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PopNx MCPMCP servers for people who use AI · explained in plain words

Azure DevOps

by billg118version 0.1.54i★ –iRuns on your computer
Registry nameio.github.billg118/mcp-server-azure-devops

Install

Overview

Description from the maker (original English)

Azure DevOps MCP server: projects, repos, work items, pull requests, pipelines, and wikis.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools
  • You need to fill in: AZURE_DEVOPS_ORG_URL, AZURE_DEVOPS_PAT

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: AZURE_DEVOPS_ORG_URL, AZURE_DEVOPS_AUTH_METHOD, AZURE_DEVOPS_PAT, AZURE_DEVOPS_DEFAULT_PROJECT

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "azure-devops": {
      "command": "npx",
      "args": [
        "-y",
        "@billg118/mcp-server-azure-devops"
      ],
      "env": {
        "AZURE_DEVOPS_ORG_URL": "your-value",
        "AZURE_DEVOPS_AUTH_METHOD": "your-value",
        "AZURE_DEVOPS_PAT": "your-value",
        "AZURE_DEVOPS_DEFAULT_PROJECT": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add azure-devops --env AZURE_DEVOPS_ORG_URL=your-value --env AZURE_DEVOPS_AUTH_METHOD=your-value --env AZURE_DEVOPS_PAT=your-value --env AZURE_DEVOPS_DEFAULT_PROJECT=your-value -- npx -y @billg118/mcp-server-azure-devops

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "azure-devops": {
      "command": "npx",
      "args": [
        "-y",
        "@billg118/mcp-server-azure-devops"
      ],
      "env": {
        "AZURE_DEVOPS_ORG_URL": "your-value",
        "AZURE_DEVOPS_AUTH_METHOD": "your-value",
        "AZURE_DEVOPS_PAT": "your-value",
        "AZURE_DEVOPS_DEFAULT_PROJECT": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "azure-devops": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@billg118/mcp-server-azure-devops"
      ],
      "env": {
        "AZURE_DEVOPS_ORG_URL": "your-value",
        "AZURE_DEVOPS_AUTH_METHOD": "your-value",
        "AZURE_DEVOPS_PAT": "your-value",
        "AZURE_DEVOPS_DEFAULT_PROJECT": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • AZURE_DEVOPS_ORG_URL required env
    Azure DevOps organization URL, e.g. https://dev.azure.com/your-organization
  • AZURE_DEVOPS_AUTH_METHOD env
    Authentication method: 'pat', 'azure-identity' (default), or 'azure-cli'
  • AZURE_DEVOPS_PAT secret env
    Personal Access Token (required when AZURE_DEVOPS_AUTH_METHOD is 'pat')
  • AZURE_DEVOPS_DEFAULT_PROJECT env
    Default project to use when none is specified

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account billg118, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 1395 servers in this category
  • Published to the registry more recently than 94% of the other 1395 servers in this category
  • Basic checks equal to or better than 100% of the other 1395 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Azure DevOps safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: AZURE_DEVOPS_ORG_URL, AZURE_DEVOPS_PAT

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.54) reached the registry 2 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

GitHub

by github

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

Computer or cloud★ 34,245MITUpdated 4 days ago
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Desktop Commander

by wonderwhy-er

MCP server for terminal commands, file operations, and process management

Runs on your computer★ 10,225MITUpdated 16 days ago
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Cloudflare MCP

by cloudflare

Cloudflare MCP servers

Runs in the cloud★ 4,446Apache-2.0Updated 14 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Azure DevOps MCP Server

A Model Context Protocol (MCP) server implementation for Azure DevOps, allowing AI assistants to interact with Azure DevOps APIs through a standardized protocol.

Looking for the official server? Microsoft maintains a product-supported Azure DevOps MCP at microsoft/azure-devops-mcp. If you use Azure DevOps Services (cloud), start there.

This community server remains a good fit when you need Azure DevOps Server (on-premises) support — especially older versions that may not work with Microsoft's MCP — or features not yet available in the official server. See Discussion #237 for more context. See ROADMAP.md for where this server differentiates and what is planned.

