经 AI Skill Hub 精选评估,Azure DevOps MCP 获评「强烈推荐」。已获得 1.7k 颗 GitHub Star,这款MCP工具在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 8.0 分,适合有一定技术背景的用户使用。
Azure DevOps 的 MCP 服务器,直接将 Azure DevOps 的强大功能带到您的桌面
Azure DevOps MCP 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
Azure DevOps 的 MCP 服务器,直接将 Azure DevOps 的强大功能带到您的桌面
Azure DevOps MCP 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/microsoft/azure-devops-mcp
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"azure-devops-mcp": {
"command": "npx",
"args": ["-y", "azure-devops-mcp"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 Azure DevOps MCP 执行以下任务... Claude: [自动调用 Azure DevOps MCP MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"azure_devops_mcp": {
"command": "npx",
"args": ["-y", "azure-devops-mcp"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
[!IMPORTANT] The Azure DevOps Remote MCP Server is now available in public preview for all organizations. We recommend migrating to the Remote MCP Server going forward. Learn more
This project provides Azure DevOps MCP tooling for AI agents, with a remote-first onboarding experience and a local server option when you need it.
The Azure DevOps MCP Server brings Azure DevOps context to your agents. Try prompts like:
[!IMPORTANT] Start with the Remote MCP Server first. Use the local MCP Server only if your scenario specifically requires a local stdio setup.
Use this section if you specifically need the local stdio server experience. For most users, start with the Remote MCP Server section above.
For the best experience, use Visual Studio Code and GitHub Copilot. See the getting started documentation to use our MCP Server with other tools such as Visual Studio 2022, Codex, Claude Code, Cursor, Opencode, and Kilocode.
This installation method is the easiest for all users of Visual Studio Code.
🎥 Watch this quick start video to get up and running in under two minutes!
In your project, add a .vscode\mcp.json file with the following content:
{
"inputs": [
{
"id": "ado_org",
"type": "promptString",
"description": "Azure DevOps organization name (e.g. 'contoso')"
}
],
"servers": {
"ado": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@azure-devops/mcp", "${input:ado_org}"]
}
}
}
🔥 To stay up to date with the latest features, you can use our nightly builds. Simply update your mcp.json configuration to use @azure-devops/mcp@next. Here is an updated example:
{
"inputs": [
{
"id": "ado_org",
"type": "promptString",
"description": "Azure DevOps organization name (e.g. 'contoso')"
}
],
"servers": {
"ado": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@azure-devops/mcp@next", "${input:ado_org}"]
}
}
}
Save the file, then click 'Start'.

In chat, switch to Agent Mode.
Click "Select Tools" and choose the available tools.

Open GitHub Copilot Chat and try a prompt like List ADO projects. The first time an ADO tool is executed browser will open prompting to login with your Microsoft account. Please ensure you are using credentials matching selected Azure DevOps organization.
💥 We strongly recommend creating a.github\copilot-instructions.mdin your project. This will enhance your experience using the Azure DevOps MCP Server with GitHub Copilot Chat. To start, just include "This project uses Azure DevOps. Always check to see if the Azure DevOps MCP server has a tool relevant to the user's request" in your copilot instructions file.
See the getting started documentation to use our MCP Server with other tools such as Visual Studio 2022, Codex, Claude Code, and Cursor.
Use this configuration to connect directly to the Azure DevOps-hosted endpoint using streamable HTTP transport:
{
"servers": {
"ado-remote-mcp": {
"url": "https://mcp.dev.azure.com/{organization}",
"type": "http"
}
},
"inputs": []
}
See documentation for additional configuration options.
After saving .vscode/mcp.json, start the server from the MCP view in VS Code, then run a prompt like List ADO projects.
{
"servers": {
"ado": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@azure-devops/mcp", "myorg", "--authentication", "azcli"],
"env": {
"ado_mcp_project": "Contoso",
"ado_mcp_team": "Fabrikam Team"
}
}
}
}
Explore example prompts in our Examples documentation.
For best practices and tips to enhance your experience with the MCP Server, refer to the How-To guide.
See the Troubleshooting guide for help with common issues and logging.
For answers to common questions about the Azure DevOps MCP Server, see the Frequently Asked Questions.
高质量的 Azure DevOps MCP 服务器,使用 TypeScript 开发
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
AI Skill Hub 点评:Azure DevOps MCP 的核心功能完整,质量优秀。对于Claude Desktop / Claude Code 用户来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。
| 原始名称 | azure-devops-mcp |
| 原始描述 | 开源MCP工具:The MCP server for Azure DevOps, bringing the power of Azure DevOps directly to 。⭐1.7k · TypeScript |
| Topics | Azure DevOpsMCPTypeScript |
| GitHub | https://github.com/microsoft/azure-devops-mcp |
| License | MIT |
| 语言 | TypeScript |
收录时间:2026-05-29 · 更新时间:2026-05-30 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端