Portfolio MCP Server

An MCP (Model Context Protocol) server that exposes my AI project portfolio as queryable tools. Point any MCP client (Claude Desktop, etc.) at it and ask things like "What has Ayush built with LangGraph?" or "What's his flagship project?" — it answers from live structured data, not a static PDF.

Why this exists

Most AI-developer portfolios are a list of links. This is a working MCP server — the same protocol agentic products use to connect to tools — built around my own portfolio. It's both a real implementation of the spec and a answer to "show me you've actually built with MCP."

Related MCP server: Axon.MCP.Server

Tools exposed

• list_projects — short summary of all 9 projects

• get_project_details(project_name) — full details for one project

• search_projects_by_stack(technology) — find projects using a given tech

• get_flagship_project — the single best project to look at first

• get_resume_summary — background, target role, core stack

Run it locally

python -m venv venv
source venv/bin/activate        # Windows: venv\Scripts\activate
pip install -r requirements.txt

Test it interactively with the MCP Inspector:

mcp dev server.py

This opens a browser UI to call each tool manually.

Connect to Claude Desktop

Open your Claude Desktop config file:

• Mac: ~/Library/Application Support/Claude/claude_desktop_config.json

• Windows: %APPDATA%\Claude\claude_desktop_config.json

If the file already has an mcpServers key with other servers in it, just add the "portfolio" entry inside the existing object rather than overwriting the file. Use the absolute path to server.py on your machine:

{
  "mcpServers": {
    "portfolio": {
      "command": "python",
      "args": ["/absolute/path/to/portfolio-mcp-server/server.py"]
    }
  }
}

Restart Claude Desktop. Then ask it something like:

"What projects has Ayush built with FastAPI?"

Claude will call search_projects_by_stack and answer from the live data.

Stack

• Python

• MCP Python SDK (FastMCP)

• stdio transport

Author

Ayush Tomar — GitHub