Overview

This server implements the Model Context Protocol (MCP) for Azure DevOps, enabling AI assistants like Claude to interact with Azure DevOps resources securely. The server acts as a bridge between AI models and Azure DevOps APIs, providing a standardized way to:

  • Access and manage projects, work items, repositories, and more
  • Create and update work items, branches, and pull requests
  • Execute common DevOps workflows through natural language
  • Access repository content via standardized resource URIs
  • Safely authenticate and interact with Azure DevOps resources

Server Structure

The server is structured around the Model Context Protocol (MCP) for communicating with AI assistants. It provides tools for interacting with Azure DevOps resources including:

  • Projects
  • Work Items
  • Repositories
  • Pull Requests
  • Branches
  • Pipelines
Core Components
  • AzureDevOpsServer: Main server class that initializes the MCP server and registers tools
  • Feature Modules: Organized by feature area (work-items, projects, repositories, etc.)
  • Request Handlers: Each feature module provides request identification and handling functions
  • Tool Handlers: Modular functions for each Azure DevOps operation
  • Configuration: Environment-based configuration for organization URL, PAT, etc.

The server uses a feature-based architecture where each feature area (like work-items, projects, repositories) is encapsulated in its own module. This makes the codebase more maintainable and easier to extend with new features.

Getting Started

Prerequisites
  • Node.js (v16+)
  • npm or yarn
  • Azure DevOps account with appropriate access
  • Authentication credentials (see Authentication Guide for details):
  • Personal Access Token (PAT), or
  • Azure Identity credentials, or
  • Azure CLI login
Running from npm (npx)

If you just want to run the published server package, you do not need to clone or build this repository:

npx -y @billg118/mcp-server-azure-devops
Running locally (from source)

From a checkout of this repository:

npm ci

cp .env.example .env # then edit values npm run build npm start # runs: node dist/index.js

For iterative development (auto-reload):

npm run dev            # runs src/index.ts via tsx watch
Usage with Claude Desktop/Cursor AI

To integrate with Claude Desktop or Cursor AI, add one of the following configurations to your configuration file.

Azure Identity Authentication

Be sure you are logged in to Azure CLI with az login then add the following:

{

"mcpServers": { "azureDevOps": { "command": "npx", "args": ["-y", "@billg118/mcp-server-azure-devops"], "env": { "AZURE_DEVOPS_ORG_URL": "https://dev.azure.com/your-organization", "AZURE_DEVOPS_AUTH_METHOD": "azure-identity", "AZURE_DEVOPS_DEFAULT_PROJECT": "your-project-name" } } } }

Personal Access Token (PAT) Authentication
{

"mcpServers": { "azureDevOps": { "command": "npx", "args": ["-y", "@billg118/mcp-server-azure-devops"], "env": { "AZURE_DEVOPS_ORG_URL": "https://dev.azure.com/your-organization", "AZURE_DEVOPS_AUTH_METHOD": "pat", "AZURE_DEVOPS_PAT": " ", "AZURE_DEVOPS_DEFAULT_PROJECT": "your-project-name" } } } }

Azure DevOps Server (on-prem) requires PAT authentication. Example:

{

"mcpServers": { "azureDevOps": { "command": "npx", "args": ["-y", "@billg118/mcp-server-azure-devops"], "env": { "AZURE_DEVOPS_ORG_URL": "https://server:8080/tfs/DefaultCollection", "AZURE_DEVOPS_AUTH_METHOD": "pat", "AZURE_DEVOPS_PAT": " ", "AZURE_DEVOPS_DEFAULT_PROJECT": "your-project-name" } } } }

For detailed configuration instructions and more authentication options, see the Authentication Guide.

Authentication Methods

This server supports multiple authentication methods for connecting to Azure DevOps APIs. For detailed setup instructions, configuration examples, and troubleshooting tips, see the Authentication Guide.

Supported Authentication Methods
  1. Personal Access Token (PAT) - Simple token-based authentication
  2. Azure Identity (DefaultAzureCredential) - Flexible authentication using the Azure Identity SDK
  3. Azure CLI - Authentication using your Azure CLI login

Example configuration files for each authentication method are available in the examples directory.

