Coding Merge Request MCP Server

Overview

The Mcp Coding Mr server bridges the gap between AI assistants and the CODING.net Merge Request (MR) workflow. By exposing a dedicated MCP tool, it allows an assistant such as Claude to query, retrieve, and present detailed information about any merge request hosted on CODING.net. This capability is invaluable for developers who need to incorporate code review data, commit histories, or MR status directly into conversational interfaces without manual browsing.

At its core, the server implements a single, well‑defined tool named . When invoked with the URL of a merge request, it authenticates against CODING.net using supplied credentials and pulls all relevant metadata—author, target branch, change summary, diff statistics, review comments, and merge status. The assistant then returns a human‑readable description that can be embedded in documentation, chat logs, or issue trackers. This removes the need for developers to switch contexts between IDEs and web dashboards, streamlining collaboration and reducing friction during code reviews.

Key features include:

• Secure credential handling via environment variables, ensuring tokens are never exposed in logs or network traffic.
• Rich MR insight: the tool surfaces not only basic fields but also nested data such as individual commit messages, line‑by‑line diff summaries, and reviewer feedback.
• Simple JSON interface: the tool accepts a single parameter, making it trivial to integrate into any MCP‑compliant client.
• Extensibility: while the current release focuses on description, the server’s architecture can be expanded to support actions like approving or merging MRs in future iterations.

Typical use cases span the full software delivery pipeline. A team lead might ask an assistant, “What’s the status of MR #123?” and receive a concise report that includes whether all tests passed, who is assigned to review, and any outstanding comments. During onboarding, new contributors can request a summary of an MR to understand the code changes before diving into the repository. In continuous integration workflows, bots can trigger the tool to fetch MR details and feed them into dashboards or notification systems.

Integration with AI workflows is straightforward: the MCP client simply registers as a server, and any assistant that supports MCP can call . The result is a seamless, conversational bridge between the codebase and the AI, enabling developers to ask questions about merge requests and receive structured, up‑to‑date answers without leaving their chat environment.