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Ton MCP Server

MCP Server

Connect AI to your Ton wallet effortlessly

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Updated Jul 4, 2025

About

Ton MCP Server enables Model Context Protocol integration with the Ton blockchain, allowing LLM applications to send transactions, query balances, and perform wallet operations directly through a standardized API.

Capabilities

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

Ton MCP Server in Action

Overview

The Ton MCP server provides a dedicated Model Context Protocol interface for interacting with the TON blockchain. It exposes a set of high‑level operations—such as querying wallet balances, constructing and broadcasting transactions, and monitoring account activity—that can be invoked directly from an AI assistant. By packaging these blockchain interactions behind the MCP, developers gain a consistent and secure way to embed crypto‑related functionality into LLM‑powered applications without exposing raw RPC endpoints or handling wallet keys manually.

Problem Solved

Blockchain APIs are often fragmented, requiring developers to manage authentication, serialization, and error handling for each endpoint. For AI assistants that need to perform on‑chain actions—like sending tokens, checking NFT ownership, or reacting to on‑chain events—the lack of a unified protocol hampers rapid prototyping and reliable operation. Ton MCP solves this by providing a single, well‑defined contract that standardizes request shapes and response formats. This abstraction lets AI workflows focus on intent rather than plumbing, reducing boilerplate code and minimizing the risk of misconfigurations.

Core Capabilities

  • Wallet Management – Load and lock TON wallets securely, exposing only the operations that an AI assistant is permitted to use.
  • Transaction Construction – Build signed transactions with customizable payloads, fee estimates, and time‑to‑live settings.
  • Balance & State Queries – Retrieve current balances, token holdings, and contract state in a machine‑readable format.
  • Event Subscription – Subscribe to blockchain events (e.g., new blocks, transaction confirmations) and trigger AI actions in real time.
  • Error Normalization – Convert low‑level RPC errors into human‑readable messages that an assistant can explain to users.

These features are exposed via the MCP’s standardized JSON schema, allowing any compliant client—whether a web IDE, chatbot, or automation script—to invoke them with minimal friction.

Use Cases & Scenarios

  • AI‑Powered Wallet Assistant – A chatbot that can answer “What’s my balance?” or “Send 10 TON to X” by calling Ton MCP, providing instant on‑chain responses without exposing private keys.
  • Smart Contract Debugger – An IDE plugin that lets developers step through contract calls, view state changes, and automatically generate test vectors using the MCP interface.
  • Decentralized Application (dApp) Automation – A serverless workflow that monitors on‑chain events and triggers AI logic (e.g., rebalancing portfolios, executing arbitrage strategies) via MCP calls.
  • Educational Tools – Interactive tutorials that let students experiment with real transactions in a sandboxed environment, all mediated through the MCP server.

Integration into AI Workflows

Developers add a single entry to their MCP configuration, pointing the server to a local or cloud‑hosted instance. Once registered, any LLM client can request wallet operations using the standard MCP tool invocation syntax. The server handles authentication, signing, and network communication, returning structured responses that the assistant can embed in its replies. Because MCP is language‑agnostic, this integration works across different AI platforms—Claude, GPT, or custom LLMs—without requiring platform‑specific adapters.

Unique Advantages

Ton MCP stands out by combining TON’s high‑throughput, low‑cost network with a developer‑friendly MCP interface. Unlike generic blockchain APIs that expose raw JSON‑RPC, Ton MCP abstracts away the intricacies of TON’s account model and transaction format. It also offers built‑in security features—such as key isolation and command whitelisting—that protect users from accidental fund loss. For developers building AI‑centric blockchain experiences, this means faster prototyping, fewer security headaches, and a consistent experience across multiple LLM ecosystems.