Is this server read-only or full CRUD?
This is a read-only MCP server. For full read, write, update, delete, and action capabilities, use the separate CData MCP Server for Bitbucket (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 Bitbucket (beta): https://www.cdata.com/download/download.aspx?sku=KJZK-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\\bitbucket.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。
Bitbucket MCP Server by CData is a read-only Model Context Protocol server that enables large language models like Claude Desktop to query live Bitbucket data using natural language. It wraps the CData JDBC Driver for Bitbucket and exposes Bitbucket tables 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 Bitbucket, create a .prp file with your JDBC connection string, then configure the server in your AI client’s MCP settings (e.g., claude_desktop_config.json). Run the server using java -jar CDataMCP-jar-with-dependencies.jar path/to/bitbucket.prp. The server communicates via stdio.
get_tables, get_columns, and run_query.This is a read-only MCP server. For full read, write, update, delete, and action capabilities, use the separate CData MCP Server for Bitbucket (beta).
Requires Java and Maven for building, plus the CData JDBC Driver for Bitbucket installed and licensed.
The server uses stdio transport, so it can only be used with clients running on the same machine.
Use the CData JDBC Driver’s Connection String utility to set up OAuth or other credentials, then copy the resulting JDBC URL into the `.prp` file.
By default, all tables are exposed. You can limit tables in the `.prp` file using the `Tables` property.
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