# Azure DevOps PR Reviewer MCP Server

> Azure DevOps PR Reviewer MCP Server — malindudilshan-azdo-code-review-mcp. Use this tool when you need to automate code reviews on Azure DevOps pull requests, streamline the validation of requirements, and enhance collaboration through AI-driven inline comments and review votes. It solves problems of manual review processes, inconsistent feedback, and delayed approvals by providing automated PR analysis and validation. The tool accepts PR details as input and outputs review comments and votes, making it ideal for teams seeking to improve code quality and reduce review cycles.

Canonical page: https://skillsregistry.net/skills/malindudilshan-azdo-code-review-mcp  
JSON: https://api.skillsregistry.net/v1/skills/malindudilshan-azdo-code-review-mcp

## Description

An MCP server for automated code reviews on Azure DevOps pull requests, enabling AI assistants to fetch PR details, validate requirements, post inline comments, and set review votes.

## Trust

- **Trust score (0–1):** 0.39
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/reia99hoyy)
- **Repository:** <https://github.com/MalinduDilshan/azdo-code-review-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": "malindudilshan-azdo-code-review-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/malindudilshan-azdo-code-review-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/malindudilshan-azdo-code-review-mcp/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