# Azure DevOps

> Use this tool when you need to automate and streamline project management tasks, such as creating and updating work items, managing wiki pages, and querying project data. It solves problems like manual data entry, workflow inefficiencies, and information silos, providing a unified interface for AI agents to interact with Azure DevOps. With inputs like WIQL queries and work item templates, and outputs like updated work items and wiki pages, it's ideal for software development teams using Azure DevOps who want to leverage AI assistance for project management and documentation tasks.

Canonical page: https://skillsregistry.net/skills/krishh-amilineni-azure-devops  
JSON: https://api.skillsregistry.net/v1/skills/krishh-amilineni-azure-devops

## Description

This MCP server implementation provides a bridge to Azure DevOps, enabling AI assistants to interact with work items, wikis, and sprints. It offers tools for creating, updating, and querying work items, managing relationships and attachments, and interacting with wiki pages. The server integrates closely with the Azure DevOps API, supporting features like WIQL queries, work item templates, and batch operations. It's designed for software development teams using Azure DevOps who want to leverage AI assistance for project management and documentation tasks.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/krishh-amilineni-azure-devops)
- **Repository:** <https://github.com/krishna-amilineni-23307/mcp-azuredevops-bridge>

## 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": "krishh-amilineni-azure-devops"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/krishh-amilineni-azure-devops` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/krishh-amilineni-azure-devops/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