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

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.
Related Servers
MarkItDown MCP Server
Convert documents to Markdown for LLMs quickly and accurately
Context7 MCP
Real‑time, version‑specific code docs for LLMs
Playwright MCP
Browser automation via structured accessibility trees
BlenderMCP
Claude AI meets Blender for instant 3D creation
Pydantic AI
Build GenAI agents with Pydantic validation and observability
Chrome DevTools MCP
AI-powered Chrome automation and debugging
Weekly Views
Server Health
Information
Explore More Servers
MCPTest
A lightweight MCP server for local testing and quick iterations
MCP Server Template
TypeScript foundation for Model Context Protocol servers
MCP-MCP: Meta‑MCP Server
A phone book for discovering and provisioning Model Context Protocol servers worldwide
Data Exploration MCP Server
AI‑powered interactive data analysis tool
PTK MCP Server
Serve PTK format via Model Context Protocol
OpenMCP Client
All-in-one MCP debugging and testing hub