Your API is Now AI-Ready: Announcing the liblab MCP Generator

The way we interact with digital services is changing. While traditional API consumption has been dominated by direct calls, SDKs, and custom GUIs, a new, powerful interface has emerged: conversational AI.

Until now, connecting your API to this new world of AI chat has been a complex challenge. Today, we’re excited to introduce a product that makes it simple: the liblab MCP Generator.

A New Channel for Your API: Conversational AI

For years, companies with APIs had three main ways to expose their services:

1. Raw API Requests: Using cURL or tools like Postman for direct, technical interaction.
2. SDKs: Providing Software Development Kits for developers to integrate the API into their applications.
3. GUIs: Building a graphical interface on a website or app for user-friendly, structured access.

Now, there’s a fourth way: allowing users to interact with your API directly from a chat interface, using natural language.

Understanding MCP: The Bridge Between Your API and AI

Large Language Models (LLMs) are incredibly powerful, but they operate within a "black box," unable to perform real-world actions or access live data on their own. This is where the concept of "tool use" comes into play. You can provide an LLM with a set of "tools"—functions it can call to accomplish specific tasks.

The Model-Context-Protocol (MCP) is a standard that acts as a "tool-use router." It's a built-in mechanism for an LLM client to discover which tools are available and select the right one to execute based on a user's request.

Let's use an example to illustrate. Imagine your API offers a function:

• get_weather_by_city(city): Takes a city and returns the current weather data.

When a user asks an AI agent, "What's the weather like in Austin?", the agent, aware of your tools via MCP, recognizes it can answer by calling your get_weather_by_city("Austin") function. The MCP client passes this request to your tool's implementation. Your code might then return a raw data object like {"temperature": "78", "condition": "sunny"}.

This is where MCP's power shines. Instead of just showing the raw JSON, the system processes the tool's response and delivers a human-friendly answer within the context of the chat, like: "The weather in Austin is currently 78°F and sunny."

MCP effectively bridges the gap between your API's powerful functionality and a user's natural language.

From API Specs to AI Tools: The liblab Advantage

At liblab, our specialty is generating developer tools from API specifications. Our engine is best-in-class at understanding your OpenAPI, Swagger, or Postman file to auto-generate bespoke SDKs in multiple languages.

Today, we're taking this capability one step further. We're connecting these SDKs directly to a dedicated MCP server that we generate for you.

How It Works

Getting started is remarkably fast and simple.

1. Provide your API specification file.
2. We automatically analyze your API's endpoints, parameters, and responses.
3. In seconds, we generate a complete MCP server, which you can download as a zip file to run locally or deploy as a remote server.

Behind the scenes, this MCP server uses a newly generated liblab SDK and enriches it with the necessary MCP-specific metadata and context.

The complete request flow is seamless:

MCP Client (e.g., Claude, Cursor, OpenAI) → liblab MCP Server → liblab SDK → Your API Endpoint

See it in Action

By generating an MCP server with liblab, you expose your API to an entirely new set of functionalities. Now, your customers, your internal teams, and your developer community can simply "speak" to your API using natural language.

We are incredibly excited about this launch as it brings your APIs to a new audience, through a new interface, unlocking unlimited potential.

Try it now. Generate an MCP server for your API in 30 seconds. No credit card is required, and our generous free tier makes it easy to explore. We look forward to hearing what you think!

Ready to give it a spin? Visit the liblab MCP documentation to learn more about MCPs or check the guide on how to Generate an MCP Server with liblab to generate your first MCP server today.