Developer Portfolio MCP Server

An MCP server that lets recruiters and AI assistants explore your profile, skills, and projects through natural language.

What is this?

This project is a Model Context Protocol (MCP) server — a standardized bridge between AI assistants (Cursor, Claude Desktop, etc.) and your developer portfolio data.

Instead of sending recruiters a static PDF resume, you give them (or their AI tools) a live MCP server they can query interactively:

• "What Python projects has this developer built?"

• "How well does their stack match this job description?"

• "Generate an interview prep brief for a Senior Engineer role."

Why recruiters care: It demonstrates you understand modern AI tooling, can build production integrations, and think about developer experience.

Related MCP server: Me-MCP

Quick Start

1. Clone and install

git clone https://github.com/YOUR_USERNAME/developer-portfolio-mcp.git
cd developer-portfolio-mcp
uv sync --extra dev

2. Customize your data

Edit these JSON files with your real information:

3. Run the server

uv run developer-portfolio-mcp

4. Connect to Cursor

Copy the example config and update the path:

cp .cursor/mcp.json.example .cursor/mcp.json
# Edit the absolute path in mcp.json to your project directory

Then in Cursor: Settings → MCP — your server should appear. Try asking:

"Use the developer-portfolio MCP to show me this candidate's top projects."

What's Inside

Tools (6) — Actions the AI can perform

Resources (3) — Read-only data endpoints

Prompts (3) — Reusable AI templates

Project Structure

developer-portfolio-mcp/
├── src/developer_portfolio_mcp/
│   ├── server.py          # MCP server (tools, resources, prompts)
│   ├── loaders.py         # Data loading utilities
│   └── data/              # Your portfolio JSON (customize these!)
│       ├── profile.json
│       ├── projects.json
│       └── skills.json
├── tests/                 # Unit tests
├── docs/
│   └── LEARNING_GUIDE.md  # MCP basics → advanced (start here to learn!)
├── .cursor/mcp.json.example
├── pyproject.toml
└── README.md

Run Tests

uv run pytest -v

Learning MCP

New to MCP? Read docs/LEARNING_GUIDE.md — a structured path from basics to advanced concepts, using this project as your hands-on lab.

Topics covered:

• What MCP is and why it matters

• Tools vs Resources vs Prompts

• Transports (stdio, HTTP)

• Building your own tools

• Deploying for recruiters

Push to GitHub

# After customizing your data:
git add .
git commit -m "Add developer portfolio MCP server"
git remote add origin https://github.com/YOUR_USERNAME/developer-portfolio-mcp.git
git push -u origin main

Add this to your resume/LinkedIn:

Built an MCP server exposing developer portfolio data to AI assistants — github.com/YOUR_USERNAME/developer-portfolio-mcp

Tech Stack

• MCP Python SDK (FastMCP)

• Python 3.11+

• uv for package management

License

MIT — use freely, customize for your portfolio, and share with recruiters.