# ado-mcp

> Use this tool when you need to integrate Azure DevOps with AI assistants, enabling seamless management of projects and pipelines directly from chat interfaces. It solves problems such as manual project tracking and troubleshooting by providing features like project listing, pipeline execution, and log analysis. With inputs like project names and pipeline IDs, and outputs like project details and build logs, ado-mcp streamlines DevOps workflows for AI-powered assistants.

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

## Description

An MCP server that provides Azure DevOps integration for AI assistants, enabling them to list projects, run pipelines, analyze failures, view logs, and troubleshoot builds directly from chat interfaces.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-05-27

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nfpgtn2f3c)
- **Repository:** <https://github.com/raboley/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": "raboley-ado-mcp"
    }
  }
}
```

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