ton-blockchain-mcp

A Model Context Protocol (MCP) server for natural language interaction with the TON blockchain.

• Natural Language Processing: Understand complex blockchain queries in plain English
• Trading Analysis: Analyze trading patterns, profitability, and strategies
• Hot Trends Detection: Find trending tokens, active pools, and high-activity accounts
• Forensics & Compliance: Conduct blockchain investigations and compliance checks
• Real-time Data: Access live TON blockchain data through TON API

• Python 3.10+
• TON API key from TONAPI

To securely provide sensitive configuration (such as your TON API key), create a .env file in the project root directory. This file will be loaded automatically if present.

Example .env file:

TON_API_KEY=YOUR_TON_API_KEY

1. Clone the repository:

git clone https://github.com/devonmojito/ton-blockchain-mcp.git
cd ton-blockchain-mcp

2. Install dependencies:

pip install -r requirements.txt

You can easily use this MCP server with Claude Desktop for natural language blockchain queries. Below are some example use cases:

Scam Detection Example:

Analyze Address Example:

Get Transaction Details Example:

Analyze Trading Patterns Example:

To use this MCP server with Claude Desktop, add the following to your Claude Desktop config:

• You might need to replace the Python env setup with your own.

{
    "mcpServers":
    {
        "ton-mcp-server":
        {
            "command": "/Users/devon/ton-mcp/ton-blockchain-mcp/venv/bin/python",
            "args":
            [
                "-m",
                "tonmcp.mcp_server"
            ],
            "cwd": "/Users/devon/ton-mcp/ton-blockchain-mcp/src",
            "env":
            {
                "PYTHONPATH": "/Users/devon/ton-mcp/ton-blockchain-mcp/src"
            },
            "stdio": true
        }
    }
}

• "What's the balance of address EQD1234...?"
• "Find hot trading pairs in the last hour"
• "Analyze trading patterns for this wallet"
• "Show suspicious activity for address ABC"
• "Trace money flow from this address"

Analyze a TON address for its balance, jetton holdings, NFTs, and recent activity. Optionally performs deep forensic analysis if deep_analysis is True. Use for questions about account overview, holdings, or activity.

Parameters:

• address (str): TON address to analyze
• deep_analysis (bool, optional): Enable deep forensic analysis

Get details and analysis for a specific TON blockchain transaction by its hash. Use for questions about a particular transaction, its participants, value, or type.

Parameters:

• tx_hash (str): Transaction hash

Find trending tokens, pools, or accounts on the TON blockchain for a given timeframe and category. Use for questions about what's hot, trending, or popular on TON.

Parameters:

• timeframe (str, optional): Time period (e.g., 1h, 24h, 7d)
• category (str, optional): Type of trends (tokens, pools, accounts)

Analyze trading patterns for a TON address over a specified timeframe. Use for questions about trading activity, frequency, jetton transfers, or DEX swaps for an account.

Parameters:

• address (str): TON address
• timeframe (str, optional): Time period (e.g., 24h)

Get the current real-time TON price in the specified currency (default: USD) and recent price changes. Use this tool whenever you need the latest TON price for calculations, analysis, or reporting.

Parameters:

• currency (str, optional): The fiat or crypto currency to get the TON price in (default: 'usd').

Get the current price and recent changes for specified jetton tokens (not TON) in the given currency. Provide a list of jetton master addresses as tokens. Use this tool to fetch real-time prices for any token except TON.

Parameters:

• tokens (list of str): List of jetton master addresses to get prices for (excluding 'ton').
• currency (str, optional): The fiat or crypto currency to get the price in (default: 'usd').

• trading_analysis: Generate trading analysis prompts
• forensics_investigation: Generate forensics prompts
• trend_analysis: Generate trend analysis prompts

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

This project is licensed under the MIT License - see the LICENSE file for details.

For support, please open an issue on GitHub

⚠️ WARNING: This project is in Beta. Do not trust any numbers provided by the LLM model. Nothing in this project constitutes financial advice. Use at your own risk.