# ado-workflows-mcp

> Use this tool when you need to automate interactions with Azure DevOps repositories, manage pull requests, and streamline communication through PR comments and reviews. It enables AI agents to discover and interface with Azure DevOps via the Model Context Protocol, solving problems related to repository management and collaboration. Ideal for use cases requiring automated workflow management and integration with Azure DevOps repositories.

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

## Description

Enables AI agents to discover Azure DevOps repositories, manage pull requests, and interact with PR comments and reviews via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/plqac320f6)
- **Repository:** <https://github.com/grimlor/ado-workflows-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": "grimlor-ado-workflows-mcp"
    }
  }
}
```

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