# ado-mcp

> Use this tool when you need to integrate AI assistants with Azure DevOps for streamlined project management, enabling tasks such as work item management and pipeline control through the Model Context Protocol interface. It solves problems related to workflow automation, collaboration, and data consistency across AI and DevOps platforms. With inputs including work item queries and repository updates, and outputs such as pipeline status and project insights, ado-mcp facilitates seamless interaction between AI agents and Azure DevOps.

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

## Description

Enables AI assistants to interact with Azure DevOps, providing tools for managing work items, repositories, pipelines, and more through the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gyusz3k7ga)
- **Repository:** <https://github.com/og-mcp/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": "og-mcp-ado-mcp"
    }
  }
}
```

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