What is MCP (My Career Portfolio) Server?
It is a server‑side tool that helps SSAFY students build project portfolios, write self‑introductions, and prepare for interviews by automatically pulling data from linked GitHub repositories.
@wonnyboi
Basic information
SSAFY 학생들을 위한 프로젝트 포트폴리오 및 면접 준비 도우미 서버
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-wonnyboi": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
MCP (My Career Portfolio) Server is a portfolio and interview preparation assistant for SSAFY students. It integrates with GitHub repositories to automatically collect project information, and supports writing self‑introductions, generating interview questions, and building portfolios.
Clone the repository, create a Python virtual environment, install dependencies from requirements.txt, set a GitHub personal access token in a .env file, then run python project_portfolio_server.py. Use the server’s menu to add projects, write resumes, practice interviews, and manage portfolios.
It is a server‑side tool that helps SSAFY students build project portfolios, write self‑introductions, and prepare for interviews by automatically pulling data from linked GitHub repositories.
Create a classic personal access token on GitHub with the `repo` scope, set expiration to “No expiration”, copy the token, and add `GITHUB_TOKEN=your_token_here` to a `.env` file in the project root directory.
Python 3, a virtual environment (venv), and the packages listed in `requirements.txt`. The server also needs a GitHub personal access token for repository access.
All project data is saved locally in the `project_data/` folder within the server’s directory.
After installing dependencies and configuring the token, run `python project_portfolio_server.py` from the project root. The server will then be ready to accept commands via its menu interface.

No-code automated trading on your own Alpaca account — let your AI build, backtest, deploy, and manage rules-based strategies, on paper or live.

Turn any image into framed wall art, delivered to your door.

SoChain's MCP server gives AI agents live and historical data for Bitcoin, Litecoin, Dogecoin, Zcash and their testnets: balances now or on a past date, transactions and unspent outputs, payment status, blocks, fee proje
Read-only US equity research for AI agents: fAlpha's model signal for a stock with the drivers behind it, signal history and flips, news sentiment, analyst coverage, SEC filings, FRED macro and fundamentals. Every result

Create checkout pages, sell event tickets, manage customers, payments and subscriptions from your AI assistant.
Comments