Portfolio MCP Server

A dual-stack Model Context Protocol (MCP) server for Srikanth Karthikeyan's portfolio data, available in both Node.js and Python implementations with containerized deployment options.

Features

The server provides the following tools:

🔍 search_portfolio

Search through portfolio data by keywords, category, or content.

Parameters:

• query (required): Search query to find relevant information
• category (optional): Filter by specific category
• limit (optional): Maximum results to return (default: 10)

📂 get_portfolio_categories

Get all available categories in the portfolio data.

🎯 get_portfolio_item

Get a specific portfolio item by ID.

Parameters:

• id (required): The ID of the portfolio item

📞 get_contact_info

Get all contact information.

💻 get_tech_stack

Get detailed information about technical skills and tools.

Parameters:

• type (optional): Filter by specific tech type

🚀 Installation & Deployment

Package Registries

Node.js Packages (Both Registries)

# From npmjs.com (public)
npm install srikanth-mcp-portfolio-server

# From GitHub Packages 
npm install @srikanth-karthi/srikanth-mcp-portfolio-server

Python Package

# From PyPI (public)
pip install srikanth-mcp-portfolio

Docker Deployment (Multiple Registries)

From Docker Hub (Public)

# Node.js version
docker run -it srikanthkarthi/mcp-portfolio-server:nodejs-latest

# Python version  
docker run -it srikanthkarthi/mcp-portfolio-server:python-latest

# Multi-runtime version
docker run -it srikanthkarthi/mcp-portfolio-server:multi-latest

From GitHub Container Registry

# Node.js version
docker run -it ghcr.io/srikanth-karthi/mcp-portfolio-server:nodejs-latest

# Python version
docker run -it ghcr.io/srikanth-karthi/mcp-portfolio-server:python-latest

# Multi-runtime version
docker run -it ghcr.io/srikanth-karthi/mcp-portfolio-server:multi-latest

Using Docker Compose (Local Development)

# Choose one:
docker compose up mcp-portfolio-nodejs    # Node.js only
docker compose up mcp-portfolio-python    # Python only
docker compose up mcp-portfolio-multi     # Both runtimes

Development Setup

Node.js Development

npm install
npm run dev

Python Development

pip install -e .
python -m mcp_portfolio_server.server

🔧 Claude Desktop Integration

Using Docker Hub (Public)

{
  "mcpServers": {
    "portfolio": {
      "command": "docker", 
      "args": [
        "run", "-i", "--rm",
        "srikanthkarthi/mcp-portfolio-server:latest"
      ]
    }
  }
}

Using GitHub Container Registry

{
  "mcpServers": {
    "portfolio": {
      "command": "docker",
      "args": [
        "run", "-i", "--rm", 
        "ghcr.io/srikanthkarthi/mcp-portfolio-server:latest"
      ]
    }
  }
}

Using npm Package (Public Registry)

{
  "mcpServers": {
    "portfolio": {
      "command": "npx",
      "args": ["srikanth-mcp-portfolio-server"]
    }
  }
}

Using npm Package from GitHub Packages

{
  "mcpServers": {
    "portfolio": {
      "command": "npx",
      "args": ["@srikanth-karthi/srikanth-mcp-portfolio-server"]
    }
  }
}

Using Python Package

{
  "mcpServers": {
    "portfolio": {
      "command": "python",
      "args": ["-m", "mcp_portfolio_server.server"]
    }
  }
}

Development Mode

{
  "mcpServers": {
    "portfolio": {
      "command": "node",
      "args": ["/path/to/mcp-portfolio/src/index.js"],
      "cwd": "/path/to/mcp-portfolio"
    }
  }
}

📦 Automated Building & Publishing

GitHub Actions Workflows

The repository includes automated CI/CD workflows:

• Triggers: Git tags (v*) or manual workflow dispatch
• Builds: Multi-architecture Docker images (AMD64/ARM64)
• Publishes:
  • Node.js package to GitHub Packages
  • Python package to PyPI
  • Docker images to GitHub Container Registry

Manual Building

Docker Build Commands

# Build Node.js image
docker build --target nodejs -t mcp-portfolio:nodejs .

# Build Python image  
docker build --target python -t mcp-portfolio:python .

# Build multi-runtime image
docker build --target multi -t mcp-portfolio:multi .

Configuration Options

Switch between Node.js and Python in multi-runtime container:

# In docker-compose.yml, uncomment to use Python:
command: ["python3", "-m", "mcp_portfolio_server.server"]

Data Categories

The server provides access to the following portfolio categories:

• Profile Summary: Overview and introduction
• Current Position: Job title, company, duration
• Current Work: Responsibilities and projects
• Experience: Work history and achievements
• Education: Academic background
• Tech Stack: Programming languages, frameworks, tools
• Certifications: Professional certifications
• Volunteerism: Community service and activities
• Contact: Social media and professional links
• Languages: Language proficiency

Example Queries

• Search for cloud experience: search_portfolio("cloud", "Experience")
• Get all tech stack info: get_tech_stack()
• Find contact information: get_contact_info()
• Search for certifications: search_portfolio("aws certification")

License

MIT