# TON Blockchain MCP

> Use this tool when you need to interact with the TON blockchain using natural language, enabling queries for balances, trading pattern analysis, trend detection, and forensic investigations. It solves problems related to blockchain data analysis, providing insights and information through a user-friendly interface. The tool accepts natural language inputs and outputs relevant blockchain data, making it ideal for use cases requiring intuitive and efficient blockchain exploration.

Canonical page: https://skillsregistry.net/skills/devonmojito-ton-blockchain-mcp  
JSON: https://api.skillsregistry.net/v1/skills/devonmojito-ton-blockchain-mcp

## Description

A Model Context Protocol server that enables natural language interaction with the TON blockchain, allowing users to perform queries for balances, analyze trading patterns, detect hot trends, and conduct forensic investigations on blockchain data.

## Trust

- **Trust score (0–1):** 0.01
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k74ktaursb)
- **Repository:** <https://github.com/devonmojito/ton-blockchain-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "devonmojito-ton-blockchain-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/devonmojito-ton-blockchain-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/devonmojito-ton-blockchain-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt