Bitbucket Server MCP is an MCP (Model Context Protocol) server designed to facilitate Bitbucket Server Pull Request management. It provides tools and resources to interact with the Bitbucket Server API through the MCP protocol, enabling actions such as creating, retrieving, merging, and declining pull requests, as well as adding comments and fetching diffs or reviews.
Bitbucket Server MCP simplifies interactions with Bitbucket Server by offering a structured way to manage pull requests and related workflows via the MCP protocol. It supports features like default project configuration, various merge strategies, and detailed logging for monitoring and debugging purposes, making it ideal for developers who want seamless integration with Bitbucket Server.
Developers and DevOps teams managing Bitbucket Server repositories will benefit from this tool. It is particularly useful for those who need programmatic access to Bitbucket's APIs for automating PR workflows, integrating with CI/CD pipelines, or enhancing their development processes.
Bitbucket Server MCP can be installed either manually via npm or automatically using Smithery. The installation requires Node.js >= 16, and the server can be configured in VSCode MCP settings or through environment variables.
Bitbucket Server MCP should be used when there is a need to programmatically manage Bitbucket Server pull requests, automate workflows, or integrate Bitbucket functionality into custom applications or tools. Its logging and configuration capabilities also make it suitable for environments requiring detailed operation tracking.
Key features include creating, retrieving, merging, and declining pull requests; adding comments; fetching diffs and reviews; support for multiple merge strategies; and configurable default project settings.
You can install it manually by running `npm install` or automatically via Smithery using the command `npx -y @smithery/cli install @garc33/bitbucket-server-mcp-server --client claude`. Ensure you have Node.js >= 16 installed.
It relies on `@modelcontextprotocol/sdk` for MCP protocol implementation, `axios` for HTTP requests, and `winston` for logging.
Configuration is done in the VSCode MCP settings file or via environment variables like `BITBUCKET_URL`, `BITBUCKET_TOKEN` (or username/password), and optionally `BITBUCKET_DEFAULT_PROJECT`.
The `smithery.yaml` file contains configuration details for Smithery, which is used to simplify the installation process of Bitbucket Server MCP.
MCP（Model Context Protocol，模型上下文協議）是一個開放協議，旨在標準化應用程式如何為大型語言模型（LLM）提供上下文資訊。類似於 AI 應用的「USB-C 端口」，MCP 確保 AI 模型能與各種資料來源和工具無縫連接。
MCP Server 是支援 MCP 協議的伺服器，能以標準化方式在應用程式與 AI 模型之間交換上下文資訊。它為開發者提供了一個便捷的方式，將 AI 模型與資料庫、API 或其他資料來源整合。
MCP Server 通過統一管理 AI 模型與多種資料來源的連接，消除了開發自訂適配器的複雜性。無論是開發者、資料科學家還是 AI 應用建置者，MCP Server 都能簡化整合流程，節省時間與資源。
MCP Server 作為中間橋樑，將來自各種資料來源的上下文資訊轉換為 AI 模型能理解的格式。通過遵循 MCP 協議，它確保資料在應用程式與 AI 模型之間以標準化方式傳輸。
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MCP Server 支援多種資料來源，包括資料庫、API、雲端服務及自訂工具。MCP 協議的靈活性使其能將幾乎任何類型的資料來源連接到 AI 模型。
MCP Server 主要面向開發者、資料科學家與 AI 應用建置者。然而，mcpserver.shop 提供了詳細的文件與指南，幫助不同技術水平的用戶輕鬆上手。
是的，MCP 是一個開源協議，鼓勵社群參與與合作。如需了解更多細節或參與貢獻，請造訪 MCP 官方文件。
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