Question 1

What is the CData MCP Server for Azure DevOps?

Accepted Answer

The CData MCP Server for Azure DevOps allows LLMs (like Claude Desktop) to query live Azure DevOps data using natural language. It leverages the CData JDBC Driver to expose Azure DevOps data as SQL models, making it accessible to AI applications.

Question 2

What are the benefits of using the CData MCP Server?

Accepted Answer

Key benefits include seamless integration with LLMs, natural language querying, live data access, simplified setup, and enhanced AI-powered reporting and project management.

Question 3

What is an MCP (Model Context Protocol) Server?

Accepted Answer

MCP is an open protocol that standardizes how applications provide context to LLMs. An MCP server acts as a bridge, allowing AI models to access and interact with external data sources and tools.

Question 4

What is the CData JDBC Driver?

Accepted Answer

The CData JDBC Driver connects to Azure DevOps by exposing data as relational SQL models. This enables standard SQL queries to retrieve and manipulate Azure DevOps data.

Question 5

Is the CData MCP Server read-only?

Accepted Answer

The described project builds a read-only MCP server. However, free (beta) read/write servers are available from CData.

Question 6

What is a `.prp` file and why is it needed?

Accepted Answer

The `.prp` file contains the connection configuration details for the JDBC driver, including the driver path, class name, JDBC URL, and any table prefixes. It is essential for configuring the connection to your Azure DevOps instance.

Question 7

How do I configure Claude Desktop to use the CData MCP Server?

Accepted Answer

You need to modify the `claude_desktop_config.json` file to add a new entry for the MCP server, specifying the command and arguments required to run the server.

Question 8

What if I cannot see my CData MCP Server in Claude Desktop?

Accepted Answer

Ensure you have fully quit Claude Desktop (using Task Manager on Windows or Activity Monitor on Mac) and then reopen it.

Question 9

What tools are available through the MCP Server?

Accepted Answer

The main tools are `{servername}_get_tables` (to list available tables), `{servername}_get_columns` (to list columns for a table), and `{servername}_run_query` (to execute SQL queries).

Question 10

Where can I get help if I have trouble connecting to my data source?

Accepted Answer

Contact the CData Support Team for assistance.

Question 11

What license is the MCP server released under?

Accepted Answer

The MCP server is licensed under the MIT License, allowing you to use, modify, and distribute the software freely, subject to the license terms.

Question 12

How does UBOS enhance AI Agent development with the CData MCP Server?

Accepted Answer

UBOS provides a full-stack platform for orchestrating AI Agents, connecting them with enterprise data, building custom AI Agents with your LLM model, and creating Multi-Agent Systems, thus maximizing the value of data access via the CData MCP server.

Azure DevOps MCP Server by CData

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