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-Server and AI Agents 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

Build fully working AI Agents with integrated chat interfaces, or create standalone MCP-Servers to integrate with your own client applications.

Choose if you want to build an AI Agent or only need a MCP-Server

Start by selecting your project path. Build a complete AI Agent with an integrated chat interface for end-users, or create just the MCP-Server component to integrate with your existing client applications.

AI Agent + MCP-Server

Fully working agent with chat interface ready to use

MCP-Server Only

Server component to integrate with your own client

Connect with your System

Choose from our extensive list of pre-built connectors for popular services, or bring your own REST API. MCP-Builder.ai supports any REST API, making it easy to connect your agent to your existing infrastructure.

💡 Universal Support: We support every REST API - whether it's a third-party service or your own custom backend.

Configure your Server & Client

Enable the API operations you want to make available to your agent. Set up security providers like OAuth 2.0 or API Keys to protect your endpoints. Fine-tune your agent's behavior and select the optimal LLM model for your use case.

💡 Pro tip: Take advantage of advanced configuration options to set up authentication, custom logic, and testing scenarios for production-ready agents.

Start Chatting or Integrate with your Client

For AI Agents, you'll receive a direct URL to start chatting with your system immediately. For MCP-Server only projects, you'll get integration instructions to connect the server with your LLM client like Claude Desktop, Cline, or any other MCP-compatible application.

Local STDIO

Direct integration

On-Premise SSE

Server-sent events

Cloud SSE

Hosted solution

See how to build your First MCP-Server

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

Ready to Get Started?

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

Start Building