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Connect Azure DevOps to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Get real-time visibility into your entire software lifecycle.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 6 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 6 available through Azure DevOps.

  1. 01

    List project teams

    List teams in a project

  2. 02

    List work items

    List recent work items

  3. 03

    List projects

    List Azure DevOps projects

Capability set02 / 02

04-06

3 capabilities in this set.

Part of 6 available through Azure DevOps.

  1. 04

    List repositories

    List Git repositories

  2. 05

    List builds

    List recent builds

  3. 06

    List pipelines

    List CI/CD pipelines

Real work

What teams actually run

01

Debugging a Failed Release

A build fails. Instead of digging through logs, you ask the AI for the latest pipeline history and the last successful commit to narrow down the issue immediately.

02

Sprint Planning Check

You need to know which features are blocked. You ask the AI to list all open work items for a specific project, filtering by status.

03

Codebase Audit

Before merging, you ask the AI to list all repositories in a project to ensure all necessary codebases are accounted for.

04

Onboarding New Team Members

A new hire asks, 'Who works on the Mobile App?' The AI lists the project teams, providing immediate organizational context.

Automate a task

Put Azure DevOps to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Azure DevOps works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Azure DevOps to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

948ms average. Fast in production.

Azure DevOps is checked daily against the live service.

Daily averagePeak 1147ms
Oct 3Today
Fastest day
804ms
Slowest day
1147ms
14-day trend
Slowing+15%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 6 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Azure DevOps, so you can see the experience inside your AI.

It does not authenticate your account with Azure DevOps. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Azure DevOps Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_KhrlvDQ6a8Aq0oRqxKQC5ISyPDELFNFDMIawvPMR/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Azure DevOps capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "azure-devops-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_KhrlvDQ6a8Aq0oRqxKQC5ISyPDELFNFDMIawvPMR/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Azure DevOps in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Azure DevOps owners hand off.

This MCP is built for technical teams that spend time coordinating complex software releases. If you need to know the status of a bug, the latest code commit, or the progress of a feature across multiple systems, this connector gives you a single point of truth via conversation.

  • 01

    Developers & Engineers

    Use the AI to quickly check pipeline statuses and verify specific work item details without leaving your chat environment.

  • 02

    DevOps Specialists

    Monitor build history, manage repositories, and check deployment status directly from the workspace to troubleshoot issues.

  • 03

    Product Owners

    Get instant, high-level views of work item progress and overall project health by asking the AI assistant simple questions.

FAQ

Questions Azure DevOps owners ask.

  • 01

    Does this MCP handle all types of Azure DevOps data?

    It handles the core components of your SDLC. You can query projects, work items (tasks, bugs, stories), Git repositories, and the status of CI/CD pipelines and builds.

  • 02

    Do I need to be a developer to use this MCP?

    No. While it handles technical data, you can use it to get high-level insights. Product Owners and Project Managers can query project health and work item progress just as easily as engineers.

  • 03

    What credentials do I need to set up the connection?

    You must provide your Azure DevOps Organization URL and a Personal Access Token (PAT). This token authorizes the MCP to read the necessary project data on your behalf.

  • 04

    Is this just a directory of Azure DevOps features?

    No. This MCP is fully hosted and managed by Vinkius. It's a ready-to-use connector that lets your AI client perform actions and retrieve data directly, rather than just listing available features.

  • 05

    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).

  • 06

    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.

  • 07

    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.

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