What are the required configuration values?
You must provide `ADO_ORGANIZATION` (Azure DevOps organization name) and `ADO_PAT` (Personal Access Token). The default project (`ADO_PROJECT`) is optional.
@aaronsb
基本信息
Azure DevOps MCP Server
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"ado-mcp": {
"command": "node",
"args": [
"build/index.js"
]
}
}
}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。
This MCP (Model Context Protocol) server provides tools for interacting with Azure DevOps services through AI assistants. It uses an entity-based architecture that groups operations by resource type (projects, repositories, work items, pull requests, pipelines) rather than exposing many atomic tools. It is intended for developers and teams who want to manage Azure DevOps resources via AI-powered chat interfaces.
Install the package, configure it via environment variables or a config/azuredevops.json file, then run the server (node build/index.js or via Docker). Required environment variables are ADO_ORGANIZATION and ADO_PAT. The server exposes entity tools that accept an operation field (e.g., list, get, create) along with parameters specific to that operation.
You must provide `ADO_ORGANIZATION` (Azure DevOps organization name) and `ADO_PAT` (Personal Access Token). The default project (`ADO_PROJECT`) is optional.
All list operations support cursor-based pagination. You can set `maxResults` to control page size and use a `continuationToken` from a previous response to fetch the next page.
The server provides entity tools for Projects, Repositories, Work Items, Pull Requests, and Pipelines. Each tool offers multiple operations (e.g., list, get, create).
Authentication uses a Personal Access Token (PAT) provided either via the `ADO_PAT` environment variable or the `credentials.pat` field in the configuration file.
The server runs on Node.js. It is built with `npm run build` and executed with `node build/index.js`. A Docker image is also available.
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