Is this server read‑only or does it support writes?
This project is read‑only. For full read, write, update, delete, and action capabilities, CData offers a separate free beta MCP server.
@CDataSoftware
基本情報
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 Wave Financial (beta): https://www.cdata.com/download/download.aspx?sku=HWZK-V&type=beta
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\\wave-financial.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。
Wave Financial MCP Server by CData is a read-only MCP server that lets LLMs like Claude Desktop query live data from Wave Financial. It wraps the CData JDBC Driver for Wave Financial, exposing the data as relational SQL models through a simple MCP interface.
Clone the repository, build the JAR with mvn clean install, download and license the CData JDBC Driver for Wave Financial, create a .prp file with your JDBC connection string, then configure your MCP client (e.g., Claude Desktop) to run the server using java -jar with the .prp file. Ask natural language questions to retrieve data.
run_query toolget_tables and get_columnsThis project is read‑only. For full read, write, update, delete, and action capabilities, CData offers a separate free beta MCP server.
You need Java, Maven (to build), and the CData JDBC Driver for Wave Financial (download and license separately).
Create a `.prp` file that includes the JDBC driver path, driver class (`cdata.jdbc.wavefinancial.WaveFinancialDriver`), JDBC URL (e.g., `jdbc:wavefinancial:InitiateOAuth=GETANDREFRESH;`), and optional table listing.
The server uses stdio, so it can only be used with clients running on the same machine.
Troubleshooting steps are in the README; you can also contact CData Support or join the CData Community for assistance.

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