# mcp-azeth

> Use this tool when you need to establish trust infrastructure for AI agents in the machine economy, enabling secure and non-custodial transactions, reputation management, and service discovery. It solves problems related to secure payments, reputation, and service discovery, providing a suite of 8 tools for account management, payment, and messaging. Ideal for use cases requiring decentralized, trustworthy, and efficient interactions between AI agents and services.

Canonical page: https://skillsregistry.net/skills/azeth-protocol-mcp-azeth  
JSON: https://api.skillsregistry.net/v1/skills/azeth-protocol-mcp-azeth

## Description

Trust infrastructure for the machine economy. Gives AI agents non-custodial smart accounts (ERC-4337), x402 payments, on-chain reputation via ERC-8004 trust registry, and service discovery. 8 tools: create accounts, transfer, check balances, pay for x402 services, publish/discover services, manage payment agreements, and send encrypted messages.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u6sgb7ltlc)
- **Repository:** <https://github.com/azeth-protocol/mcp-server>

## 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": "azeth-protocol-mcp-azeth"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/azeth-protocol-mcp-azeth` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/azeth-protocol-mcp-azeth/pull`

---
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