How to Use the Bitbucket MCP in Vercel AI SDK

Q: How do I show Bitbucket PRs in my Vercel AI SDK app?

Use the listpullrequests tool within your streamText call. The Vercel AI SDK handles the payload mapping automatically.

Stream real-time Bitbucket data directly into your Vercel AI SDK frontends without the wait.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Bitbucket MCP to Vercel AI SDK

Create your Vinkius account to connect Bitbucket 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.

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Setup Bitbucket with Vercel AI SDK

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Live Bitbucket data in your Vercel AI SDK UI

Your React or Next.js app renders `list_pull_requests` data as it arrives. You skip the loading spinner entirely. Users see the status of their repository updates the moment the agent finishes the fetch.

Manage workflows with Bitbucket tools

Call `get_repository` or `list_pipelines` inside your edge functions. This MCP Server handles the connection logic for you. Your code stays clean while the agent interacts with your source control directly.

Typed Bitbucket access for TypeScript developers

Get full TypeScript support when you pass `list_commits` into your generateText calls. Your IDE knows exactly what data to expect. Stop guessing the schema and start building features that work on the first try.

Setup guide

Set up Bitbucket 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 Bitbucket 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 Bitbucket 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 Bitbucket. 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 Bitbucket 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 Bitbucket MCP in Vercel AI SDK

Use the `list_pull_requests` tool within your streamText call. The Vercel AI SDK handles the payload mapping automatically.

Yes, provided the agent has the right permissions. You trigger `list_pipelines` to check status and initiate actions via the server.

No. Your credentials stay on the Vinkius server. We only pass execution tokens to your client.

It is designed for low latency. You get data chunks as they return from the source.

Your repository data is ephemeral. It resides in memory only during the active session and leaves no trace on our servers.

Use it with your favorite AI tools

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

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