Your API already does the work. Now let AI agents call it.

The fastest way to expose existing APIs as secure Model Context Protocol (MCP) servers.

Platform layer

Every SaaS Will Need an MCP Server.

What looks like one endpoint is actually ten separate systems.

What you think it takes

1

Endpoint

{ "action": "send_invite" }
Becomes

What it actually takes

1

Separate systems

Tool generation
Authentication
AI-friendly schemas
Hosting
Monitoring
Scaling
Versioning
Custom domains
Security
Client compatibility
Production gap

That's months of engineering before customers can use a single AI action.

0mcp handles the platform so your team can focus on your product.

The short path

From API to AI in Minutes

0mcp turns your API into a hosted MCP endpoint that AI agents can call.

Import

Bring your OpenAPI spec or API contract.

Configure

Choose tools, set permissions, and validate.

Deploy

Get a hosted MCP endpoint ready for AI agents.

mcp.yourdomain.io

That's it.

Just your API, ready for agents.

No infrastructure
No maintenance
AI-ready

Core capabilities

Built for Production from Day One

Import OpenAPI

Import OpenAPI

Generate AI-ready tools directly from your existing API specification.

Interactive Tool Testing

Interactive Tool Testing

Verify every tool with live requests before making it available to AI clients.

Your Authentication, Your Rules

Your Authentication, Your Rules

Keep users, permissions, and security exactly where they belong in your existing backend.

Isolated MCP Servers

Isolated MCP Servers

Create separate environments for customers, partners, internal teams, or different products.

Production Observability

Production Observability

Monitor health, latency, failures, and usage with complete operational visibility.

Safe, Continuous Updates

Safe, Continuous Updates

Deploy API changes and new tools without disrupting connected AI applications.

Security

Your Proxied Payloads Stay Out of 0mcp Storage.

0mcp stores API specifications, configuration, account data, and operational metadata—not upstream credentials or proxied request and response bodies.

Request path

AI Client

An agent calls the MCP tool your user allowed.

Initiates request

0mcp Proxy

Request and response bodies and upstream credentials are relayed without being persisted. Operational metadata is retained for reliability.

Payloads not stored

Your API

Your infrastructure handles auth, logic, and data - 0mcp never becomes the source of record.

Source of record
Credentials
Request bodies
Response payloads
Business data

Only reliability signals remain

We keep status codes, latency, and error rates so your team can monitor production health.

Honest comparison

Why Not Build It Yourself?

Comparison of using 0mcp with building and operating an MCP platform in-house
Feature0mcpBuild in-house
Time to deployGuided setupCustom implementation
Developer resourcesNo MCP protocol codeEngineering required
Server maintenanceManaged by 0mcpTeam-owned
Multiple servers & workspacesPlan-basedCustom infrastructure
Custom domain supportManual setup
Zero-downtime version controlManual rollouts
Stateless security proxy
Interactive testing console

FAQ

Before You Get Started

0mcp is a managed platform that transforms an existing OpenAPI specification into a hosted MCP server.

  • Conversion
  • Hosting
  • Security
  • Monitoring
  • Versioning
  • Deployment

Your APIs become accessible to AI clients without building MCP infrastructure yourself.

The Model Context Protocol (MCP) is an open standard that enables AI applications to securely discover and interact with external:

  • Tools
  • Resources
  • Prompts

Compatible clients include Claude, ChatGPT, Cursor, VS Code, and other MCP-compatible applications.

No. Your existing backend and business logic remain unchanged.

  • Import your OpenAPI specification
  • Choose the endpoints you want to expose
  • Deploy your MCP server

Any client that supports the Model Context Protocol can connect to your MCP server, including:

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Gemini
  • Codex
  • Your own AI applications
  • many more which support MCP

No. Your APIs remain the source of truth.

0mcp forwards requests securely to your backend and does not store API request or response payloads.

Only operational metadata, such as request status, latency, and errors, is collected for monitoring and reliability.

Yes. 0mcp works with your existing authentication and authorization model.

  • Users
  • Roles
  • Permissions
  • OAuth
  • API keys

Requests are securely forwarded to your backend, allowing you to continue using your current security mechanisms.

Yes. You choose exactly which API endpoints become MCP tools.

Internal, administrative, or sensitive endpoints remain private unless you explicitly publish them.

0mcp provides operational features for deployed MCP workloads, including:

  • Managed hosting
  • Versioning
  • Custom domains
  • Observability
  • Authentication forwarding
  • Managed infrastructure

Teams should validate their own API behavior, access controls, and service requirements before serving customer traffic.

Getting started follows three steps:

  • Import an OpenAPI specification
  • Configure the endpoints you want to expose
  • Deploy the MCP server

Still something on your mind?

Get started

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