# TON Access

> Use this tool when you need to integrate AI models with the TON blockchain, providing a standardized interface for interaction. It solves problems of decentralized access and compatibility by generating RPC endpoints for multiple networks and protocols. Ideal for developers building blockchain applications or AI assistants requiring seamless TON blockchain integration.

Canonical page: https://skillsregistry.net/skills/orbs-network-ton-access  
JSON: https://api.skillsregistry.net/v1/skills/orbs-network-ton-access

## Description

Provides a Model Context Protocol (MCP) server for the ton-access library, enabling AI models to interact with the TON blockchain through a standardized interface. Built by Orbs Network, this implementation offers a comprehensive set of tools for generating decentralized RPC endpoints, supporting multiple networks and protocols like TonCenter API v2 and TonHub API v4. Particularly useful for developers building blockchain applications or AI assistants that need seamless TON blockchain access.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/orbs-network-ton-access)
- **Repository:** <https://github.com/aiopinions/ton-access-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": "orbs-network-ton-access"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/orbs-network-ton-access` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/orbs-network-ton-access/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