Browserbear MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Browserbear through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Browserbear, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Browserbear MCP Server
Connect your Browserbear (Roborabbit) account to any AI agent and orchestrate your browser automation, web scraping, and visual monitoring workflows through natural conversation.
The Vercel AI SDK gives every Browserbear tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Task Oversight — List and retrieve detailed metadata for all your saved browser automation tasks.
- Automation Execution — Trigger task runs with dynamic overrides (like URL or form data) and monitor their progress.
- Visual Captures — Take high-quality screenshots of any URL with customizable dimensions and wait times.
- Data Extraction — Retrieve scraped structured data and screenshot URLs directly into your workspace.
- Run Management — List, inspect, and delete history of your automation runs.
- Project Coordination — Access and organize your tasks across multiple projects and track account usage.
The Browserbear MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Browserbear to Vercel AI SDK via MCP
Follow these steps to integrate the Browserbear MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Browserbear and passes them to the LLM
Why Use Vercel AI SDK with the Browserbear MCP Server
Vercel AI SDK provides unique advantages when paired with Browserbear through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Browserbear integration everywhere
Built-in streaming UI primitives let you display Browserbear tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Browserbear + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Browserbear MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Browserbear in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Browserbear tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Browserbear capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Browserbear through natural language queries
Browserbear MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Browserbear to Vercel AI SDK via MCP:
create_task
Create a new browser automation task
delete_run
Delete a task run record
get_account_usage
Retrieve account usage statistics
get_run
Get status and results of a task run
get_task
Get details of a specific task
list_projects
List all projects in the account
list_runs
List all task runs
list_tasks
List all browser automation tasks
run_task
Trigger a run for a specific task
take_screenshot
Take a quick screenshot of a URL
Example Prompts for Browserbear in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Browserbear immediately.
"List all my browser automation tasks."
"Take a screenshot of https://vinkius.com at 1280x800 resolution."
"Run task task_123 and override the starting URL to https://google.com."
Troubleshooting Browserbear MCP Server with Vercel AI SDK
Common issues when connecting Browserbear to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBrowserbear + Vercel AI SDK FAQ
Common questions about integrating Browserbear MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Browserbear with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Browserbear to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.