Azure DevOps MCP Server for Google ADKGive Google ADK instant access to 6 tools to List Builds, List Pipelines, List Project Teams, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Azure DevOps as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this App Connector for Google ADK
The Azure DevOps app connector for Google ADK 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
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="azure_devops_agent",
instruction=(
"You help users interact with Azure DevOps "
"using 6 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports Azure DevOps as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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 Google ADK 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 Google ADK
When Google ADK 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 Google ADK via MCP
Follow these steps to wire Azure DevOps into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Azure DevOps MCP Server
Google ADK provides unique advantages when paired with Azure DevOps through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Azure DevOps
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Azure DevOps tools with BigQuery, Vertex AI, and Cloud Functions
Azure DevOps + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Azure DevOps MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Azure DevOps and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Azure DevOps tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Azure DevOps regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Azure DevOps
Example Prompts for Azure DevOps in Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting Azure DevOps to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkAzure DevOps + Google ADK FAQ
Common questions about integrating Azure DevOps MCP Server with Google ADK.