# Azure DevOps MCP Server

> Use this tool when you need to manage Azure DevOps projects and repositories through natural language commands, enabling AI assistants to interact with work items, Git repositories, and projects. It solves problems such as streamlining project management, automating tasks, and enhancing collaboration. The tool accepts natural language inputs and outputs project updates, work item changes, and repository modifications.

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

## Description

Enables AI assistants to interact with Azure DevOps to manage work items, Git repositories, branches, commits, and projects through natural language commands.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vvceyxz5jh)
- **Repository:** <https://github.com/grizzlypeaksoftware/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": "grizzlypeaksoftware-ado-mcp"
    }
  }
}
```

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