Azure DevOps MCP Server

MCP serverCloud & infra

Give your AI a direct connection to Azure DevOps, Microsoft's platform for managing software development work. Once it is added, your AI can work with your Azure DevOps account on your behalf, so you can move work forward through a normal conversation instead of switching between tools.

Use Azure DevOps MCP Server in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add Azure DevOps MCP Server and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use Azure DevOps MCP Server

Details

Available today. Use it from your connected AI after setup.

Add azure-devops to your AI and connect your Azure DevOps account. After that, simply tell your AI what you would like to get done in Azure DevOps.

Azure DevOps MCP ServerStart free

What your AI can do with it

  • Connect your AI to your Azure DevOps account
  • Work with your Azure DevOps projects and tasks through a conversation
  • Get Azure DevOps information included in your AI's answers
  • Hand Azure DevOps work to your AI to take care of for you
  • Stay in one place instead of jumping between apps to get things done

Install Azure DevOps MCP Server

The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.

  • Claude Code

    claude mcp add --transport http --scope user azure-devops-mcp-server 'https://mcp.dev.azure.com'

    Run it once in your project, then open /mcp to approve any sign-in the server asks for.

  • Claude Desktop

    https://mcp.dev.azure.com

    Add a custom connector in Settings, paste this address, and approve the sign-in.

  • Cursor

    cursor://anysphere.cursor-deeplink/mcp/install?name=azure-devops-mcp-server&config=eyJ1cmwiOiJodHRwczovL21jcC5kZXYuYXp1cmUuY29tIn0=

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://mcp.dev.azure.com

    In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.

  • Codex

    codex mcp add azure-devops-mcp-server --url 'https://mcp.dev.azure.com'

    Run it once, then sign in with codex mcp login azure-devops-mcp-server if the server asks for an account.

From the project's README

As published by microsoft/azure-devops-mcp in README.md.

[!IMPORTANT] We recommend using the Remote MCP Server instead of this local server. It requires no installation and gets new features first.

Learn more

This project gives AI agents access to Azure DevOps through the Model Context Protocol (MCP). Use the hosted remote server for the simplest setup, or run the local server when you need a stdio connection.

Table of Contents

  1. Overview
  2. Design
  3. Remote MCP Server (Recommended)
  4. Supported Tools
  5. Local MCP Server Installation (Optional)
  6. Using Domains (Local Server)
  7. Project and Team Defaults (Local Server)
  8. Troubleshooting
  9. Examples and Best Practices
  10. Frequently Asked Questions
  11. Contributing

Overview

The Azure DevOps MCP Server brings Azure DevOps context to your agents. Try prompts like:

  • "List my ADO projects"
  • "List ADO Builds for 'Contoso'"
  • "List ADO Repos for 'Contoso'"
  • "List test plans for 'Contoso'"
  • "List teams for project 'Contoso'"
  • "List iterations for project 'Contoso'"
  • "List my work items for project 'Contoso'"
  • "List work items in current iteration for 'Contoso' project and 'Contoso Team'"
  • "List all wikis in the 'Contoso' project"
  • "Create a wiki page '/Architecture/Overview' with content about system design"
  • "Update the wiki page '/Getting Started' with new onboarding instructions"
  • "Get the content of the wiki page '/API/Authentication' from the Documentation wiki"

Design

Each tool handles a focused Azure DevOps task. The server provides a thin layer over the REST APIs, while the AI agent handles higher-level reasoning.

Remote MCP Server (Recommended)

For complete instructions, see the Remote MCP Server onboarding documentation.

The remote server will eventually replace the local server. The local server remains supported, but new development will focus on the remote server. Existing local server users should begin planning their migration.

If you encounter issues with tools, need support, or have a feature request, you can report an issue using the Remote MCP Server issue template. During the preview period, we will track Remote MCP Server issues through this repository.

Quick Start

Create .vscode/mcp.json in your project and add this configuration. Replace {organization} with your Azure DevOps organization name.

{
  "servers": {
    "ado-remote-mcp": {
      "url": "https://mcp.dev.azure.com/{organization}",
      "type": "http"
    }
  },
  "inputs": []
}

See the remote server configuration documentation for more options.

After saving .vscode/mcp.json, start the server from the MCP view in VS Code, then run a prompt like List ADO projects.

