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    Crypto Portfolio Mcp

    An MCP server for tracking and managing cryptocurrency portfolio allocations.

    9 stars
    Python
    Updated Nov 2, 2025

    Table of Contents

    • Features
    • Installation
    • Prerequisites
    • Setup
    • Usage
    • Add a Holding
    • Get Current Price
    • Portfolio Summary
    • Portfolio Value History
    • Analyze Portfolio
    • Tools
    • Database
    • License

    Table of Contents

    • Features
    • Installation
    • Prerequisites
    • Setup
    • Usage
    • Add a Holding
    • Get Current Price
    • Portfolio Summary
    • Portfolio Value History
    • Analyze Portfolio
    • Tools
    • Database
    • License

    Documentation

    Crypto Portfolio MCP

    An MCP server for tracking and managing cryptocurrency portfolio allocations, enabling AI agents to query and optimize portfolio strategies in real time.

    GitHub License

    Python Version

    Status

    Features

    • Portfolio Management: Add and track cryptocurrency holdings with real-time Binance prices.
    • Price Retrieval: Fetch current prices for any Binance trading pair (e.g., BTC/USDT).
    • Value History: Generate visual charts of portfolio value over time.
    • Analysis Prompt: Pre-built prompt for portfolio analysis with diversification and risk suggestions.
    • SQLite Storage: Persistent storage of holdings in a local database.

    Installation

    Prerequisites

    • Python 3.10+
    • Git (optional, for cloning the repo)
    • A compatible MCP client (e.g., Claude Desktop)

    Setup

    1. Clone the Repository:

    bash
    git clone https://github.com/kukapay/crypto-portfolio-mcp.git
       cd crypto-portfolio-mcp

    2. Install requirements:

    bash
    pip install mcp[cli] ccxt matplotlib

    3. Install for Claude Desktop:

    bash
    mcp install main.py --name "CryptoPortfolioMCP"

    Or update the configuration file manually:

    code
    {
          "mcpServers": {
            "crypto-portfolio-mcp": {
              "command": "python",
              "args": [ "path/to/crypto-portfolio-mcp/main.py" ]
            }
          }
        }

    Usage

    Once installed, interact with the server through an MCP client like Claude Desktop. Below are example commands:

    Add a Holding

    • Prompt: "Add 0.1 BTC to my portfolio"
    • Result: Adds 0.1 BTC/USDT to your portfolio and confirms with "Added 0.1 BTC/USDT to portfolio".

    Get Current Price

    • Prompt: "What's the current price of ETH on Binance?"
    • Result: Returns "Current price of ETH/USDT on Binance: $2000.50" (example price).

    Portfolio Summary

    • Prompt: "What's my current portfolio summary?"
    • Result: Displays a formatted summary, e.g.:
    code
    Portfolio Summary:
      BTC/USDT: 0.1 @ $60000.00 = $6000.00
      ETH/USDT: 2.0 @ $2000.00 = $4000.00
      Total Value: $10000.00

    Portfolio Value History

    • Prompt: "Show me my portfolio value history"
    • Result: Generates and displays a PNG chart of your portfolio value over time.

    Analyze Portfolio

    • Prompt: "Analyze my crypto portfolio"
    • Result: Provides an analysis with suggestions based on current holdings and Binance market trends.

    Tools

    The server exposes the following tools:

    • **get_portfolio_summary**: Retrieves a text summary of your current portfolio.
    • **add_holding(coin_symbol: str, amount: float)**: Adds a cryptocurrency holding (e.g., "BTC", 0.1).
    • **get_price(coin_symbol: str)**: Fetches the current price of a trading pair from Binance.
    • **portfolio_value_history()**: Generates a PNG chart of portfolio value history.

    See the source code docstrings for detailed parameter descriptions.

    Database

    Holdings are stored in a SQLite database (portfolio.db) with the following schema:

    sql
    CREATE TABLE holdings (
        id INTEGER PRIMARY KEY,
        coin_symbol TEXT,       -- e.g., "BTC/USDT"
        amount REAL,           -- Quantity of the asset
        purchase_date TEXT     -- ISO format timestamp
    )

    License

    This project is licensed under the MIT License. See LICENSE for details.

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