What is MCP‑Builder.ai?

MCP‑Builder.ai is a no-code tool that connects your AI application to any API — instantly. Just upload your API documentation (e.g. OpenAPI), and we generate a fully functional MCP‑Server for you in seconds. The platform also supports secure authentication, plus connections to databases, XML files, file systems, and other data sources.

What is an MCP‑Server?

An MCP‑Server acts as a bridge between your existing IT infrastructure (APIs, databases, files, etc.) and AI-powered applications. It makes your internal tools and data accessible to AI models, so they can interact with them securely and reliably — like giving your AI a 'USB port' to plug into your system.

What types of data sources can I connect?

You can connect almost anything — including: - REST and GraphQL APIs - SQL & NoSQL databases (PostgreSQL, MongoDB, etc.) - Cloud services like GitHub, Slack, Notion - XML files, local or cloud file systems - Internal scripts, logs, CLI tools, and more

Which transport protocols are supported?

We currently support: - STDIO - SSE (Server‑Sent Events) - HTTP‑Streamable (coming soon) Learn more about transport layers in the official MCP Transport Specification: https://modelcontextprotocol.io/specification/2025-06-18/basic/transports

Can I integrate the MCP‑Server with my OpenAI SDK?

Yes — MCP‑Servers work out of the box with OpenAI SDKs that support the Model Context Protocol. You can plug them directly into your agent workflows.

What capabilities does MCP‑Builder support?

MCP‑Builder currently focuses on tool exposure (API, database, and system integrations). Prompt templates and custom resource handling are coming soon. See the full feature spec: https://modelcontextprotocol.io/specification/2025-06-18/server

What authentication does it support?

MCP‑Builder supports OAuth 2.0 and API key authentication out of the box. You can configure these methods directly within your server's settings to control access for users or clients. For advanced use cases, we also support custom auth logic through YAML or programmatic extensions.

Can I build an MCP‑Server using frameworks myself?

While we definitely recommend using MCP‑Builder.ai to save yourself the hassle 😄, you can also build an MCP server from scratch. Frameworks like FastAPI, Spring Boot, and others already support MCP‑style implementations.

Can I cancel at any time?

Yes. All plans are monthly, with no lock-in. Cancel anytime directly from your dashboard.

Can I export or migrate my MCP‑Server?

Yes — you can export your full MCP server configuration to run it on your infrastructure. Note: MCP‑Builder creates infrastructure and config — not custom source code — so there's no traditional codebase to export.

Can I generate an MCP‑Server from an existing OpenAPI specification?

Absolutely — that's actually the easiest way to get started. Just drag and drop your OpenAPI file on our site, and we'll take it from there.

How MCP-Builder.ai works

Learn how to build and deploy MCP-Servers with MCP-Builder.ai

What is MCP?

The Model Context Protocol (MCP) is a new protocol designed to connect your LLM and AI Agents to your infrastructure. It helps you trigger real actions in your AI agents, enabling them to interact with your data and systems seamlessly.

This powerful protocol bridges the gap between AI models and real-world applications, allowing your agents to perform meaningful tasks beyond simple text generation.

This video explains what MCP is and shows you how to build your first server

Getting Started with MCP-Builder.ai

Upload API Documentation

Simply drag and drop your API documentation files (JSON or YAML format) to get started. Our AI will analyze your API endpoints and generate the MCP server configuration automatically.

Select Operations for Your MCP-Server

Choose which API operations you want to include in your MCP server. Select all the endpoints that your AI agents will need to interact with.

💡 Pro tip: For complex logic, authentication, testing, and verifications, switch to Advanced Setup to access advanced configuration options.

Choose How to Deploy Your MCP-Server

Select your preferred deployment method based on your needs:

Local STDIO

Direct integration

On-Premise SSE

Server-sent events

Cloud SSE

Hosted solution

Integrate to Your AI Application

Connect your MCP server to your preferred AI application like Claude Desktop, Cline, or other MCP-compatible tools. Follow the provided integration snippets to complete the setup.

See how to build your First MCP-Builder.ai

This video shows you how to build your first MCP server with MCP-Builder.ai

Ready to Get Started?

Create your first MCP server today and connect your AI agents to real-world data and actions.

Start Building