# mcp-azure-devops

> mcp-azure-devops — dockndevai-mcp-azure-devops. Use this tool when you need to manage and query Azure DevOps projects, boards, and repositories while enforcing governance boundaries. It solves problems related to project management, collaboration, and access control, providing a secure interface for AI assistants to interact with Azure DevOps. The tool accepts queries and commands as inputs and returns project data and management outputs, making it ideal for use cases that require automated project management and compliance.

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

## Description

Enables AI assistants to query and manage Azure DevOps projects, boards, work items, repos, pull requests, and pipelines while enforcing governance boundaries such as access modes, project scoping, protected projects, delete gating, and typed confirmations.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lls8umfbza)
- **Repository:** <https://github.com/dockndevai/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": "dockndevai-mcp-azure-devops"
    }
  }
}
```

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

---
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