# azure-devops-mcp-remote

> Use this tool when you need to manage and interact with Azure DevOps projects using natural language commands, solving problems such as automating workflows, tracking work items, and collaborating on code repositories. It accepts natural language inputs and outputs relevant project information, with remote HTTP/SSE transport and OBO authentication enabling secure interactions. Ideal for use cases where AI-driven project management and automation are required, streamlining development and collaboration processes.

Canonical page: https://skillsregistry.net/skills/fsaito-github-azure-devops-mcp-remote  
JSON: https://api.skillsregistry.net/v1/skills/fsaito-github-azure-devops-mcp-remote

## Description

Enables AI assistants to interact with Azure DevOps projects through natural language, supporting work items, repositories, pipelines, wikis, and more, with remote HTTP/SSE transport and OBO authentication.

## Trust

- **Trust score (0–1):** 0.60
- **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/co14lm5dic)
- **Repository:** <https://github.com/fsaito-github/azure-devops-mcp-remote>

## 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": "fsaito-github-azure-devops-mcp-remote"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fsaito-github-azure-devops-mcp-remote` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fsaito-github-azure-devops-mcp-remote/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