# hiveclear

> Use this tool when you need to facilitate multi-party transaction settlements and track clearing volumes in a secure and efficient manner. Hiveclear solves problems related to validator consensus and agent-to-agent settlements, providing a reliable MCP server for transaction processing. It accepts transaction data as input and outputs validated settlements in USDC, making it ideal for use cases involving complex financial transactions.

Canonical page: https://skillsregistry.net/skills/srotzin-hiveclear  
JSON: https://api.skillsregistry.net/v1/skills/srotzin-hiveclear

## Description

MCP server for multi-party transaction settlement. Submits agent-to-agent settlements for validator consensus and tracks clearing volume in USDC.

## Trust

- **Trust score (0–1):** 0.33
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/srotzin/hiveclear)

## 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": "srotzin-hiveclear"
    }
  }
}
```

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