Google Drive MCP Server By Cdata

🚀 Google Drive MCP Server by CData

CData's Model Context Protocol (MCP) Server for Google Drive enables LLMs to query live data from Google Drive with ease, eliminating the need for SQL knowledge.

🚀 Quick Start

:heavy_exclamation_mark: This project builds a read - only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Google Drive (beta).

✨ Features

• Allows LLMs (e.g., Claude Desktop) to query live data from Google Drive.
• Wraps the CData JDBC Driver for Google Drive, exposing data through a simple MCP interface.
• Enables natural - language queries without SQL.

📦 Installation

1. Clone the repository

git clone https://github.com/cdatasoftware/google-drive-mcp-server-by-cdata.git
cd google-drive-mcp-server-by-cdata

2. Build the server

mvn clean install

This creates the JAR file: CDataMCP - jar - with - dependencies.jar

3. Download and install the CData JDBC Driver for Google Drive

https://www.cdata.com/drivers/googledrive/download/jdbc

4. License the CData JDBC Driver

• Navigate to the lib folder in the installation directory:
  • (Windows) C:\Program Files\CData\CData JDBC Driver for Google Drive\
  • (Mac/Linux) /Applications/CData JDBC Driver for Google Drive/
• Run the command java -jar cdata.jdbc.googledrive.jar --license
• Enter your name, email, and "TRIAL" (or your license key).

5. Configure your connection to the data source

• Run the command java -jar cdata.jdbc.googledrive.jar to open the Connection String utility.
• Configure the connection string and click "Test Connection".

  ⚠️ Important Note

  If the data sources uses OAuth, you will need to authenticate in your browser.

• Once successful, copy the connection string for use later.

6. Create a .prp file for your JDBC connection

Prefix=googledrive
ServerName=CDataGoogleDrive
ServerVersion=1.0
DriverPath=PATH\TO\cdata.jdbc.googledrive.jar
DriverClass=cdata.jdbc.googledrive.GoogleDriveDriver
JdbcUrl=jdbc:googledrive:InitiateOAuth=GETANDREFRESH;
Tables=

💻 Usage Examples

Using the Server with Claude Desktop

1. Create the config file for Claude Desktop

Windows

{
    "mcpServers": {
        "{classname_dash}": {
            "command": "PATH\\TO\\java.exe",
            "args": [
                "-jar",
                "PATH\\TO\\CDataMCP-jar-with-dependencies.jar",
                "PATH\\TO\\google-drive.prp"
            ]
        }
    }
}

Linux/Mac

{
    "mcpServers": {
        "{classname_dash}": {
            "command": "/PATH/TO/java",
            "args": [
                "-jar",
                "/PATH/TO/CDataMCP-jar-with-dependencies.jar",
                "/PATH/TO/google-drive.prp"
            ]
        }
    }
}

If needed, copy the config file to the appropriate directory: Windows

cp C:\PATH\TO\claude_desktop_config.json %APPDATA%\Claude\claude_desktop_config.json

Linux/Mac

cp /PATH/TO/claude_desktop_config.json /Users/{user}/Library/Application\ Support/Claude/claude_desktop_config.json

2. Run or refresh your client

⚠️ Important Note

You may need to fully exit or quit your Claude Desktop client and re - open it for the MCP Servers to appear.

Running the Server

java -jar /PATH/TO/CDataMCP-jar-with-dependencies.jar /PATH/TO/Salesforce.prp

⚠️ Important Note

The server uses stdio so can only be used with clients that run on the same machine as the server.

Usage Details

Once the MCP Server is configured, the AI client can use the built - in tools to read, write, update, and delete the underlying data. Simply ask the client natural - language questions about the data system, e.g.:

• "What is the correlation between my closed won opportunities and the account industry?"
• "How many open tickets do I have in the SUPPORT project?"
• "Can you tell me what calendar events I have today?"

Tools & Descriptions

In the definitions below, {servername} refers to the name of the MCP Server in the config file (e.g., {classname_dash} above).

• {servername}_get_tables: Retrieves a list of tables available in the data source. Use the {servername}_get_columns tool to list available columns on a table. The output of the tool will be returned in CSV format, with the first line containing column headers.
• {servername}_get_columns: Retrieves a list of columns for a table. Use the {servername}_get_tables tool to get a list of available tables. The output of the tool will be returned in CSV format, with the first line containing column headers.
• {servername}_run_query: Execute a SQL SELECT query

📚 Documentation

Troubleshooting

• If you cannot see your CData MCP Server in Claude Desktop, be sure that you have fully quit Claude Desktop (Windows: use the Task Manager, Mac: use the Activity Monitor).
• If Claude Desktop is unable to retrieve data, be sure that you have configured your connection properly. Use the Connection String builder to create the connection string and copy it into the property (.prp) file.
• If you are having trouble connecting to your data source, contact the CData Support Team.
• If you are having trouble using the MCP server, or have any other feedback, join the CData Community.

📄 License

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

All Supported Sources