# MCP Azure DevOps Server

> Use this tool when you need to integrate AI assistants with Azure DevOps services to manage work items, pipelines, and projects. It solves problems related to automating DevOps tasks, such as querying work items, creating/updating items, and managing pipelines, by providing a Model Context Protocol server interface. This tool is ideal for use cases where AI-driven automation and Azure DevOps integration are required, accepting inputs like work item queries and returning outputs like item updates and pipeline status.

Canonical page: https://skillsregistry.net/skills/vortiago-mcp-azure-devops  
JSON: https://api.skillsregistry.net/v1/skills/vortiago-mcp-azure-devops

## Description

A Model Context Protocol server that enables AI assistants to interact with Azure DevOps services, allowing users to query work items with plans to support creating/updating items, managing pipelines, handling pull requests, and administering sprints and branch policies.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bt73gvug7p)
- **Repository:** <https://github.com/Vortiago/mcp-azure-devops>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "vortiago-mcp-azure-devops"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vortiago-mcp-azure-devops` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vortiago-mcp-azure-devops/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt