MCP Server for ai2hum — the human layer for AI agents

MCP server for Loopuman — The Human Layer for AI. Give AI agents instant access to verified human workers in 30+ countries. Post tasks, competitions, and social contests. Workers paid in seconds via blockchain.

The trusted human layer for AI agents. Call a vetted human from your agent to execute a task or verify an answer, with proof.

This is an internal utility, not intended for public usage.

Human-friendly process signals

Returns from a pool of 15m human-readable IDs

Loopuman - The Human Layer for AI - Microtasking Platform

CDS plugin providing out-of-the box support for automatic capturing, storing, and viewing of the change records of modeled entities.

Human-readable error messages for Ajv (Another JSON Schema Validator).

Parse CSS Cascade Layer names.

Generate human-readable ids from lists of easy-to-spell nouns and adjectives

Use cascade layers in CSS

Format numbers for human consumption.

The `@aave/math-utils` data formatting methods act as a layer on top of the chain data. The use-cases range from "human readable formatting" to "approximating accrual over time".

Parse a human name string into salutation, first name, middle name, last name, suffix. Parse an address into address, city, state, zip

Converts a number to/from a human readable string: `1337` ↔ `1.34kB`

Canvas for Node.js with skia backend

Token-Oriented Object Notation (TOON) – compact, human-readable serialization of JSON data for LLM prompts

High Performance Layer 1 / Layer 2 Caching with Keyv Storage

Model-facing same-session goal tools with execution-time authority checks