Is this server read-only or full CRUD?
The project builds a **local, read-only** MCP server. For full read, write, update, delete, and action capabilities, CData offers a separate MCP Server for Twitter Ads.
@CDataSoftware
基本情報
This read-only MCP Server allows you to connect to Twitter Ads data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).
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\\twitter-ads.prp"
]
}
}
}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。
The Twitter Ads MCP Server by CData is a local, read-only Model Context Protocol server built on the CData JDBC Driver for Twitter Ads. It lets Large Language Models (like Claude Desktop) query live Twitter Ads data through natural language, with no SQL required.
Clone the repository, build the JAR with Maven, install and license the CData JDBC Driver for Twitter Ads, create a .prp file with your JDBC connection string, and configure Claude Desktop (or another stdio-client) to launch the server with the JAR and the .prp file. Then ask natural-language questions about your Twitter Ads data.
The project builds a **local, read-only** MCP server. For full read, write, update, delete, and action capabilities, CData offers a separate MCP Server for Twitter Ads.
CData Connect AI is the first managed MCP platform, providing fully remote MCP access. This server is a local alternative that you run yourself.
You need Java (to run the JAR), Maven (to build), and the CData JDBC Driver for Twitter Ads (which requires a license – a trial key “TRIAL” is accepted).
Data stays in Twitter Ads servers; the JDBC driver queries it live. No data is stored locally by the MCP server.
It uses the **stdio** transport, so it can only be used with clients that run on the same machine.

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