> ## Documentation Index
> Fetch the complete documentation index at: https://docs.corsair.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# OpenAI

> Connect Corsair to the OpenAI API over HTTP.

Use `getOpenAIMcpConfig` to connect Corsair to the [OpenAI API](https://platform.openai.com/docs) via HTTP transport.

Like Vercel AI, OpenAI's MCP support connects over HTTP — you expose Corsair as an MCP server endpoint and pass the config to the OpenAI client.

## Install

```bash theme={null}
npm install openai
```

## Server

Expose Corsair as an MCP HTTP endpoint using `createBaseMcpServer` and `createMcpRouter`.

```ts server.ts theme={null}
import express from 'express';
import { createBaseMcpServer, createMcpRouter } from '@corsair-dev/mcp';
import { corsair } from './corsair';

const app = express();
app.use(express.json());

app.use('/mcp', createMcpRouter(() => createBaseMcpServer({ corsair })));

app.listen(3000, () => console.log('MCP server running on :3000'));
```

## Client

```ts agent.ts theme={null}
import OpenAI from 'openai';
import { getOpenAIMcpConfig } from '@corsair-dev/mcp';

const client = new OpenAI();

const response = await client.responses.create({
    model: 'gpt-4.1',
    tools: [
        {
            type: 'mcp',
            ...getOpenAIMcpConfig('http://localhost:3000/mcp'),
        },
    ],
    input: 'Setup corsair, then list all Slack channels.',
});

console.log(response.output_text);
```

`getOpenAIMcpConfig` returns the `serverLabel` and `serverUrl` fields expected by OpenAI's `mcp` tool type.