How to Use the Bitly MCP in Vercel AI SDK

Q: How do I handle Bitly link shortening inside a streaming Vercel AI SDK chat?

You pass the tools directly to streamText. The SDK calls shortenurl in the background and pipes the resulting link straight to your UI. Remember to call mcpClient.close() when the stream finishes to free up resources.

Q: Can I render live Bitly click charts using Vercel AI SDK UI components?

Yes, you can. Use the getclicks tool within your tool call handlers to stream raw numeric data directly into your React charting library. This keeps your interface interactive while the model fetches performance data.

Q: How does the Vercel AI SDK manage authentication for the Bitly MCP Server?

Vinkius handles the underlying token exchange via an authProvider configuration. You configure your single Vinkius endpoint token once, and your TypeScript code stays clean of raw API keys.

Stream Bitly link generation and live click tracking directly into your React UI with the Vercel AI SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Bitly MCP to Vercel AI SDK

Create your Vinkius account to connect Bitly to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Bitly with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Live-streamed link shortening inside your Vercel AI SDK app

Stop making users wait for a loading spinner when shortening URLs. This MCP Server lets your AI client generate short links in real-time by calling `shorten_url` and piping the output straight to your Next.js frontend. The UI updates instantly as the model runs. You can show the shortened URL or trigger `update_bitlink` to rename it based on user feedback without a single page refresh.

Real-time click analytics rendered on the edge

Fetch and display live traffic data by calling `get_clicks` directly within your streaming components. Your Edge Functions handle the request instantly, letting the agent pull fresh analytics without slowing down your app's main thread. Break down the traffic further by triggering `get_countries` or `get_referrers` to build instant, interactive charts. Your users see the data populate piece by piece as the Vercel AI SDK streams the raw JSON payload.

Dynamic QR code generation in your chat interface

Let your agent build physical touchpoints on the fly. When a user asks for a shareable asset, the model calls `create_qr_code` and immediately streams the raw image data or link into your React layout. You don't have to write any custom API glue code. The MCP client handles the translation, making visual assets instantly renderable in your chat bubbles.

Setup guide

Set up Bitly MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Bitly tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Bitly transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Bitly. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Bitly now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Bitly MCP in Vercel AI SDK

You pass the tools directly to `streamText`. The SDK calls `shorten_url` in the background and pipes the resulting link straight to your UI. Remember to call `mcpClient.close()` when the stream finishes to free up resources.

Yes, you can. Use the `get_clicks` tool within your tool call handlers to stream raw numeric data directly into your React charting library. This keeps your interface interactive while the model fetches performance data.

Vinkius handles the underlying token exchange via an `authProvider` configuration. You configure your single Vinkius endpoint token once, and your TypeScript code stays clean of raw API keys.

Absolutely. The server runs in a secure, lightweight sandbox, allowing your edge routes to call tools like `list_bitlinks` without hitting cold start delays.

Every request runs in an isolated V8 sandbox on Vinkius, meaning your destination URLs and traffic metrics are never stored or logged on our platform. The raw data passes directly between the API and your application runtime.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript