Azure DevOps Connector for AI agents.
6 live capabilities
Manage your software development lifecycle and CI/CD pipelines through natural conversation.
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Why people use Azure DevOps
Azure DevOps for Faster CI/CD Pipeline Monitoring
With this Connector, that manual hunt ends. You can just ask your agent for the latest build status or the history of a specific pipeline. It pulls the data instantly and gives you the answer in your chat window, saving you from the constant tab-switching and manual navigation.
What Vinkius changes
You get a conversational interface for your entire DevOps ecosystem.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
The 2 AM Build Check
A developer's build fails.
- Real-world use case 02
The Rapid Backlog Review
A product owner needs to see what's next.
- Real-world use case 03
The New Project Onboarding
A new lead needs to see the team structure.
Complete set · 6capabilities
The complete Azure DevOps capability set.
These are the exact actions your AI can choose when you ask it to work with Azure DevOps.
01—03
3 capabilities in this set.
Part of 6 available through Azure DevOps.
- 01 Capability
List project teams
List all teams in a project to understand the organizational structure.
- 02 Capability
List work items
List recent work items to quickly view your team's current backlog and tasks.
- 03 Capability
List builds
List recent builds to see which executions succeeded or failed.
04—06
3 capabilities in this set.
Part of 6 available through Azure DevOps.
- 04 Capability
List pipelines
List CI/CD pipelines to monitor your automated workflows.
- 05 Capability
List projects
List Azure DevOps projects to see all projects in your organization.
- 06 Capability
List repositories
List Git repositories to see your code storage within a project.
Set up in minutes
One URL. Then ask Azure DevOps to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Azure DevOps from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_KhrlvDQ6a8Aq0oRqxKQC5ISyPDELFNFDMIawvPMR/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Azure DevOps, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Azure DevOps for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_KhrlvDQ6a8Aq0oRqxKQC5ISyPDELFNFDMIawvPMR/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Azure DevOps URL.
- Step 03
Save and start
Save the connection and enable Azure DevOps in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"azure-devops": {
"url": "https://edge.vinkius.com/vk_preview_KhrlvDQ6a8Aq0oRqxKQC5ISyPDELFNFDMIawvPMR/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Azure DevOps
Open Agent mode in chat and ask: "Using Azure DevOps, help me...". 6 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"azure-devops": {
"url": "https://edge.vinkius.com/vk_preview_KhrlvDQ6a8Aq0oRqxKQC5ISyPDELFNFDMIawvPMR/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Azure DevOps
Ask Copilot: "Using Azure DevOps, help me...". 6 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"azure-devops": {
"url": "https://edge.vinkius.com/vk_preview_KhrlvDQ6a8Aq0oRqxKQC5ISyPDELFNFDMIawvPMR/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Azure DevOps
Open Cascade and ask: "Using Azure DevOps, help me...". 6 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"azure-devops": {
"url": "https://edge.vinkius.com/vk_preview_KhrlvDQ6a8Aq0oRqxKQC5ISyPDELFNFDMIawvPMR/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Azure DevOps
Ask Cline: "Using Azure DevOps, help me...". 6 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add azure-devops --transport http "https://edge.vinkius.com/vk_preview_KhrlvDQ6a8Aq0oRqxKQC5ISyPDELFNFDMIawvPMR/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Azure DevOps
Ask Claude: "Using Azure DevOps, show me...". 6 tools are ready
Where the request belongs
Work Azure DevOps can move forward.
The DevOps engineer who's tired of clicking through dashboards at 2am to see why a build failed. The product owner who needs a quick status update on the backlog without bothering the engineering team. The developer who wants to know if their last commit cleared the pipeline without switching tabs.
DevOps Engineer
Monitors build history and manages repositories directly from the chat.
Product Owner
Gets instant views of work item progress and project health.
Software Developer
Quickly checks pipeline statuses and verifies work item details.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsCodefresh
Manage CI/CD and GitOps via Codefresh. track pipelines, trigger builds, and monitor delivery clusters directly from any AI agent.
Harness
Automate CI/CD and DevOps workflows via Harness. manage pipelines, executions, and secrets directly from any AI agent.
Semaphore
Automate CI/CD workflows, manage pipelines, and monitor build jobs directly from your AI agent.
AppVeyor
Manage CI/CD pipelines, users, roles, and collaborators on AppVeyor directly from your AI agent.
Buildkite
Automate CI/CD pipelines via Buildkite. manage builds, agents, and deployments directly from any AI agent.
CircleCI
Manage CI/CD pipelines and workflows via CircleCI. track jobs, trigger pipelines, and monitor build status directly from any AI agent.
Bring your own AI
Change the model, client or framework. Keep Azure DevOps connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Azure DevOps.
The practical details behind the request, access and result.
Can the Azure DevOps MCP see my private repositories?
Yes, it can list your repositories as long as your Personal Access Token has the correct permissions. This allows your agent to see your code storage structure.
How do I give the Azure DevOps MCP permission to see my builds?
You do this by using a Personal Access Token (PAT) with the necessary scopes. Once you add this to the Connector setup, your agent can fetch build history for you.
Can I use the Azure DevOps MCP to manage my team's backlog?
You can use it to view and query your backlog. It allows you to pull up recent tasks and bugs so you can discuss them with your agent.
Does the Azure DevOps MCP work with Cursor or Claude?
Yes, it works with any MCP-compatible client, including Claude, Cursor, and Windsurf. You just need to connect it via the Vinkius Marketplace.
What happens to my data when I connect the Azure DevOps MCP?
Your data stays within your Azure DevOps organization. The Connector simply acts as a bridge that lets your AI agent fetch the information you ask for.
Can I use the Azure DevOps MCP to see if my deployment failed?
Yes, that's one of its primary uses. You can ask the agent to check the latest build status for any project to see if your deployment was successful.
Can I see if a build pipeline failed via the AI?
Yes! Use the list_builds capability and provide the Project ID. Your agent will retrieve the history of recent executions, including their final status (succeeded, failed, inProgress).
How do I list the Git repositories for a project?
Run the list_repositories query with your Project ID. The agent will return all Git repositories associated with that project in your Azure DevOps account.
Is it possible to see recent bugs or tasks assigned to a project?
Absolutely. Use the list_work_items capability. Your agent will retrieve a list of recent work items, including bugs, tasks, and stories, for the specified project.
One connection away
Give your agent a direct line to Azure DevOps.
Connect Azure DevOps once. Keep it beside 6,100+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available