Does this server support Azure DevOps Server (on-premises)?
Yes. On-premises connections require Personal Access Token (PAT) authentication and the organization URL set to the Server collection (e.g., `https://server:8080/tfs/DefaultCollection`).
Azure DevOps MCP Server
@Tiberriver256
基本信息
关于 Azure DevOps MCP Server
An MCP server for Azure DevOps
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": {
"mcp-server-azure-devops": {
"command": "npx",
"args": [
"-y",
"@tiberriver256/mcp-server-azure-devops"
]
}
}
}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。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
概览
What is Azure DevOps MCP Server?
A community-built Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with Azure DevOps resources (cloud and on-premises) through a standardized set of tools. It supports Azure DevOps Server (on-prem) for older versions that may not work with Microsoft's official server, as well as Azure DevOps Services (cloud).
How to use Azure DevOps MCP Server?
Install via npx (npx -y @tiberriver256/mcp-server-azure-devops) or run from source. Configure authentication with a Personal Access Token (PAT), Azure Identity, or Azure CLI. Set the required environment variable AZURE_DEVOPS_ORG_URL (organization URL or Server collection URL) and, optionally, AZURE_DEVOPS_DEFAULT_PROJECT. Integrate with Claude Desktop or Cursor AI by adding a JSON configuration block in your MCP settings file.
Key features of Azure DevOps MCP Server
- Manage projects, work items, repositories, pull requests, branches, and pipelines.
- Create and update work items, branches, pull requests, and commits.
- Search code, wiki pages, and work items across projects.
- Access repository content via standardized resource URIs.
- Three authentication methods: PAT, Azure Identity, and Azure CLI.
- Supports both Azure DevOps Services (cloud) and Azure DevOps Server (on-prem).
Use cases of Azure DevOps MCP Server
- Automate DevOps workflows using natural language via an AI assistant.
- Retrieve and update work items, pull requests, or pipeline runs on demand.
- Browse repository files and commit changes without leaving the chat interface.
- Manage Azure DevOps resources in on-premises environments where the official server may not work.
- Integrate Azure DevOps operations into larger MCP-based AI toolchains.
常见问题
How do I authenticate with Azure DevOps Services?
You can use a Personal Access Token (PAT), Azure Identity (DefaultAzureCredential), or Azure CLI login. Set `AZURE_DEVOPS_AUTH_METHOD` to `pat`, `azure-identity`, or `azure-cli` and provide the corresponding credentials.
What environment variables are required?
`AZURE_DEVOPS_ORG_URL` is required. All other variables are optional but needed for specific authentication methods or customization: `AZURE_DEVOPS_AUTH_METHOD` (default `azure-identity`), `AZURE_DEVOPS_PAT`, `AZURE_DEVOPS_DEFAULT_PROJECT`, `AZURE_DEVOPS_API_VERSION`, `AZURE_TENANT_ID`, `AZURE_CLIENT_ID`, `AZURE_CLIENT_SECRET`, and `LOG_LEVEL`.
Is this the official Microsoft MCP server for Azure DevOps?
No. This is a community server. Microsoft maintains an official, product-supported server at [microsoft/azure-devops-mcp](https://github.com/microsoft/azure-devops-mcp). This community server is a good alternative when you need on-premises support or features not yet available in the official server.
What runtime does it require?
Node.js v16 or later and npm or yarn. The server runs as a local process and communicates via MCP (stdio-based transport).
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