Is this MCP server read-only?
Yes, this project builds a read-only MCP server. For full read, write, update, delete, and action capabilities, CData offers a separate free CData MCP Server for Elasticsearch (beta).
@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 Elasticsearch (beta)](https://www.cdata.com/download/download.aspx?sku=EEZK-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\\elasticsearch.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。
Elasticsearch MCP Server by CData is a read-only Model Context Protocol (MCP) server that allows LLMs such as Claude Desktop to query live Elasticsearch data using natural language. It wraps the CData JDBC Driver for Elasticsearch, which exposes Elasticsearch as relational SQL models, and makes that data available through a simple MCP interface — no SQL required.
Clone the repository, build the JAR with Maven (mvn clean install), download and license the CData JDBC Driver for Elasticsearch, configure a connection string using the driver's utility, and create a .prp file with JDBC properties. Then add the server entry to your Claude Desktop config file (claude_desktop_config.json) pointing to Java and the JAR, and restart Claude Desktop. The server runs via stdio.
get_tables, get_columns, and run_query.prp) fileYes, this project builds a read-only MCP server. For full read, write, update, delete, and action capabilities, CData offers a separate free CData MCP Server for Elasticsearch (beta).
You need Java (to run the JAR file), the CData JDBC Driver for Elasticsearch (installed and licensed), and a client that supports MCP over `stdio` (like Claude Desktop).
It uses a JDBC connection string configured in a `.prp` file. The driver models Elasticsearch data as relational tables and exposes them via MCP tools.
The server uses `stdio` transport, so it can only be used with clients that run on the same machine as the server.
Data remains in the live Elasticsearch instance; the server retrieves it on demand. No data is stored by the MCP server itself.

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