# Azure DevOps MCP Server

> Use this tool when you need to manage and interact with Azure DevOps work items using natural language, solving problems such as streamlining project management and workflow automation. It enables CRUD operations, queries, and relationships between work items like Epics, Features, and Bugs, with inputs including natural language commands and outputs including work item data and project metadata. Ideal for use cases requiring efficient work item management and project data retrieval in Azure DevOps environments.

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

## Description

Enables management of Azure DevOps work items including Epics, Features, User Stories, Tasks, and Bugs through natural language. Supports CRUD operations, WIQL queries, work item relationships, and retrieval of project metadata such as iterations and area paths.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y7o8tj6rty)
- **Repository:** <https://github.com/allanbrunobr/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": "allanbrunobr-mcp-azure-devops"
    }
  }
}
```

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