Vercel AI SDK

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.

Install

npm install ai @ai-sdk/mcp

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'));

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.

Vercel AI SDK

Install

Server

Client

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