# Azure DevOps MCP Server

> Use this tool when you need to integrate AI-driven automation with Azure DevOps workflows, enabling interactions with projects, repositories, and other entities to streamline development and collaboration processes. It solves problems related to workflow automation, project management, and team collaboration by providing a programmable interface to Azure DevOps. This tool accepts inputs like project names, repository IDs, and work item queries, and outputs corresponding data and execution results.

Canonical page: https://skillsregistry.net/skills/aaronsb-ado-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aaronsb-ado-mcp

## Description

Enables AI assistants to interact with Azure DevOps entities like projects, repositories, work items, pull requests, and pipelines.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kg357mwdk3)
- **Repository:** <https://github.com/aaronsb/ado-mcp>

## 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": "aaronsb-ado-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aaronsb-ado-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aaronsb-ado-mcp/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