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Azure DevOps MCP Server

@aymenfurter

代码仓库

基本信息

分类

云与基础设施

传输方式

stdio

作者

aymenfurter

关于 Azure DevOps MCP Server

暂无概览

#ado-mcp-server#azure-devops#work-item-management

Azure DevOps MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "ado-mcp-server-python": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "ado-mcp-server",
        "."
      ]
    }
  }
}

Azure DevOps MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Azure DevOps MCP Server?

Azure DevOps MCP Server is a Model Context Protocol (MCP) server that provides work item management capabilities for Azure DevOps. It is intended for developers who want to integrate AI assistants with Azure DevOps using a Docker container and a Personal Access Token.

How to use Azure DevOps MCP Server?

Build the Docker image with docker build -t ado-mcp-server . then run the container with three environment variables: ADO_PERSONAL_ACCESS_TOKEN, ADO_ORGANIZATION_URL, and ADO_PROJECT_NAME. For VS Code integration, add the provided JSON configuration to your editor settings.

Key features of Azure DevOps MCP Server

  • Search existing work items
  • Create new work items
  • Update existing work items
  • Retrieve work item states
  • Simple command-line interface for testing

Use cases of Azure DevOps MCP Server

  • Querying work items from an AI chat assistant
  • Automatically creating work items based on user requests
  • Updating work item status or fields via natural language
  • Getting an overview of work item states in a project

常见问题

1

What are the prerequisites to use this server?

Docker, an Azure DevOps Personal Access Token with appropriate permissions, and the organization URL and project name.

2

How do I integrate it with VS Code?

Add the provided JSON configuration block to your VS Code settings, using `docker` as the command and passing the required environment variables through prompts.

3

What operations does the server support?

It supports searching, creating, updating work items, and getting work item states.

4

What environment variables must be set?

`ADO_PERSONAL_ACCESS_TOKEN`, `ADO_ORGANIZATION_URL`, and `ADO_PROJECT_NAME`.

5

How can I run tests for the server?

Use `docker run` with the same environment variables and append `python -m pytest` as the command.

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