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Frank Goortani CV MCP Server

by FrankGoortani

This server provides structured access to Frank Goortani's CV data, enabling AI assistants and other MCP-compatible clients to retrieve, search, and present professional information in a standardized format. It implements a Model Context Protocol (MCP) server that exposes curriculum vitae information through a standardized interface.

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What is Frank Goortani CV MCP Server?

This is an MCP server that exposes Frank Goortani's CV information through a standardized interface, allowing AI assistants and MCP-compatible applications to access structured data.

How to use Frank Goortani CV MCP Server?

The server can be accessed via stdio or HTTP transport. Use the provided tools like get_profile, get_skills, search_cv, and others to retrieve specific information. Connect using a CLI MCP client or integrate with tools like Cursor using the provided configuration examples.

Key features of Frank Goortani CV MCP Server

  • Structured CV Data Access

  • Markdown Resource for Full CV

  • Text Search Across CV Sections

  • Company Experience Filtering

  • Media Access (Resume PDF, Profile Picture)

  • Deployment Ready for Cloudflare Workers

  • Dual Transport: stdio and HTTP

Use cases of Frank Goortani CV MCP Server

  • AI assistants retrieving professional information

  • MCP-compatible applications accessing CV data

  • Automated resume parsing and analysis

  • Integration with HR and recruitment systems

FAQ from Frank Goortani CV MCP Server

What is MCP?

Model Context Protocol (MCP) is a standardized protocol for accessing and interacting with data and tools, designed for use with AI models and assistants.

How do I connect to the server?

You can connect via stdio (command line) or HTTP (web) transport. Examples are provided for connecting from a CLI MCP client and Cursor.

What tools are available?

Available tools include get_profile, get_skills, get_interests, search_cv, get_company_experience, get_resume_link, and get_profile_picture.

Can I deploy this to Cloudflare Workers?

Yes, the project is configured for seamless deployment to Cloudflare Workers. Follow the deployment instructions in the README.

How do I search the CV for specific information?

Use the search_cv tool with a query parameter to search for specific terms within the CV.