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  • Aug 27, 2025

    Build Slack agents with @vercel/slack-bolt

    We've published @vercel/slack-bolt, a library for building and deploying robust Slack agents to Vercel's AI Cloud.

    It works with any framework or function that uses the Node.js Request object.

    api/slack/events.ts
    import { App } from "@slack/bolt";
    import { generateText } from "ai";
    import { VercelReceiver, createHandler } from "@vercel/slack-bolt";
    const receiver = new VercelReceiver();
    const app = new App({
    token: process.env.SLACK_BOT_TOKEN,
    signingSecret: process.env.SLACK_SIGNING_SECRET,
    receiver,
    deferInitialization: true,
    });
    // listening to Slack messages
    app.event("message", async ({ say, message }) => {
    const { text } = await generateText({
    model: "openai/gpt-5",
    prompt: `Respond to the user's message: ${message.text}`,
    });
    // responding to Slack
    await say(text);
    });
    export const POST = createHandler(app, receiver);

    Listen to Slack messages and respond using the AI SDK

    Deploying your Slack agent to Vercel gives you full access to primitives like Fluid compute, AI SDK, and AI Gateway. Learn more about the AI Cloud here.

    Slack Agent Template

    Get started building your Slack agent on Vercel

    Deploy Now

    Get started with our Slack Agent Template today or visit the library on npm.

    Matt Lewis

  • Aug 26, 2025

    30-day runtime log retention, now available in Observability Plus

    Teams with Observability Plus now have 30 days of runtime log retention. These logs generated by requests Vercel Functions and Routing Middleware invocations, static requests served from cache, and more.

    You can view, query, inspect, and share up to 14 consecutive days.

    This extended retention is available at no additional cost for Pro and Enterprise plans with Observability Plus enabled.

    Try it out or learn more about Runtime Logs.

    Damien Simonin Feugas, Timo Lins, Malavika Tadeusz

  • Aug 25, 2025

    Devin, Raycast, Windsurf, and Goose now supported on Vercel MCP

    You can now use Devin, Raycast, Windsurf, and Goose with Vercel MCP, our official Model Context Protocol (MCP) server. For security, Vercel MCP currently supports AI clients that have been reviewed and approved by Vercel.

    Follow the steps below to get started with each client:

    Devin

    1. Navigate to Devin's Settings > MCP Marketplace

    2. Search for Vercel and select the MCP

    3. Click Install

    Raycast

    1. Run the Install Server command

    2. Enter the following details:

      • Name: Vercel

      • Transport: HTTP

      • URL: https://mcp.vercel.com

    3. Click Install

    Windsurf

    1. Add the snippet below to your mcp_config.json file

    {
    "mcpServers": {
    "vercel": {
    "serverUrl": "https://mcp.vercel.com"
    }
    }
    }

    Goose

    1. Click here for a one-click installation of the Vercel MCP.

    With Vercel MCP you can give agents access to protected deployments, analyze build logs, and more.

    Read more about using AI tools with Vercel MCP.

    Connect to Vercel MCP

    Read the docs to learn more about the server

    Get started

    +3

    Brooke M, Anthony S, Andrew Q, Mark R, Allen Z

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