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
Basic information
Azure DevOps MCP Server
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"ado-mcp": {
"command": "node",
"args": [
"build/index.js"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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