.

Every plan includes a globally published MCP server — Agenetix runs the runtime in regions close to your agents, with a stable public MCP URL, OAuth, and request logs included.

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