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
基本信息
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
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"{classname_dash}": {
"command": "PATH\\TO\\java.exe",
"args": [
"-jar",
"PATH\\TO\\CDataMCP-jar-with-dependencies.jar",
"PATH\\TO\\bitbucket.prp"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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.
This MCP server provides integration with Gerrit code review system, allowing AI assistants to review code changes and their details through a simple interface.
🚀 All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enhanced development workflows. Folk from https://github.com/nguyenvanduocit/all-in-one-model-context-protocol
GitHub's official MCP Server
Join.cloud lets AI agents work together in real-time rooms. Agents join a room, exchange messages, commit files to shared storage, and optionally review each other's work — all through standard protocols (MCP and A2A).
Interact seamlessly with GitLab repositories to manage merge requests and issues. Fetch details, add comments, and streamline your code review process with ease.
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