Overview

The Azure DevOps MCP Server brings Azure DevOps context to your agents, enabling AI models to interact with your Azure DevOps environment. It allows for managing work items, pull requests, test plans, builds, releases, and wiki pages directly from your code editor or AI assistant.

Official Server:

Developed and maintained by Microsoft

Key Features

📝

Work Item Management

Create, update, query, and manage work items like bugs, tasks, and user stories.

🔄

Pull Request Operations

List, create, and update pull requests, and manage their comments and threads.

🚀

Pipeline & Build Interaction

Query pipeline status and trigger new pipeline runs.

📚

Wiki Management

Create, update, and retrieve content from wiki pages.

Available Tools

Quick Reference

Tool	Purpose	Category
`core_list_projects`	List projects in your organization	Core
`wit_my_work_items`	Retrieve work items for the authenticated user	Work Items
`wit_create_work_item`	Create a new work item	Work Items
`repo_list_repos_by_project`	List repositories for a given project	Repositories
`repo_create_pull_request`	Create a new pull request	Repositories
`wiki_create_wiki_page`	Create a new wiki page	Wiki

Detailed Usage

core_list_projects▶

Retrieve a list of projects in your Azure DevOps organization.

use_mcp_tool({
  server_name: "azure-devops",
  tool_name: "core_list_projects",
  arguments: {}
});

wit_create_work_item▶

Create a new work item in a specified project and work item type.

use_mcp_tool({
  server_name: "azure-devops",
  tool_name: "wit_create_work_item",
  arguments: {
    project: "MyProject",
    type: "Bug",
    title: "Fix authentication issue",
    description: "Users are unable to log in."
  }
});

repo_create_pull_request▶

Create a new pull request.

use_mcp_tool({
  server_name: "azure-devops",
  tool_name: "repo_create_pull_request",
  arguments: {
    repositoryId: "my-repo-id",
    sourceRefName: "refs/heads/feature/new-feature",
    targetRefName: "refs/heads/main",
    title: "New Feature Implementation"
  }
});

wiki_create_wiki_page▶

Create a new wiki page with specified content.

use_mcp_tool({
  server_name: "azure-devops",
  tool_name: "wiki_create_wiki_page",
  arguments: {
    project: "MyProject",
    wikiIdentifier: "MyWiki",
    path: "/NewPage",
    content: "# My New Wiki Page\nThis is the content of my new wiki page."
  }
});

Installation

{
  "mcpServers": {
    "azure-devops": {
      "command": "npx",
      "args": [
        "-y",
        "@microsoft/azure-devops-mcp"
      ],
      "env": {
        "AZURE_DEVOPS_ORG_URL": "https://dev.azure.com/your-organization",
        "AZURE_DEVOPS_AUTH_METHOD": "pat",
        "AZURE_DEVOPS_PAT": "<YOUR_PAT>",
        "AZURE_DEVOPS_DEFAULT_PROJECT": "your-project-name"
      }
    }
  }
}

Sources

Vercel MCP Server

Integrate Vercel with your AI assistants using the Model Context Protocol (MCP) for seamless deployment management, project control, and environment configuration.

Development Tools & DevOps MCP Servers

Streamline your development workflow with our Development Tools & DevOps integrations. Connect with version control systems, CI/CD pipelines, container platforms, and more to build, test, and deploy your AI applications faster and more reliably.

PostHog MCP Server: AI-Powered Analytics & Feature Flags

PostHog MCP server enables AI models to interact with PostHog analytics for project management, annotations, feature flags, and error analysis.

Azure DevOps MCP Server