Can I check the status of my latest Bitbucket Pipeline?

Yes! Use the `list_pipelines` tool with your Workspace and Repository slug. Your agent will fetch the latest build statuses, showing if they passed or failed.

How do I list all open pull requests for a repository?

Simply ask the agent to `list_pull_requests` and provide the Workspace and Repository slug. It will retrieve all current PRs awaiting review.

Does the integration allow merging code directly?

Currently, the toolset is focused on querying and monitoring (Read-Only). You can list and inspect PRs, commits, and branches, but destructive actions like merging or deleting branches must be done through the Bitbucket UI for safety.

Bitbucket MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Bitbucket
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Bitbucket through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Bitbucket Assistant",
            instructions=(
                "You help users interact with Bitbucket. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Bitbucket"
        )
        print(result.final_output)

asyncio.run(main())

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* 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 OpenAI Agents SDK auto-discovers all 10 tools from Bitbucket through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Bitbucket, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Bitbucket MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Bitbucket

Why Use OpenAI Agents SDK with the Bitbucket MCP Server

OpenAI Agents SDK provides unique advantages when paired with Bitbucket through the Model Context Protocol.

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Bitbucket + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Bitbucket MCP Server delivers measurable value.

Automated workflows: build agents that query Bitbucket, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Bitbucket, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Bitbucket tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Bitbucket to resolve tickets, look up records, and update statuses without human intervention

Bitbucket MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Bitbucket to OpenAI Agents 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

Common issues when connecting Bitbucket to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Bitbucket + OpenAI Agents SDK FAQ

Common questions about integrating Bitbucket MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.