Model Context Protocol Platform

Turn any REST API into an MCP server

API2MCP wraps your existing APIs as Model Context Protocol servers — so Claude, Cursor, and other AI agents can call them directly. Auto-discover endpoints from OpenAPI specs, manage credentials securely, and connect AI clients in minutes.

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Everything you need to bridge APIs and AI

Six core capabilities, one unified platform. Built for teams who want to expose their APIs to AI agents without writing custom MCP server code.

API Provider Management

Register any REST API with its base URL, OpenAPI spec, and authentication. Add as many as your tier allows.

One-Click MCP Servers

Wrap any registered provider as an MCP-compatible server with a unique URL and access token — no code required.

Automatic Tool Discovery

API2MCP parses your OpenAPI/Swagger spec and turns each endpoint into a structured MCP tool the AI can call.

Encrypted Credentials

API keys, bearer tokens, and OAuth secrets are encrypted at rest and injected server-side. AI clients never see your secrets.

Multiple Auth Types

Bearer tokens, API keys, and OAuth 2.1 — configure once and we handle the auth flow on every upstream request.

Usage Monitoring

Live dashboard of providers, servers, tools, and request volume. Stay inside your tier limits with real-time visibility.

From API to AI tool in five steps

No code, no glue scripts, no custom MCP server boilerplate.

  1. Register a provider
    Add your API's base URL, authentication, and OpenAPI spec.
  2. Create an MCP server
    Get a unique server URL and access token in seconds.
  3. Auto-discover tools
    Each endpoint becomes a structured MCP tool automatically.
  4. Connect your AI client
    Point Claude Desktop, Cursor, or any MCP client at your server.
  5. AI calls your API
    Credentials stay server-side. The AI sees tools and responses, never secrets.

Plans that scale with you

Start free. Upgrade when your AI agents start doing real work.

  • Free — $0/month: 2 MCP server connections, 1,000 requests/day, 10 req/min, 1 MB max payload, community support.
  • Pro — $39/month: 10 MCP servers, 25,000 requests/day, 100 req/min, 10 MB payload, AI Spec Discovery, full 30-day dashboard.
  • Business — $149/month: Unlimited MCP servers, 100,000 requests/day, 500 req/min, 25 MB payload, AI Spec Discovery.
  • Enterprise — custom: SSO/SAML, dedicated infrastructure, unlimited limits. Annual billing saves up to 17%.

Frequently asked questions

What is the Model Context Protocol (MCP)?

The Model Context Protocol (MCP) is an open standard that lets AI agents such as Claude and Cursor call external tools and APIs in a structured way. An MCP server exposes named tools; an MCP client discovers and invokes them. API2MCP implements the server side automatically from any OpenAPI or Swagger spec.

What is API2MCP?

API2MCP is a SaaS platform that wraps any REST API as an MCP server. You register your API's base URL, authentication, and OpenAPI spec; API2MCP turns each endpoint into a structured MCP tool and issues a server URL and access token. Claude Desktop, Cursor, and other MCP clients can then call your API — no MCP server code required.

How does API2MCP work?

Five steps: register a provider with its base URL, authentication, and OpenAPI spec; create an MCP server and get a unique URL and access token; endpoints auto-discover into MCP tools; point Claude Desktop, Cursor, or any MCP client at the server; the AI calls your API while credentials stay server-side.

Is API2MCP secure?

API keys, bearer tokens, and OAuth secrets are encrypted at rest and injected server-side on every upstream request. AI clients receive only the MCP tool responses, never the underlying credentials. Bearer token, API key, and OAuth 2.1 authentication flows are supported.

Which AI clients work with API2MCP?

Any MCP-compatible client works out of the box, including Claude Desktop, Cursor, and any agent implementing the MCP client specification. API2MCP issues a standard MCP server URL and access token you add to your client configuration.