Google Cloud Storage MCP Server by CData
@CDataSoftware
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 Cloud Storage (beta): https://www.cdata.com/download/download.aspx?sku=HPZK-V&type=beta
概览
What is Google Cloud Storage MCP Server by CData?
Google Cloud Storage MCP Server by CData is a read-only Model Context Protocol server that allows LLMs (such as Claude Desktop) to query live data from Google Cloud Storage using natural language. It is built on the CData JDBC Driver for Google Cloud Storage, which exposes the storage as relational SQL models.
How to use Google Cloud Storage MCP Server by CData?
Clone the repository, build with mvn clean install, download and license the CData JDBC Driver for Google Cloud Storage, configure a connection string using the driver’s utility, create a .prp file with required properties (Prefix, ServerName, DriverPath, DriverClass, JdbcUrl, etc.), and add an entry to the client’s MCP configuration (e.g., claude_desktop_config.json) pointing to java -jar CDataMCP-jar-with-dependencies.jar <prp-file>. The server uses stdio transport, so it must run on the same machine as the client.
Key features of Google Cloud Storage MCP Server by CData
- Read-only access to Google Cloud Storage data
- Exposes data as relational SQL models
- Three built-in MCP tools: get_tables, get_columns, run_query
- Natural language interface through compatible LLM clients
- Standard MCP configuration for easy setup
Use cases of Google Cloud Storage MCP Server by CData
- Querying cloud storage metadata with natural language
- Analyzing stored data without writing SQL
- Integrating Google Cloud Storage data into AI workflows
- Retrieving live storage information for decision support
FAQ from Google Cloud Storage MCP Server by CData
Is this server read-only?
Yes. This server provides read-only access. For full CRUD capabilities, see the separate CData MCP Server for Google Cloud Storage (beta).
What are the runtime requirements?
Java, Maven (for building), and the CData JDBC Driver for Google Cloud Storage (requires a trial or licensed key).
How is data accessed?
The server communicates over stdio transport, so the client and server must run on the same machine.
What tools does the server expose?
Three tools: {prefix}_get_tables lists available tables, {prefix}_get_columns lists columns of a table, and {prefix}_run_query executes a SQL SELECT query. Results are returned in CSV format.
How do I configure the server?
Create a .prp file with properties like Driver
