Grumpy Senior Developer MCP Server

Overview

Grumpy Senior Developer as MCP server is a purpose‑built Model Context Protocol (MCP) endpoint that injects a seasoned, sardonic code reviewer into your AI workflow. It solves the common pain point of “vibe‑coded” pull requests that arrive with little structure, incomplete comments, or questionable design choices. By surfacing a senior‑dev perspective, the server provides immediate, actionable feedback in the same tone that developers often expect when a peer reviews their work—straight‑forward, no‑frills, and occasionally caustic.

The server exposes a single tool that accepts code snippets or entire files and returns a Markdown‑formatted critique. The feedback covers syntax quirks, style violations, architectural concerns, and missing context. This makes it especially valuable for teams that rely on LLMs to augment code reviews, onboarding new contributors, or teaching best practices. Developers can integrate the server into their existing MCP‑enabled assistants (e.g., Claude, Gemini) and trigger reviews on demand or automatically during continuous integration pipelines.

Key capabilities include:

• Contextual analysis: The server parses the supplied code, identifies language‑specific patterns, and references common conventions without needing external knowledge bases.
• Tone control: The review style is intentionally grumpy, mirroring the voice of a seasoned senior dev. This human‑like tone can help developers internalize feedback more effectively than bland, robotic comments.
• Markdown output: The response is ready for consumption in GitHub PR comments, Slack messages, or documentation tools that render Markdown natively.
• Extensibility: While the core server focuses on JavaScript/TypeScript, its MCP interface allows easy addition of new language handlers or custom rule sets.

Typical use cases span from individual developers seeking quick feedback on a snippet to teams automating review steps in CI/CD. In an educational setting, the server can serve as a teaching aid, demonstrating how seasoned developers approach code quality. For larger organizations, it acts as an audit layer that enforces coding standards before merge events.

Integrating the server into an AI workflow is straightforward: a client sends a request via MCP, receives the review, and can feed that feedback back into a larger LLM prompt or display it directly to the user. Because MCP standardizes this interaction, developers can swap in different tools (e.g., a more formal review engine) without changing the surrounding architecture. The Grumpy Senior Developer MCP server thus provides a lightweight, opinionated, and highly expressive addition to any AI‑augmented development pipeline.