Bitbucket MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Bitbucket as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Bitbucket. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Bitbucket?"
)
print(response)
asyncio.run(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.
LlamaIndex agents combine Bitbucket tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Bitbucket MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Bitbucket
Why Use LlamaIndex with the Bitbucket MCP Server
LlamaIndex provides unique advantages when paired with Bitbucket through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Bitbucket tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Bitbucket tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Bitbucket, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Bitbucket tools were called, what data was returned, and how it influenced the final answer
Bitbucket + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Bitbucket MCP Server delivers measurable value.
Hybrid search: combine Bitbucket real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Bitbucket to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Bitbucket for fresh data
Analytical workflows: chain Bitbucket queries with LlamaIndex's data connectors to build multi-source analytical reports
Bitbucket MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Bitbucket to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Bitbucket to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBitbucket + LlamaIndex FAQ
Common questions about integrating Bitbucket MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Bitbucket with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
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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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.