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Portfolio Manager Server

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A Model Context Protocol server for managing and analyzing investment portfolios. It enables users to create and update portfolios, fetch real-time stock data a

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Описание

A Model Context Protocol server for managing and analyzing investment portfolios. It enables users to create and update portfolios, fetch real-time stock data and news, generate performance reports, and receive investment recommendations through natural language.

README

Project Logo

A Model Context Protocol (MCP) server that provides tools and resources for managing and analyzing investment portfolios.

Features

  • Portfolio Management: Create and update investment portfolios with stocks and bonds
  • Market Data: Fetch real-time stock price information and relevant news
  • Analysis: Generate comprehensive portfolio reports and performance analysis
  • Recommendations: Get personalized investment recommendations based on portfolio composition
  • Visualization: Create visual representations of portfolio allocation

Installation

  1. Clone this repository:

    git clone https://github.com/ikhyunAn/portfolio-manager-mcp.git
    cd portfolio-manager-mcp
    
  2. Install the required dependencies:

    pip install -r requirements.txt
    
  3. Set up API keys (optional):

    export ALPHA_VANTAGE_API_KEY="your_key_here"
    export NEWS_API_KEY="your_key_here"
    

    Alternatively, create a .env file in the root of the directory and store the API keys

Usage

Running the Server

You can run the server in two different modes:

  1. Stdio Transport (default, for Claude Desktop integration):

    python main.py   # alternate commands: i.e.) python3, python3.11
    
  2. SSE Transport (for HTTP-based clients):

    python main.py --sse
    

Integration with Claude Desktop

Add the server to your Claude Desktop configuration file:

{
  "mcpServers": {
    "portfolio-manager": {
      "command": "python",      // may use different command
      "args": ["/path/to/portfolio-manager-mcp/main.py"],
      "env": {
        "ALPHA_VANTAGE_API_KEY": "your_key_here",
        "NEWS_API_KEY": "your_key_here"
      }
    }
  }
}

If you choose to run your server in a virtual environment, then your configuration file will look like:

{
  "mcpServers": {
    "portfolio-manager": {
      "command": "/path/to/portfolio-manager-mcp/venv/bin/python",
      "args": ["/path/to/portfolio-manager-mcp/main.py"],
      "env": {
        "PYTHONPATH": "/path/to/portfolio-manager-mcp",
        "ALPHA_VANTAGE_API_KEY": "your_key_here",
        "NEWS_API_KEY": "your_key_here"
      }
    }
  }
}

To run it in a virtual environment:

# Create a virtual environment
python3 -m venv venv

# Activate the virtual environment
source venv/bin/activate  # On macOS/Linux
# or
# venv\Scripts\activate   # On Windows

# Install dependencies
pip install -r requirements.txt

# Run the server
python3 main.py

Or use the MCP CLI for easier installation:

mcp install main.py

Example Queries

Once the server is running and connected to Claude, you can interact with it using natural language:

  • "Create a portfolio with 30% AAPL, 20% MSFT, 15% AMZN, and 35% US Treasury bonds with user Id "
  • "What's the recent performance of my portfolio?"
  • "Show me news about the stocks in my portfolio"
  • "Generate investment recommendations for my current portfolio"
  • "Visualize my current asset allocation"

Project Structure

portfolio-manager/
├── main.py                      # Entry point
├── portfolio_server/            # Main package
│   ├── api/                     # External API clients
│   │   ├── alpha_vantage.py     # Stock market data API
│   │   └── news_api.py          # News API
│   ├── data/                    # Data management
│   │   ├── portfolio.py         # Portfolio models
│   │   └── storage.py           # Data persistence
│   ├── resources/               # MCP resources
│   │   └── portfolio_resources.py # Portfolio resource definitions
│   ├── tools/                   # MCP tools
│   │   ├── analysis_tools.py    # Portfolio analysis
│   │   ├── portfolio_tools.py   # Portfolio management
│   │   ├── stock_tools.py       # Stock data and news
│   │   └── visualization_tools.py # Visualization tools
│   └── server.py                # MCP server setup
└── requirements.txt             # Dependencies

Future Work

As of now, the MCP program uses manually created JSON file which keeps track of each user's investment portfolio.

This should be fixed so that it reads in the portfolio data from actual banking applications.

Tasks

  • Extract JSON from a Finance or Banking Application which the user uses
  • Enable modifying the investment portfolio by the client
  • Implement automated portfolio rebalancing
  • Add support for cryptocurrency assets
  • Develop mobile application integration

from github.com/raiyanz04/LLM-Due-Diligence-Assistant

Установка Portfolio Manager Server

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/raiyanz04/LLM-Due-Diligence-Assistant

FAQ

Portfolio Manager Server MCP бесплатный?

Да, Portfolio Manager Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Portfolio Manager Server?

Нет, Portfolio Manager Server работает без API-ключей и переменных окружения.

Portfolio Manager Server — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Portfolio Manager Server в Claude Desktop, Claude Code или Cursor?

Открой Portfolio Manager Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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