Azure DevOps MCP Server

Name: Azure DevOps MCP Server
Author: aymenfurter

@aymenfurter

Repository

About Azure DevOps MCP Server

No overview available yet

#ado-mcp-server #azure-devops #work-item-management

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "ado-mcp-server-python": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "ado-mcp-server",
        "."
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Azure DevOps MCP Server?

Azure DevOps MCP Server is a Model Context Protocol (MCP) server that provides work item management capabilities for Azure DevOps. It is intended for developers who want to integrate AI assistants with Azure DevOps using a Docker container and a Personal Access Token.

How to use Azure DevOps MCP Server?

Build the Docker image with docker build -t ado-mcp-server . then run the container with three environment variables: ADO_PERSONAL_ACCESS_TOKEN, ADO_ORGANIZATION_URL, and ADO_PROJECT_NAME. For VS Code integration, add the provided JSON configuration to your editor settings.

Key features of Azure DevOps MCP Server

Search existing work items
Create new work items
Update existing work items
Retrieve work item states
Simple command-line interface for testing

Use cases of Azure DevOps MCP Server

Querying work items from an AI chat assistant
Automatically creating work items based on user requests
Updating work item status or fields via natural language
Getting an overview of work item states in a project

FAQ from Azure DevOps MCP Server

What are the prerequisites to use this server?

Docker, an Azure DevOps Personal Access Token with appropriate permissions, and the organization URL and project name.

How do I integrate it with VS Code?

Add the provided JSON configuration block to your VS Code settings, using docker as the command and passing the required environment variables through prompts.