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TON Blockchain MCP

MCP Server

Natural language access to TON blockchain data

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Updated 13 days ago

About

A Model Context Protocol server that lets users query the TON blockchain using plain English, providing real‑time data, trading analysis, trend detection, and forensic tools for addresses and transactions.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

TON Blockchain MCP Cover

Overview

The TON Blockchain MCP server turns the complex, data‑rich world of the Telegram Open Network (TON) into a conversational interface that AI assistants can query directly. By exposing blockchain state through natural‑language tools, it eliminates the need for developers to write raw API calls or parse low‑level JSON responses. Instead, a user can ask questions such as “What’s the balance of address EQD1234…?” or “Show suspicious activity for address ABC”, and the MCP translates those requests into precise TON API queries, aggregates the results, and returns a concise, human‑readable answer.

What Problem Does It Solve?

Developers building AI‑powered financial or compliance applications often struggle with the TON ecosystem’s fragmented documentation, rate limits, and data normalization. The MCP abstracts these concerns by providing a single, consistent interface that handles authentication (via TON API keys), request throttling, and error handling. It also enriches raw blockchain data with higher‑level insights—such as trading patterns or hot trend detection—so that the AI assistant can deliver actionable intelligence without additional custom logic.

Core Value for AI Workflows

  • Seamless Integration: The server conforms to the MCP specification, allowing tools like Claude Desktop or other AI platforms to discover and invoke its capabilities automatically.
  • Natural Language Understanding: Each tool is wrapped in a system prompt that guides the model to interpret user intent, ensuring reliable mapping from utterances to tool calls.
  • Real‑Time Data: By leveraging the TON API, the MCP provides up‑to‑date information on balances, transactions, and market activity, which is critical for time‑sensitive use cases such as fraud detection or trading strategy evaluation.

Key Features and Capabilities

  • Address Analysis: Retrieve balances, jetton holdings, NFT collections, and recent activity for any TON address; optionally perform deep forensic analysis to surface hidden patterns.
  • Transaction Insight: Fetch detailed metadata for a transaction hash, including participants, value, and type, enabling audit trails or dispute resolution.
  • Hot Trend Discovery: Identify trending tokens, liquidity pools, or accounts over configurable timeframes (1 h, 24 h, 7 d), supporting market sentiment analysis.
  • Trading Pattern Analysis: Examine an address’s trading behavior—frequency, swap volumes, and jetton transfers—over a specified period to uncover strategies or anomalies.
  • Compliance & Forensics: Combine the above tools to conduct investigations, flag suspicious activity, and generate compliance reports.

Real‑World Use Cases

  • Crypto Security Teams: Quickly investigate potential scams or money‑laundering routes by tracing addresses and monitoring hot trends.
  • DeFi Analysts: Monitor liquidity pool performance, detect emerging trading pairs, and assess wallet activity to inform investment decisions.
  • Regulatory Bodies: Automate compliance checks by querying transaction histories and flagging accounts that exceed predefined thresholds.
  • Product Developers: Build chatbots or voice assistants that answer user queries about TON assets, balances, and market movements without exposing raw API endpoints.

Unique Advantages

Unlike generic blockchain wrappers, the TON MCP server is tuned specifically for TON’s architecture and data model. Its built‑in trend detection and trading analysis tools reduce the cognitive load on developers, allowing them to focus on higher‑level application logic rather than data plumbing. Moreover, by adhering strictly to the MCP protocol, it guarantees future compatibility with emerging AI platforms and ensures that new tools can be added or updated without breaking existing integrations.