MCP Server Overview

Understand how our professional profile MCP server works and how it enhances your AI interactions.

What is an MCP Server?

Model Context Protocol (MCP) is an open standard that enables AI assistants to access additional context and capabilities through specialized servers. Our professional profile MCP server is designed to provide AI assistants with detailed information about your professional background, skills, and experience.

The MCP server acts as a bridge between your professional profile data and AI assistants like Claude. When you connect an AI assistant to your MCP server, it can access and understand your professional background, enabling personalized career guidance, interview practice, and more.

How It Works

MCP Server Architecture

  1. You create a profile - Upload your resume, add LinkedIn/GitHub links, and provide professional details
  2. We generate your MCP server - A dedicated MCP server is created to host your professional profile
  3. You receive a unique URL - This URL points to your personalized MCP server
  4. Connect to AI assistants - Add your MCP server URL to Claude for Desktop or other MCP-compatible clients
  5. AI gains context - The AI can now access and understand your professional background
  6. Personalized interactions - Get career guidance, interview practice, and advice tailored to your specific background

Key Features

Profile Resources

Your resume, LinkedIn, GitHub, and other professional information are provided as resources to AI assistants.

Secure Connections

Your MCP server uses secure connections to protect your professional data during transmission.

Privacy Controls

You control exactly what information is shared with AI assistants through granular permission settings.

Single Source of Truth

Update your profile once, and all connected AI assistants will automatically have access to your latest information.

Technical Details

Our professional profile MCP server is built on the Model Context Protocol standard, which defines how AI assistants can communicate with specialized servers to access additional context and capabilities.

The server provides the following MCP features:

  • Resources - Your profile data (resume, LinkedIn, GitHub, etc.) is made available as resources that AI assistants can access
  • Transports - Supports MCP transports including HTTP and WebSockets for communication with AI clients
  • Lifecycle - Properly implements the MCP connection lifecycle for initialization, interaction, and termination
  • Authentication - Secures your profile data with proper authentication and authorization controls

Info: For more technical details about the Model Context Protocol, visit the official MCP website.

Next Steps