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Google Cloud Storage MCP Server by CData

@CDataSoftware

基本情報

カテゴリ

ファイルとストレージ

トランスポート

stdio

作者

CDataSoftware

投稿者

Cameron Leblanc

Google Cloud Storage MCP Server by CData について

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

#google-cloud-storage#mcp-server#cdata

Google Cloud Storage MCP Server by CData の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

Google Cloud Storage MCP Server by CData のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

1

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).

2

What are the runtime requirements?

Java, Maven (for building), and the CData JDBC Driver for Google Cloud Storage (requires a trial or licensed key).

3

How is data accessed?

The server communicates over `stdio` transport, so the client and server must run on the same machine.

4

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.

5

How do I configure the server?

Create a `.prp` file with properties like Driver

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