Supported Tools

See the Available Tools documentation for the complete list of available remote tools.

For the complete list of local tools, see TOOLSET.md.

Local MCP Server Installation (Optional)

[!IMPORTANT] Start with the Remote MCP Server first. Use the local MCP Server only if your scenario specifically requires a local stdio setup.

These steps use Visual Studio Code and GitHub Copilot. For other supported clients, including Visual Studio 2022, Codex, Claude Code, Cursor, OpenCode, and Kilo Code, see the getting started guide.

Prerequisites

  1. Install VS Code or VS Code Insiders.
  2. Install Node.js 20 or later.
  3. Open your project in VS Code.

Installation

Install from npm
  1. Create .vscode/mcp.json in your project.
  2. Add this configuration:
{
  "inputs": [
    {
      "id": "ado_org",
      "type": "promptString",
      "description": "Azure DevOps organization name  (e.g. 'contoso')"
    }
  ],
  "servers": {
    "ado": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@azure-devops/mcp", "${input:ado_org}"]
    }
  }
}
  1. Save the file, then start the ado server from the MCP view in VS Code.
  2. Open GitHub Copilot Chat and switch to Agent mode.
  3. Select the Azure DevOps tools, then try a prompt such as List ADO projects.
  4. When prompted, sign in with a Microsoft account that has access to the selected Azure DevOps organization.

To use nightly builds, replace @azure-devops/mcp with @azure-devops/mcp@next in the configuration.

For better tool selection, add .github/copilot-instructions.md to your project with this instruction:

This project uses Azure DevOps. Always check whether the Azure DevOps MCP server has a tool relevant to the user's request.

Using Domains (Local Server)

The local server includes many tools. Domains let you load only the tool groups you need, which keeps the tool list manageable and helps clients with tool limits. Available domains are core, work, work-items, search, test-plans, repositories, wiki, pipelines, and advanced-security.

Add -d followed by the domains to the server arguments. For example, this configuration loads only work item-related tools:

{
  "inputs": [
    {
      "id": "ado_org",
      "type": "promptString",
      "description": "Azure DevOps organization name  (e.g. 'contoso')"
    }
  ],
  "servers": {
    "ado_with_filtered_domains": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@azure-devops/mcp", "${input:ado_org}", "-d", "core", "work", "work-items"]
    }
  }
}

Always include core so the agent can retrieve project information.

If you omit -d, the server loads all domains.

Project and Team Defaults (Local Server)

Set default Azure DevOps project and team values in .vscode/mcp.json so tools can skip selection prompts.

Example .vscode/mcp.json

{
  "servers": {
    "ado": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@azure-devops/mcp", "myorg", "--authentication", "azcli"],
      "env": {
        "ado_mcp_project": "Contoso",
        "ado_mcp_team": "Fabrikam Team"
      }
    }
  }
}

Troubleshooting

See the Troubleshooting guide for help with common issues and logging.

Examples

See the examples for sample prompts.

Frequently Asked Questions

For answers to common questions about the Azure DevOps MCP Server, see the Frequently Asked Questions.

Contributing

We welcome contributions. During preview, file issues for bugs, enhancements, or documentation improvements.

See our Contributions Guide for:

  • Development setup
  • Adding new tools
  • Code style and testing
  • Pull request process

Read the Contributions Guide before creating a pull request.

Code of Conduct

This project follows the Microsoft Open Source Code of Conduct. For questions, see the FAQ or contact open@microsoft.com.

Hall of Fame

Thanks to all contributors who make this project awesome! ❤️

Generated with contrib.rocks

License

Licensed under the MIT License.


Trademarks: This project may include trademarks or logos for Microsoft or third parties. Use of Microsoft trademarks or logos must follow Microsoft’s Trademark & Brand Guidelines. Third-party trademarks are subject to their respective policies.

Signals

GitHub stars
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Forks
658
Last commit
Oct 2026

Ahel review

  • S4low
    published under premierinc's namespace; repository belongs to microsoft

Automated review, not a security audit. Ruleset v1.

Advanced
Delivery
azure-devops MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
io-github-premierinc-azure-devops
Source
github.com/microsoft/azure-devops-mcp
Hosted endpoint
https://mcp.dev.azure.com