Import OpenAPI
Convert an existing OpenAPI specification into AI-ready MCP tools instead of defining each tool by hand.
0mcp
0mcp is a managed platform that turns an existing OpenAPI specification into a hosted MCP server for AI clients. It helps teams expose selected API endpoints to MCP-compatible applications without building protocol infrastructure themselves.
Hosted MCP servers for existing APIs
0mcp is a managed platform for turning an existing API into a hosted Model Context Protocol (MCP) server. It is positioned for teams that want AI clients to call their API without building MCP infrastructure, protocol handling, or hosting from scratch.
The workflow is straightforward: import an OpenAPI specification or API contract, choose the endpoints and permissions you want to expose, test the tools, and deploy a hosted MCP endpoint. The source also emphasizes that your backend remains the source of record, while 0mcp forwards requests securely and keeps operational metadata for monitoring.
Core capabilities
Configure exposed tools
Choose which endpoints become available to AI clients and validate them before exposing them in production.
Interactive tool testing
Run live requests against tools before making them available, which helps verify behavior and permissions early.
Authentication forwarding
Use your existing authentication and authorization model, including users, roles, permissions, OAuth, and API keys.
Isolated MCP servers
Deploy separate MCP servers for customers, partners, internal teams, or different products from the same platform.
Production observability
Monitor health, latency, failures, and usage, while retaining only operational metadata rather than request or response payloads.
Practical use cases
Expose an existing API to AI clients
Publish an existing API for AI assistants without rebuilding the backend, so product teams can expose a controlled subset of functionality as MCP tools.
Segment access by audience
Create a separate server for customers, partners, or internal teams when different audiences need different tools or permissions.
Validate tools before production
Test tool behavior with live requests before rollout, which is useful when teams want to verify tool responses and permissions before connecting AI applications.
Operate a production MCP server
Use the platform for a production MCP deployment where observability, versioning, and custom domains matter more than a one-off prototype.
Pros and Cons
Pros
- Converts an existing OpenAPI specification into a hosted MCP server.
- Lets teams select only the endpoints they want to expose to AI clients.
- Works with existing authentication and authorization models.
- Supports managed hosting, versioning, custom domains, and observability for deployed MCP workloads.
- Does not store API request or response payloads; only operational metadata is retained.
Cons
- The source does not specify a full list of supported OpenAPI versions or other contract formats.
- Pricing is capability-based, but the public pages shown here do not include exact plan prices or allowance amounts.
- Teams still need to validate their own API behavior, access controls, and service requirements before serving customer traffic.
FAQ
What is 0mcp?
0mcp is a managed platform that converts an existing OpenAPI specification into a hosted MCP server. You import your API, choose the endpoints to expose, and deploy the server for AI clients to call.
Do I need to change my existing API?
Yes. The source says you can bring your OpenAPI spec or API contract, select the endpoints you want to expose, and deploy without modifying your existing backend.
Which AI clients can connect to it?
0mcp is presented as compatible with any MCP client, including Claude, ChatGPT, Cursor, VS Code, Windsurf, Gemini, Codex, and other MCP-compatible applications.
Does 0mcp store my API data?
No. 0mcp forwards requests to your backend and does not store API request or response payloads. It retains only operational metadata such as status, latency, and errors for monitoring and reliability.
How do you get started?
The source says getting started follows three steps: import an OpenAPI specification, configure the endpoints you want to expose, and deploy the MCP server.
Quick Facts
- Category
- Developer Tool
- Product model
- Managed platform / hosted service
- Primary workflow
- Import OpenAPI, configure endpoints, deploy MCP server
- Supported client model
- Any MCP-compatible AI client
- Source domain
- 0mcp.io
- Pricing shape
- Capability-based billing with additional packs available
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