Claude Desktop connects to Azure DevOps through the CData MCP Server for Azure DevOps using the Model Context Protocol (MCP).

When you launch Claude, it automatically detects MCP connections registered during setup. These connections are created and saved using the MCP Configuration Tool, which is installed with the MCP Server.

Each saved connection is recognized by Claude and can be referenced by name when asking questions.

Installing Claude

Claude Desktop is a standalone application that enables natural language querying across supported data sources using the Model Context Protocol (MCP).

To connect to Azure DevOps via MCP, you first need to install the Claude Desktop application.

You can download the latest version from the official Claude Download Page.

After installing Claude Desktop, you can configure your MCP connection using the CData MCP Driver for Azure DevOps.

How Claude Uses the Server

When you ask Claude a question, it launches the corresponding MCP Server connection, reads the available tool descriptions provided by the connector, and generates a secure query in the background.

There is no need to write SQL or teach Claude how to query your data. Each tool is self-describing, and Claude consumes those descriptions to determine how to retrieve the right information.

Example Prompts

After setup, you can ask Claude natural-language questions like:

• "How many open bugs are assigned to me?"
• "List all high-priority issues in the 'Mobile App' project created this month."
• "Which tasks in the current sprint are still in 'To Do'?"
• "What issues were resolved last week and by whom?"
• "Show the status change history for issue JIRA-1234."
• "Who has the most unresolved tickets right now?"
• "Summarize issue counts by status for the 'Website Redesign' epic."
• "Which projects have the most overdue issues?"
• "List all issues with a custom field value of 'Blocked'."
• "Which issues have been in 'In Progress' for more than 5 days?"

Claude securely executes the query using the MCP Server and responds using the live results from Azure DevOps.