Frank Goortani CV MCP Server

Name: Frank Goortani CV MCP Server
Author: FrankGoortani

@FrankGoortani

Repository

About Frank Goortani CV MCP Server

This is an MCP Server that provides static answers about Frank Goortani's CV

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "cv-mcp": {
      "command": "bun",
      "args": [
        "start"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Frank Goortani CV MCP Server?

A Model Context Protocol (MCP) server that serves Frank Goortani’s CV information in a structured format. It enables AI assistants and other MCP-compatible clients to retrieve, search, and present professional data such as profile, skills, work experience, and media links.

How to use Frank Goortani CV MCP Server?

Clone the repository, install dependencies with bun install or npm install, then start the server locally using bun start (stdio) or bun run start:http (HTTP). For production, deploy to Cloudflare Workers with npm run deploy. A Docker image is also provided for containerized deployment.

Key features of Frank Goortani CV MCP Server

Structured access to CV profile, skills, and interests
Full CV available as a markdown resource
Text search across all CV sections
Filter experience by specific company
Direct links to resume PDF and profile picture
Supports both stdio and HTTP transports
Ready for Cloudflare Workers deployment

Use cases of Frank Goortani CV MCP Server

An AI assistant retrieves Frank Goortani’s profile and skills during a conversation
A recruiter searches the CV for “generative AI” to find relevant experience
A client fetches the full CV markdown to display on a portfolio site
An application gets the resume PDF link for download
A developer integrates the server into a custom MCP workflow

FAQ from Frank Goortani CV MCP Server

What is the purpose of this server?

It exposes Frank Goortani’s curriculum vitae through a standardized MCP interface, allowing AI assistants and applications to access structured CV data.

What tools are available?

The server provides tools: get_profile, get_skills, get_interests, search_cv, get_company_experience, get_resume_link, and get_profile_picture. It also exposes a markdown resource at cv://frankgoortani.

What are the runtime requirements?

You need Bun or Node.js (v18+) for local development, and the Wrangler CLI and a Cloudflare account for deployment. Docker is optional for containerized runs.

How do I connect from Cursor?

In Cursor Settings → Features → MCP Servers, add a new server. For stdio mode use command bun run start; for SSE mode use URL http://localhost:3001/sse. An API key may be required for HTTP transport.

What transports are supported?

The server supports stdio transport for local CLI tools and HTTP transport (SSE) for remote web applications. Both can be used with Cloudflare Workers.