cv-mcp

FrankGoortani/cv-mcp

3.2

If you are the rightful owner of cv-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

A Model Context Protocol (MCP) server designed to serve Frank Goortani's CV information, enabling AI assistants and MCP-compatible clients to access structured CV data.

The Frank Goortani CV MCP Server is a specialized server that provides structured access to Frank Goortani's curriculum vitae information. Built using the FastMCP framework, it adheres to the Model Context Protocol specification, offering a modular architecture with core and server modules. The server supports both stdio and HTTP communication, making it versatile for local and remote access. It is optimized for deployment on Cloudflare Workers, ensuring scalability and reliability. The server allows AI assistants and MCP-compatible applications to retrieve, search, and present professional information in a standardized format, including profile details, skills, work experience, and more.

Features

  • Structured CV Data Access: Provides access to profile information, skills, interests, and work experience.
  • Markdown Resource: Offers the full CV in markdown format.
  • Search Capabilities: Enables text search across all CV sections.
  • Company Experience Filtering: Allows targeted retrieval of experience at specific companies.
  • Media Access: Provides direct links to resume PDF and profile picture.

Usages

usage with Cursor stdio

{
  "mcpServers": {
    "frank-cv-stdio": {
      "command": "bun",
      "args": ["run", "start"],
      "env": {
        "NODE_ENV": "development"
      }
    }
  }
}

usage with Cursor sse

{
  "mcpServers": {
    "frank-cv-sse": {
      "url": "http://localhost:3001/sse"
    }
  }
}

Tools

  1. get_profile

    Return to Frank Goortani's profile information

  2. get_skills

    Return to Frank Goortani's list of expertise

  3. get_interests

    Return to Frank Goortani's list of professional interests

  4. search_cv

    Search for specific terms in resume and return to matching section

  5. get_company_experience

    Search experience in a specific company

  6. get_resume_link

    Return to the URL of the resume PDF

  7. get_profile_picture

    Return to the URL of the profile picture