by 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.
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.
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.
MIT
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.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
TON Blockchain Analyzer is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
According to our notes, TON Blockchain Analyzer benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
TON Blockchain Analyzer has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Useful MCP listing: TON Blockchain Analyzer is the kind of server we cite when onboarding engineers to host + tool permissions.
TON Blockchain Analyzer is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We wired TON Blockchain Analyzer into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We evaluated TON Blockchain Analyzer against two servers with overlapping tools; this profile had the clearer scope statement.
I recommend TON Blockchain Analyzer for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
TON Blockchain Analyzer reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
We wired TON Blockchain Analyzer into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
showing 1-10 of 38
A Model Context Protocol (MCP) server for natural language interaction with the TON blockchain.
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
git clone https://github.com/devonmojito/ton-blockchain-mcp.git
cd ton-blockchain-mcp
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:
{
"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
}
}
}
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 analyzedeep_analysis (bool, optional): Enable deep forensic analysisGet 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 hashFind 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 addresstimeframe (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 promptsforensics_investigation: Generate forensics promptstrend_analysis: Generate trend analysis promptsThis 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.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.