The Rezi Model Context Protocol (MCP) server provides a standardized interface for AI tools to connect directly to users' Rezi accounts and work with resume data programmatically. Instead of manually copying resume JSON into chat interfaces, users can grant AI assistants secure access to read, update, and manage their resumes through the MCP protocol.
Key Features
- Secure Resume Access: AI tools can list, read, and write resumes through authenticated user sessions
- Multiple Client Support: Compatible with Codex, Claude Desktop, Cursor, Gemini CLI, Lovable, and any streamable HTTP MCP client
- Session-Based Security: Credentials stored in memory only, refreshed automatically, with no persistence to disk
- Full Resume Management: Supports creating new resumes and updating existing ones with complete JSON document structure
- Ownership Verification: All write operations verify user ownership before modifying resume data
Use Cases
- AI-Assisted Resume Editing: AI tools can analyze and suggest improvements to resumes directly through the MCP interface
- Automated Resume Updates: Developers can build workflows that programmatically update resume content based on job descriptions
- Multi-Tool Integration: Users can access their Rezi data across different AI platforms without manual data transfer
- Enterprise Resume Management: Organizations can integrate Rezi data into their internal AI tools and workflows