Azure DevOps Server (on-prem) supports PAT authentication only. Azure Identity and Azure CLI are supported for Azure DevOps Services.

Environment Variables

For a complete list of environment variables and their descriptions, see the Authentication Guide.

Key environment variables include:

VariableDescriptionRequiredDefault
AZURE_DEVOPS_AUTH_METHODAuthentication method (pat, azure-identity, or azure-cli) - case-insensitiveNoazure-identity
AZURE_DEVOPS_ORG_URLFull URL to your Azure DevOps organization or Server collection (e.g., https://server:8080/tfs/DefaultCollection)Yes-
AZURE_DEVOPS_PATPersonal Access Token (for PAT auth)Only with PAT auth-
AZURE_DEVOPS_DEFAULT_PROJECTDefault project if none specifiedNo-
AZURE_DEVOPS_API_VERSIONREST api-version for the tools that call the REST API directly (per-release values)No7.1
AZURE_TENANT_IDAzure AD tenant ID (for service principals)Only with service principals-
AZURE_CLIENT_IDAzure AD application ID (for service principals)Only with service principals-
AZURE_CLIENT_SECRETAzure AD client secret (for service principals)Only with service principals-
LOG_LEVELLogging level (debug, info, warn, error)Noinfo

Troubleshooting Authentication

For detailed troubleshooting information for each authentication method, see the Authentication Guide.

Common issues include:

  • Invalid or expired credentials
  • Insufficient permissions
  • Network connectivity problems
  • Configuration errors

Authentication Implementation Details

For technical details about how authentication is implemented in the Azure DevOps MCP server, see the Authentication Guide and the source code in the src/auth directory.

Available Tools

The Azure DevOps MCP server provides a variety of tools for interacting with Azure DevOps resources. For detailed documentation on each tool, please refer to the corresponding documentation.

User Tools
  • get_me: Get details of the authenticated user (id, displayName, email) (Azure DevOps Services only)
Organization Tools
  • list_organizations: List all accessible organizations (Azure DevOps Services only)
Project Tools
  • list_projects: List all projects in an organization
  • get_project: Get details of a specific project
  • get_project_details: Get comprehensive details of a project including process, work item types, and teams
Repository Tools
  • list_repositories: List all repositories in a project
  • get_repository: Get details of a specific repository
  • get_repository_details: Get detailed information about a repository including statistics and refs
  • get_file_content: Get content of a file or directory from a repository
  • get_repository_tree: List a repository's file tree from any path and depth
  • create_branch: Create a new branch from an existing one
  • create_commit: Commit multiple file changes to a branch using unified diffs or search/replace instructions
Work Item Tools
  • get_work_item: Retrieve a work item by ID
  • create_work_item: Create a new work item
  • update_work_item: Update an existing work item
  • list_work_items: List work items in a project
  • manage_work_item_link: Add, remove, or update links between work items
  • create_work_item_attachment: Upload and attach a file to a work item
  • get_work_item_attachment: Download an attachment from a work item
  • delete_work_item_attachment: Delete an attachment from a work item
Search Tools
  • search_code: Search for code across repositories in a project
  • search_wiki: Search for content across wiki pages in a project
  • search_work_items: Search for work items across projects in Azure DevOps
Pipelines Tools
  • list_pipelines: List pipelines in a project
  • get_pipeline: Get details of a specific pipeline
  • list_pipeline_runs: List recent runs for a pipeline with optional filters
  • get_pipeline_run: Get detailed run information and artifact summaries
  • download_pipeline_artifact: Download a single artifact file as text
  • pipeline_timeline: Retrieve the stage and job timeline for a run
  • get_pipeline_log: Retrieve raw or JSON-formatted log content
  • trigger_pipeline: Trigger a pipeline run with customizable parameters
Wiki Tools
  • get_wikis: List all wikis in a project
  • get_wiki_page: Get content of a specific wiki page as plain text
Pull Request Tools

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