Azure DevOps MCP Server for AutoGenGive AutoGen instant access to 6 tools to List Builds, List Pipelines, List Project Teams, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Azure DevOps as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this App Connector for AutoGen
The Azure DevOps app connector for AutoGen is a standout in the Industry Titans category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="azure_devops_agent",
tools=tools,
system_message=(
"You help users with Azure DevOps. "
"6 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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 Azure DevOps MCP Server
Connect your Azure DevOps account to any AI agent and simplify how you manage your software development lifecycle, track work items, and monitor pipelines through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Azure DevOps tools. Connect 6 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
What you can do
- Project Oversight — List all projects in your organization and retrieve detailed metadata and configurations.
- Work Item Tracking — List and query recent tasks, bugs, and user stories to manage your team's backlog.
- Git Repository Control — Query all Git repositories within a project to monitor code storage.
- Pipeline Monitoring — List CI/CD pipelines and retrieve the history of recent build executions and statuses.
- Team Coordination — List project teams to understand organizational structure and distribution.
- Operational Status — Fetch real-time metadata for projects and work items directly via AI commands.
The Azure DevOps MCP Server exposes 6 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 6 Azure DevOps tools available for AutoGen
When AutoGen connects to Azure DevOps through Vinkius, your AI agent gets direct access to every tool listed below — spanning ci-cd, pipeline-management, work-item-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
List recent builds
List CI/CD pipelines
List teams in a project
List Azure DevOps projects
List Git repositories
List recent work items
Connect Azure DevOps to AutoGen via MCP
Follow these steps to wire Azure DevOps into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Azure DevOps MCP Server
AutoGen provides unique advantages when paired with Azure DevOps through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Azure DevOps tools to solve complex tasks
Role-based architecture lets you assign Azure DevOps tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Azure DevOps tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Azure DevOps tool responses in an isolated environment
Azure DevOps + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Azure DevOps MCP Server delivers measurable value.
Collaborative analysis: one agent queries Azure DevOps while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Azure DevOps, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Azure DevOps data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Azure DevOps responses in a sandboxed execution environment
Example Prompts for Azure DevOps in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Azure DevOps immediately.
"List all active projects in my Azure DevOps organization."
"Show me the last 5 work items for the 'Mobile App' project."
"What is the status of the latest build for project 'Internal Tools'?"
Troubleshooting Azure DevOps MCP Server with AutoGen
Common issues when connecting Azure DevOps to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Azure DevOps + AutoGen FAQ
Common questions about integrating Azure DevOps MCP Server with AutoGen.