# wax-mcp-full

> wax-mcp-full — eoinjosephcurran-code-wax-mcp-full. Use this tool when you need to integrate AI applications with the WAX blockchain, enabling queries on accounts, chain state, and asset data, as well as generating unsigned transactions for secure wallet signing. It solves problems related to blockchain data access and transaction preparation, providing inputs such as query requests and outputs like transaction data and blockchain state. Ideal for use cases requiring local-first, secure, and efficient interaction with the WAX blockchain.

Canonical page: https://skillsregistry.net/skills/eoinjosephcurran-code-wax-mcp-full  
JSON: https://api.skillsregistry.net/v1/skills/eoinjosephcurran-code-wax-mcp-full

## Description

A local-first MCP server for the WAX blockchain that enables AI hosts to query accounts, chain state, AtomicAssets, AtomicMarket, Hyperion history, and WAXP prices, as well as prepare unsigned transactions for wallet signing.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m7bnd1fd40)
- **Repository:** <https://github.com/eoinjosephcurran-code/wax-mcp-full>

## 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": "eoinjosephcurran-code-wax-mcp-full"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/eoinjosephcurran-code-wax-mcp-full` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/eoinjosephcurran-code-wax-mcp-full/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