TON Blockchain Analyzer

TON Blockchain Analyzer

devonmojito

TON Blockchain Analyzer tracks wallet addresses, analyzes transactions, and uncovers trading patterns for smarter crypto

Integrates with the TON blockchain to analyze wallet addresses, track transactions, detect trading patterns, and identify market trends for cryptocurrency traders and analysts.

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About TON Blockchain Analyzer

TON Blockchain Analyzer is a community-built MCP server published by devonmojito that provides AI assistants with tools and capabilities via the Model Context Protocol. TON Blockchain Analyzer tracks wallet addresses, analyzes transactions, and uncovers trading patterns for smarter crypto It is categorized under finance, analytics data.

How to install

You can install TON Blockchain Analyzer in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

License

TON Blockchain Analyzer is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

TON BLOCKCHAIN MCP

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

TON Blockchain MCP Cover

Features

  • 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

Quick Start

Prerequisites

  • Python 3.10+
  • TON API key from TONAPI

Environment Configuration (.env)

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

Installation

  1. Clone the repository:
git clone https://github.com/devonmojito/ton-blockchain-mcp.git
cd ton-blockchain-mcp
  1. Install dependencies:
pip install -r requirements.txt

Using TON MCP Server with Claude Desktop

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

Scam Detection Example:

Scam Detection Example

Analyze Address Example:

Analyze Address Example

Get Transaction Details Example:

Get Transaction Details Example

Analyze Trading Patterns Example:

Analyze Trading Patterns Example

Claude Desktop Configuration 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
        }
    }
}

Natural Language Examples

  • "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"

MCP Tools & System Prompts Documentation

Tools

analyze_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_transaction_details

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_hot_trends

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

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_ton_price

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_jetton_price

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').

System Prompts

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

Contributing

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

License

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

Support

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.

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