The Azure DevOps Model Context Protocol (MCP) server allows AI assistants to interact with Azure DevOps resources programmatically, enabling automated operations for project management, work items, repositories, and code search capabilities.
Before installation, make sure you have:
Follow these steps to set up the Azure DevOps MCP server:
Clone the repository:
git clone <repository-url>
cd azure-devops-mcp
Install dependencies:
npm install
Configure environment variables:
cp .env.example .env
Edit the .env
file to include the following required variables:
AZURE_DEVOPS_ORG_URL
: Your Azure DevOps organization URLAZURE_DEVOPS_PAT
: Personal Access Token for Azure DevOps.env.example
To start the MCP server:
npm start
The server will run on the default port (3000) unless otherwise specified in your environment variables.
After starting the server, you can add it to Cursor:
http://localhost:3000/sse
when configuring in Cursor.env
fileOnce configured, the MCP server provides the following capabilities:
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.