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Use createVercelAiMcpClient to connect Corsair to the Vercel AI SDK via HTTP transport. Unlike the direct SDK adapters, Vercel AI connects over HTTP — you expose Corsair as an MCP server endpoint and the client connects to it.

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Install

npm install ai @ai-sdk/mcp

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Server

Expose Corsair as an MCP HTTP endpoint using createBaseMcpServer and createMcpRouter.
server.ts
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'));

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Client

Connect from your Vercel AI application using createVercelAiMcpClient.
agent.ts
import { generateText } from 'ai';
import { anthropic } from '@ai-sdk/anthropic';
import { createVercelAiMcpClient } from '@corsair-dev/mcp';

const client = await createVercelAiMcpClient({
    url: 'http://localhost:3000/mcp',
});

const tools = await client.tools();

const { text } = await generateText({
    model: anthropic('claude-sonnet-4-6'),
    tools,
    prompt: 'Setup corsair, then list all Slack channels.',
    maxSteps: 10,
});

console.log(text);
await client.close();
createVercelAiMcpClient returns a client that speaks the MCP protocol over HTTP. Call client.tools() to retrieve the tool definitions, then pass them to any Vercel AI generateText or streamText call.