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MCP servers/Cloud & Infrastructure
microsoft avatar

Azure DevOps (ADO)

microsoft/azure-devops-mcpOfficial

The Azure DevOps MCP Server provides a local TypeScript server that integrates Azure DevOps into VS Code, enabling AI agents to perform Azure DevOps operations directly from the editor. It supports tools for listing and managing projects, builds, repositories, test plans, teams, iterations, work items, and wiki pages, along with creating and updating wiki content. The server solves the problem of giving AI assistants direct access to Azure DevOps data and operations without leaving the development environment.

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last updated
May 18, 2026
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Readme

Azure DevOps MCP Server

[!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:
{
  "servers": {
    "ado": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@azure-devops/mcp", "{organization}"]
    }
  }
}
  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:

{
  "servers": {
    "ado_with_filtered_domains": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@azure-devops/mcp", "{organization}", "-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", "{organization}", "--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! ❤️

Contributors

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.

Details

Repository
github.com/microsoft/azure-devops-mcp
Website
learn.microsoft.com/en-us/azure/devops/mcp-server/mcp-server-overview
Category
Cloud & Infrastructure
Transport
HTTP
Auth
Required
Registry
MCP registry, active

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