Lucidity MCP

Lucidity MCP is a lightweight, Python‑based Model Context Protocol server that elevates the quality of AI‑generated code by providing structured, prompt‑driven analysis. Instead of relying on a developer to manually review every change, Lucidity automatically evaluates code modifications against a set of ten well‑defined quality dimensions—ranging from complexity and abstraction hygiene to security and performance. The result is a concise, actionable report that can be fed back into the AI’s prompt chain, enabling it to produce cleaner, more maintainable code from the outset.

At its core, Lucidity operates by comparing a diff (typically produced by Git) against the original source. This git‑aware analysis allows it to pinpoint unintended deletions, hallucinated references, or subtle style drift that might otherwise slip past a human eye. The server is language‑agnostic: any programming language understood by the AI assistant can be evaluated, making Lucidity a versatile companion for polyglot projects. Developers can even narrow the analysis to specific issue types—such as focusing solely on security or performance—to match project priorities.

The server’s architecture is deliberately minimal. It exposes a single tool over the MCP interface, delivering structured outputs that include severity ratings, code snippets, and concrete refactoring suggestions. Because it follows the MCP specification, Claude or any other compliant AI can connect via a simple URI () and invoke the tool without additional glue code. The lightweight design means it can run in a terminal using stdio for quick local checks or expose an SSE endpoint for integration into CI/CD pipelines and IDE extensions.

Lucidity’s real‑world value shines in pre‑commit reviews, pull request gating, and continuous integration workflows. By catching quality regressions early, teams reduce technical debt, lower the cost of future maintenance, and maintain a consistent codebase. Its extensible framework also invites contributors to add new issue types or refine detection heuristics, ensuring the tool evolves alongside emerging best practices. In short, Lucidity MCP turns routine code analysis into an intelligent, AI‑friendly service that keeps developers confident in every commit.