MCP DevOps On-Premise
Model Context Protocol MCP server for on-premises Azure DevOps that lets AI assistants browse repositories, review pull requests, manage work items, and interact with wikis.
接入你的智能体
發布者自己的指令。不是 PlugMCP 端點。
用我們的金鑰與日誌託管一份副本。
uvx mcp-devops-onpremise==2.2.0Claude Code 沒有本機指令的安裝連結。複製下方指令並在終端機中執行。
DEVOPS_API_URL=<value> DEVOPS_USERNAME=<value> DEVOPS_PASSWORD=<secret> DEVOPS_PAT=<secret> DEVOPS_TOKEN=<secret> claude mcp add io.github.zwitbaum-mcp-devops-on-prem -- uvx mcp-devops-onpremise==2.2.0在終端機中執行。
{ "mcpServers": { "io.github.zwitbaum-mcp-devops-on-prem": { "command": "uvx", "args": [ "mcp-devops-onpremise==2.2.0" ], "env": { "DEVOPS_API_URL": "<value>", "DEVOPS_USERNAME": "<value>", "DEVOPS_PASSWORD": "<secret>", "DEVOPS_PAT": "<secret>", "DEVOPS_TOKEN": "<secret>" } } }}claude_desktop_config.json
遠端 URL 還是本機指令? 兩種安裝方式的差異
來自發布者
Model Context Protocol MCP server for on-premises Azure DevOps that lets AI assistants browse repositories, review pull requests, manage work items, and interact with wikis.
MCP for Azure DevOps Server (formerly TFS), on-premises. Not for Azure DevOps Services.
Many organizations use on-premise DevOps solutions such as TFS or Azure DevOps Server in their projects. Integrating these systems with modern agentic AI tools and LLMs can be difficult. The official Microsoft Azure DevOps MCP server does not support these environments and is unlikely to support them in the future.
This MCP server closes that gap and enables smooth integration with on-premise DevOps systems.
This project is under active development, with features continuously added to meet current requirements. Community needs are highly valued — if you miss any features, please submit an Issue. User-requested features are fast-tracked and will be prioritized and added as soon as possible.
One of the most important features of this MCP server is NTLM authentication support. NTLM is required by many on-premises and enterprise environments where users authenticate with Windows domain credentials, either directly or over VPN. Most MCP servers for Azure DevOps target only cloud-hosted Azure DevOps Services with token-based auth and cannot connect to these environments.
Python 3.10+ and uv are required. If not yet installed, see installation guide.
Click one of the buttons below to install directly in your IDE. You will be prompted for credentials:
For other platforms, see Manual Installation in the Getting Started guide.
The MCP server can be installed manually in the following AI tools: VS Code, Visual Studio, Cursor, Goose, LM Studio, Amp, Claude Code, Claude Desktop, Codex, Gemini CLI, OpenCode, Qodo Gen, Warp, Windsurf, GitHub Copilot CLI, GitHub Copilot Coding Agent, and others.
For step-by-step instructions, see Manual Installation in the Getting Started guide.
The DEVOPS_API_URL must point to your full project URL:
https://<your-devops-server>/<organization>/<project>
The server supports three authentication methods. If you are unsure which one to use, start with NTLM because it is the most common for on-prem/VPN setups.
For detailed setup instructions for each method, see Authentication in the Getting Started guide.
{
"mcpServers": {
"devops-onprem": {
"command": "uvx",
"args": ["mcp-devops-onpremise@latest"],
"env": {
"DEVOPS_API_URL": "https://your-devops-server/your-organization/your-project",
"DEVOPS_USERNAME": "DOMAIN\\your-username",
"DEVOPS_PASSWORD": "your-password"
}
}
}
}
{
"mcpServers": {
"devops-onprem": {
"command": "uvx",
"args": ["mcp-devops-onpremise@latest"],
"env": {
"DEVOPS_API_URL": "https://your-devops-server/your-organization/your-project",
"DEVOPS_PAT": "your-personal-access-token"
}
}
}
}
If you used a permanent install, replace
"command": "uvx"with"command": "mcp-devops-onpremise"and remove the"args"line.
All configuration examples use mcp-devops-onpremise@latest, which instructs uvx to fetch the latest version automatically on every run.
For permanent installs and release notes, see Updating in the Getting Started guide.
# Install dev dependencies
uv sync --group dev
# Run linting
uv run ruff check src/
uv run black --check src/
# Run tests
uv run pytest tests/
MCP for Azure DevOps Server (formerly TFS), on-premises. Not for Azure DevOps Services.
{ "mcpServers": { "io.github.zwitbaum-mcp-devops-on-prem": { "command": "uvx", "args": [ "mcp-devops-onpremise==2.2.0" ], "env": { "DEVOPS_API_URL": "<value>", "DEVOPS_USERNAME": "<value>", "DEVOPS_PASSWORD": "<secret>", "DEVOPS_PAT": "<secret>", "DEVOPS_TOKEN": "<secret>" } } }}工具
尚無工具清單。遠端伺服器會在首次健康檢查後取得工具清單。
常見問題
在本頁複製適用於 Cursor、Claude Desktop、Claude Code 或 VS Code 的 stdio 設定。它使用發布者的安裝方式,而不是 PlugMCP 代理伺服器。
發布者列出了以下環境變數:DEVOPS_API_URL, DEVOPS_USERNAME, DEVOPS_PASSWORD, DEVOPS_PAT, DEVOPS_TOKEN。
Azure DevOps Server (formerly TFS) 透過 stdio 在本機執行。
上次檢查時間:2026-11-15。 MCP for Azure DevOps Server (formerly TFS), on-premises. Not for Azure DevOps Services.