Bitbucket 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 Bitbucket through the 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 Bitbucket, 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 Bitbucket MCP Server
Connect your Bitbucket Cloud account to any AI agent and orchestrate your software development workflows through natural conversation.
The Vercel AI SDK gives every Bitbucket tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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
- Repository Oversight — List all repositories within your workspaces and retrieve detailed metadata.
- Pull Request Management — Query and inspect pull requests to monitor code reviews and merge statuses.
- Commit & Branch Discovery — List the latest commits and active branches across your projects.
- CI/CD Monitoring — Retrieve the status of Bitbucket Pipelines to ensure successful builds.
- Issue Tracking — List and retrieve issues for repositories with enabled trackers.
- Workspace Coordination — Access and manage your team's workspaces and user profiles.
The Bitbucket 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 Bitbucket to Vercel AI SDK via MCP
Follow these steps to integrate the Bitbucket 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 Bitbucket and passes them to the LLM
Why Use Vercel AI SDK with the Bitbucket MCP Server
Vercel AI SDK provides unique advantages when paired with Bitbucket 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 Bitbucket integration everywhere
Built-in streaming UI primitives let you display Bitbucket 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
Bitbucket + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Bitbucket MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Bitbucket in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Bitbucket tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Bitbucket capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Bitbucket through natural language queries
Bitbucket MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Bitbucket to Vercel AI SDK via MCP:
get_pull_request
Get details of a specific pull request
get_repository
Get details of a specific repository
get_user_profile
Get authenticated user profile
list_branches
List branches for a repository
list_commits
List commits for a repository
list_issues
List issues for a repository (if tracker is enabled)
list_pipelines
List CI/CD pipelines for a repository
list_pull_requests
List pull requests for a repository
list_repositories
List repositories in a workspace
list_workspaces
List all accessible workspaces
Example Prompts for Bitbucket in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Bitbucket immediately.
"List all pull requests in repository 'my-app' within workspace 'my-team'."
"Check the status of the last pipeline run for 'my-app'."
"List the last 5 commits in repository 'my-app'."
Troubleshooting Bitbucket MCP Server with Vercel AI SDK
Common issues when connecting Bitbucket to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBitbucket + Vercel AI SDK FAQ
Common questions about integrating Bitbucket 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 Bitbucket 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 Bitbucket to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.