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Transform Resumes intoAI-Ready MCP Servers

Bridge the gap between talent and opportunity. Convert candidate resumes into Model Context Protocol servers that HR AI assistants can seamlessly interact with, enabling deeper, more meaningful candidate evaluations.

AI Name Card
AI Name Card
AI HR Interface
AI HR Interface

Get Your AI-Powered Resume Analysis

Upload your resume and get an AI-generated name card in seconds, no signup required!

Upload Your Resume

Get an instant AI analysis of your professional experience and skills

Drag and drop your resume or click to select a file. PDF, DOC, or DOCX formats are accepted (max 5MB).

Drop your resume here, or click to select manually.

Integrated Everywhere

Works with Your Favorite AI Assistants

Our MCP servers integrate seamlessly with all major AI assistant platforms, allowing for frictionless candidate data access and evaluation.

Claude.ai

Claude.ai

Anthropic's Claude seamlessly accesses our candidate MCP servers.

GitHub Copilot

GitHub Copilot

Integrate hiring workflows directly into your development environment.

Cursor

Cursor

Cursor's AI-powered editor connects to candidate profiles via MCP.

Chatwise

Chatwise

Chatwise integrates with our MCP protocol for enhanced candidate analysis.

CherryStudio

CherryStudio

CherryStudio leverages MCP for seamless candidate data access.

LibreChat

LibreChat

LibreChat connects to MCP servers for open-source AI-powered recruitment.

BoltAI

BoltAI

BoltAI supercharges your recruitment with direct MCP integration.

More...

More...

And dozens more AI platforms with our universal MCP protocol.

How It Works

Transform resumes into AI-ready servers in four simple steps. Our automated process ensures accuracy and speed.

1

Upload Resume

Candidates or HR teams upload resumes in any format (PDF, DOCX, TXT). Our system accepts bulk uploads and integrates with existing ATS platforms.

  • Drag & drop interface
  • Bulk processing
  • ATS integration
  • Format validation
2

AI Processing

Advanced AI extracts and structures all relevant data, creating a comprehensive candidate profile with skills, experience, and qualifications.

  • ML-powered parsing
  • Skill extraction
  • Experience mapping
  • Quality scoring
3

MCP Server Creation

The structured data is converted into a Model Context Protocol server that AI assistants can query using natural language.

  • MCP compliance
  • API endpoints
  • Query optimization
  • Real-time updates
4

AI Assistant Integration

HR AI assistants can now interact with candidate data, asking complex questions and getting detailed, contextual responses.

  • Natural language queries
  • Contextual responses
  • Multi-assistant support
  • Analytics dashboard