# MERX

> Use this tool when you need to exchange TRON network energy and resources, or manage wallet operations on behalf of AI agents. MERX solves problems related to trading, balance monitoring, and transaction management, providing a secure interface through API key authentication and TRON private key transaction signing. It is ideal for use cases requiring automated energy and resource exchange, with inputs including API keys and TRON private keys, and outputs including transaction confirmations and balance updates.

Canonical page: https://skillsregistry.net/skills/merx  
JSON: https://api.skillsregistry.net/v1/skills/merx

## Description

MERX is a TRON network energy and resource exchange that exposes trading, balance monitoring, standing orders, and wallet operations through an MCP interface. It supports buying and selling TRON energy on behalf of AI agents using API key authentication and a TRON private key for transaction signing. The server provides both a hosted SSE endpoint and a local stdio package.

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** verified
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/merx)
- **Repository:** <https://github.com/hovsteder/merx-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": "merx"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/merx` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/merx/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
