OpenAPI to MCP Server
OpenAPI MCP Server Generator
Convert your OpenAPI or Swagger specification into a secure, hosted MCP server in minutes.
Automatically turn API operations into MCP tools that Claude, ChatGPT, Cursor, Copilot and other AI clients can discover and use — without building or hosting an MCP server yourself.
Supports OpenAPI 3.x and Swagger 2.0.
Trusted by enterprises and SMEs
Turn OpenAPI into an MCP Server in Minutes
Your OpenAPI specification already describes your API. MCP-Builder transforms that specification into tools AI agents can understand and call through the Model Context Protocol.
Import your OpenAPI spec
Paste the URL of your OpenAPI specification or upload an OpenAPI or Swagger file.
MCP-Builder reads your API operations, parameters, request schemas and descriptions and uses them to create MCP tools.
Choose and configure your MCP tools
Review the generated tools before publishing.
Choose which API operations should be available to AI, adjust tool names and descriptions, configure authentication and refine behavior with the AI assistant.
You stay in control of exactly what your MCP server exposes.
Publish your hosted MCP server
Publish your configuration and receive a hosted MCP endpoint.
Connect it to Claude, ChatGPT, Cursor, Copilot or any other compatible MCP client without deploying or maintaining your own MCP infrastructure.
What Is an OpenAPI MCP Server?
An OpenAPI MCP server connects an API described by an OpenAPI specification with AI agents and applications that support the Model Context Protocol (MCP).
OpenAPI describes how an API works: its endpoints, operations, parameters, request bodies, authentication requirements and responses. MCP describes how AI applications can discover and use external tools.
An OpenAPI MCP server connects these two standards by transforming API operations into MCP tools that an AI agent can understand and call.
Instead of writing every MCP tool manually, MCP-Builder uses your existing OpenAPI or Swagger specification as the source of truth.
This means an existing REST API can become available to MCP-compatible AI applications without maintaining a second integration layer by hand.
How OpenAPI Becomes MCP Tools
For example, imagine your OpenAPI specification contains an operation like:
paths:
/customers/{customerId}:
get:
operationId: getCustomer
summary: Get a customer
parameters:
- name: customerId
in: path
required: trueMCP-Builder can expose that API operation as an MCP tool such as:
- Tool
- getCustomer
- Description
- Get a customer
- Input
- customerId
When an AI agent needs customer information, it can select the appropriate MCP tool, provide the required parameters and call your underlying API.
The same process can be applied across your OpenAPI specification, while allowing you to decide which operations should actually be exposed.
OpenAPI → MCP mapping
This allows your OpenAPI specification to remain the contract for both traditional API consumers and AI agents.
Connect Your OpenAPI MCP Server to Any AI Client
One OpenAPI specification. One MCP endpoint. Connect your API to the AI tools your teams already use.
Because MCP is an open protocol, you are not locked into a single AI application. Your MCP server can be used by compatible clients across development, automation and AI-agent workflows.
Hosted OpenAPI MCP Server — No Deployment Required
Generating MCP tools is only part of the job. A production MCP server also needs hosting, authentication, monitoring, scaling and ongoing maintenance. MCP-Builder handles the infrastructure so you can focus on deciding what your AI agents should be allowed to do.
Generate Instead of Hand-Coding
Turn your OpenAPI specification into an MCP server in minutes instead of manually implementing every tool and handler.
Hosted and Managed
Receive a hosted MCP endpoint without installing, deploying or monitoring your own MCP server.
Authentication Built In
Connect APIs secured with OAuth, API keys and JWT-based authentication.
Scale Without Managing Infrastructure
MCP-Builder hosts and operates the MCP infrastructure so you don't have to configure servers or scaling yourself.
OpenAPI MCP Generator vs. Building an MCP Server Manually
You can build an MCP server from an OpenAPI API manually. For simple APIs, this can be a reasonable option.
However, a custom implementation means maintaining another application alongside your API.
Building it yourself
You typically need to:
- —map API operations to MCP tools
- —create tool input schemas
- —implement HTTP requests to your API
- —manage authentication
- —decide which operations AI agents can access
- —deploy the MCP server
- —monitor it
- —update tools when your API changes
With MCP-Builder
MCP-Builder automates this workflow using your existing OpenAPI specification.
Import the specification, select and refine the tools you want to expose, configure security and publish a hosted MCP endpoint.
This is especially useful when your API contains many operations or when the OpenAPI specification changes regularly.
Secure by design
Secure Your OpenAPI MCP Server
Giving an AI agent access to an API requires more than generating tools. You also need control over authentication, permissions, credentials and activity. MCP-Builder is designed to let you expose APIs through MCP without giving up control over your underlying systems.
No Data Stored on Server
Your data is read at request time and forwarded — never persisted on our side.
Encrypted Connections
All connections use TLS and credentials are stored encrypted at rest.
OAuth, API Key, JWT
Authenticate with the method your API already uses.
Audit Logs
Every tool call is logged, so you know exactly which API operations AI accessed.
EU Hosting
Choose EU data residency for GDPR-aligned deployments.
On-Premises Options
Run the entire MCP server inside your own infrastructure if required.
When Should You Generate an MCP Server from OpenAPI?
An OpenAPI MCP server is useful whenever you already have an API and want AI agents to interact with it.
Internal APIs
Give employees and internal AI assistants controlled access to business systems without creating separate integrations for every AI client.
SaaS APIs
Make existing SaaS functionality available as MCP tools using the OpenAPI specification you already maintain.
Developer APIs
Allow developers to connect your API to MCP-compatible development tools and coding agents.
AI Agents
Expose selected API operations as tools that autonomous or semi-autonomous agents can discover and call.
Existing REST APIs
Add an MCP interface to an existing REST API without redesigning the underlying API. See how a REST API MCP Server works.
Frequently Asked Questions
Common questions about generating an MCP server from OpenAPI.
Backed & supported by
Trusted by enterprises and SMEs
Generate Your OpenAPI MCP Server
Turn your existing OpenAPI or Swagger specification into MCP tools and connect your API to AI agents in minutes.
- No manual MCP implementation.
- No server deployment.
- No separate integration for every AI client.
OpenAPI 3.x and Swagger 2.0 supported.