# not-for-humans-mcp

> not-for-humans-mcp — notforhumansfun-rgb-not-for-humans-mcp. Use this tool when you need to inspect and verify public protocol data, or prepare Ethereum wallet intents for autonomous market actions. It enables AI agents to interface with the NFH protocol corpus, check census status, and generate bounded wallet intents for claims and market transactions. Ideal for use cases requiring secure, non-custodial, and transaction-ready intent preparation without actual transaction submission.

Canonical page: https://skillsregistry.net/skills/notforhumansfun-rgb-not-for-humans-mcp  
JSON: https://api.skillsregistry.net/v1/skills/notforhumansfun-rgb-not-for-humans-mcp

## Description

Enables AI agents to inspect the public NFH protocol corpus, verify census status, and prepare bounded Ethereum wallet intents for claims and non-custodial market actions while never signing or submitting transactions.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j6p44pqxif)
- **Repository:** <https://github.com/notforhumansfun-rgb/not-for-humans-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": "notforhumansfun-rgb-not-for-humans-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/notforhumansfun-rgb-not-for-humans-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/notforhumansfun-rgb-not-for-humans-mcp/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