MCV Resume MCP Server

MCP for CV/Resume (MCV) is a purpose‑built Model Context Protocol server that turns any structured resume or CV into an interactive, low‑latency data source for AI assistants. By exposing the resume through standard MCP endpoints, developers can give Claude or other agents instant access to a user’s professional history without storing sensitive data on the agent itself. This solves the common problem of “knowledge gaps” in AI conversations where assistants cannot reliably retrieve up‑to‑date personal information, especially when that data is sensitive or frequently updated.

The server runs on Cloudflare Workers, leveraging the platform’s global edge network to keep response times below a few milliseconds. Coupled with Durable Objects, MCV maintains session‑specific state—such as which section of the resume an agent is currently exploring—without requiring a traditional database. The resume data is served in JSON, making it easy to parse and integrate with any tool that understands structured content. Clients can request the entire CV or drill down to specific sections like contact details, education, work experience, projects, and skills, allowing for highly granular interactions.

Key capabilities include:

• MCP‑compatible endpoints that return data in the exact format expected by Claude and other MCP clients.
• Section‑level querying, enabling agents to fetch only the information they need and reduce bandwidth usage.
• Serverless deployment on Cloudflare Workers, eliminating infrastructure maintenance while providing automatic scaling and caching.
• Durable Object state management, ensuring that each user’s interaction context is preserved across multiple requests.

Real‑world scenarios where MCV shines include:

• Professional networking assistants that can pull a user’s latest résumé to craft personalized outreach messages.
• Interview preparation tools that let agents review past projects and achievements before a mock interview session.
• HR chatbots that fetch candidate CVs on demand to answer recruiter questions or populate forms automatically.
• Resume‑editing assistants that offer suggestions based on the current structure and content of a user’s CV.

By integrating MCV into an AI workflow, developers gain a lightweight, secure bridge between personal data and conversational agents. The server’s edge deployment guarantees fast responses, while the Durable Object architecture provides a reliable state layer—all without exposing sensitive information to the AI model itself. This combination of privacy, speed, and fine‑grained data access makes MCV a standout solution for any project that needs to surface résumé information in real time.