JSON Resume MCP Server

The JSON Resume MCP server bridges the gap between developers’ code repositories and their professional profiles by letting AI assistants automatically keep a JSON Resume up to date. Instead of manually editing resume files, developers can ask an AI companion—such as Claude running in Windsurf or Cursor—to “enhance my resume with my current project.” The server then scans the local codebase, extracts skills, frameworks, and project details, generates polished descriptions via OpenAI, and writes the changes back to a GitHub Gist that hosts the resume. This eliminates repetitive copy‑and‑paste work and ensures that a candidate’s public résumé always reflects the most recent work.

At its core, the server offers three tightly coupled capabilities. First, it detects whether a user already has a JSON Resume stored on GitHub and creates one if necessary, guaranteeing a single source of truth. Second, it performs static analysis of the codebase—leveraging file structure heuristics and language detection—to surface relevant technical competencies. Third, it uses OpenAI to translate those findings into concise, professional bullet points that conform to the JSON Resume schema. Validation is performed with TypeScript and Zod, so any updates are guaranteed to pass the official JSON Resume standard before being pushed back to GitHub.

Developers benefit from a fully automated, end‑to‑end workflow that integrates seamlessly with existing GitHub workflows and IDEs. The server’s MCP interface exposes simple tools for “checkResume,” “analyzeCodebase,” and “updateResume,” allowing AI assistants to orchestrate the entire process with a single prompt. Because it stores the resume in a GitHub Gist, the result is instantly shareable via a public URL and can be embedded in personal websites or LinkedIn profiles.

Real‑world scenarios that gain from this server include job seekers who need to showcase recent side projects, open‑source contributors who want their contributions reflected in a résumé, or teams that maintain internal portfolios. By automating resume updates, the server reduces human error, ensures consistency across channels, and frees developers to focus on coding rather than documentation.

What sets this MCP server apart is its tight coupling with the JSON Resume ecosystem. It respects the registry’s schema, uses GitHub Gists for versioned storage, and relies on proven AI generation to produce high‑quality content—all wrapped in a lightweight MCP implementation that can be dropped into any AI‑enabled IDE with minimal configuration.