azure-devops-mcp-server

# Azure DevOps MCP Server An [MCP (Model Context Protocol)](https://modelcontextprotocol.io/) server that exposes **41 Azure DevOps tools** to AI assistants — covering pipelines, Git repositories, pull requests, releases, boards, work items, test management, and wikis. **Authentication**: Azure Entra device code flow — no app registration required. ## What It Can Do | Category | Tools | Highlights | |----------|-------|------------| | **Pipelines & Builds** | 6 | List pipelines, view runs/logs, trigger builds, browse build artifacts | | **Releases & Approvals** | 6 | List/create releases, view release details, list/approve/reject approvals | | **Git Repositories** | 6 | List repos, browse branches, view commits, read file content, compare branches | | **Pull Requests** | 6 | List/create/update PRs, read comment threads, add comments (inline or general) | | **Boards & Work Items** | 10 | List boards, get/create/update/delete work items, comments, WIQL queries, saved queries | | **Test Management** | 3 | List test runs, view test results, get code coverage | | **Wikis** | 3 | List wikis, read pages, create/update pages | | | **41 total** | | ## Prerequisites - Python 3.10+ - Access to an Azure DevOps organization (dev.azure.com) ## Installation ### From PyPI (recommended) ```bash pip install azure-devops-mcp ``` Or with [uv](https://docs.astral.sh/uv/): ```bash uv pip install azure-devops-mcp ``` ### From source ```bash git clone <your-repo-url> cd azure-devops-mcp pip install -e . ``` ## Quick Start After installing, follow these 3 steps: ### Step 1: Install ```bash pip install azure-devops-mcp ``` ### Step 2: Add to your AI editor Open your editor's MCP config file and add the server. Here's VS Code as an example (`.vscode/mcp.json`): **Option A — With a PAT (simplest, no browser prompt):** ```json { "servers": { "azure-devops": { "command": "azure-devops-mcp", "env": { "AZURE_DEVOPS_ORG_URL": "https://dev.azure.com/YO…