AI2Human

Name: AI2Human
Author: ai2humanagent

by ai2humanagentversion 0.1.2i★ –iRuns on your computer

Registry nameio.github.richard7463/ai2human-mcp

Install

Overview

Description from the maker (original English)

Dispatch human-execution tasks with proof verification, local checks, and compliance reviews.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi0 of 1 passedChecked from public information; code not scanned yet
UsageiVery new↓ 23/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Law & government data
You need to fill in: AI2HUMAN_API_KEY, AI2HUMAN_AGENT_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 0 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: AI2HUMAN_API_KEY, AI2HUMAN_AGENT_KEY, AI2HUMAN_BASE_URL

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "ai2human": {
      "command": "uvx",
      "args": [
        "ai2human-mcp"
      ],
      "env": {
        "AI2HUMAN_API_KEY": "your-value",
        "AI2HUMAN_AGENT_KEY": "your-value",
        "AI2HUMAN_BASE_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add ai2human --env AI2HUMAN_API_KEY=your-value --env AI2HUMAN_AGENT_KEY=your-value --env AI2HUMAN_BASE_URL=your-value -- uvx ai2human-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "ai2human": {
      "command": "uvx",
      "args": [
        "ai2human-mcp"
      ],
      "env": {
        "AI2HUMAN_API_KEY": "your-value",
        "AI2HUMAN_AGENT_KEY": "your-value",
        "AI2HUMAN_BASE_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "ai2human": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "ai2human-mcp"
      ],
      "env": {
        "AI2HUMAN_API_KEY": "your-value",
        "AI2HUMAN_AGENT_KEY": "your-value",
        "AI2HUMAN_BASE_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

AI2HUMAN_API_KEY secret required env
AI2Human agent API key for authentication
AI2HUMAN_AGENT_KEY secret env
Optional fallback for API key
AI2HUMAN_BASE_URL env
Override the default AI2Human API base URL

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 10, 2026

! Caution
Maker matches the repo
The publisher (richard7463) is not the repo owner (ai2humanagent); someone else may have listed it
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Law & government datai

More stars than 0% of the other 1783 servers in this category
Published to the registry more recently than 19% of the other 1783 servers in this category
Basic checks equal to or better than 11% of the other 1783 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is AI2Human safe?

It passed 0 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: AI2HUMAN_API_KEY, AI2HUMAN_AGENT_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.2) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Korea Tax Law, Korean Government Documents (HWPX), official.tokyo.jp

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Korea Tax Law

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Korean Government Documents (HWPX)

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official.tokyo.jp

Human-verified guide to official procedures in Tokyo for foreign residents. Not a government site.

by dror-jpEarly↓ 6/wkUpdated today

Computer or cloud

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

AI2Human — Human Fallback Infrastructure for AI Agents

Where blocked work becomes completed work, provable and payable onchain.

Website: ai2human.work | Whitepaper: ai2human.work/whitepaper

What Is AI2Human

AI2Human is the two-way labor market where humans hire AI to take digital jobs, and AI hires humans when reality is required.

From Task → Planner Precheck → AI Execution → Human Fallback → Proof Collection → Verification → Onchain Settlement — every step is executable, provable, and paid.

We are not building a chatbot. We are building an execution market. Our thesis is simple: the market does not need more generated answers. It needs completed tasks.

Most AI products stop at output. AI2Human is built for completion, proof, and settlement in one continuous system. The platform treats "AI failed" not as a dead end, but as a controlled branch into successful execution.

The Problem: The Execution Gap

The real bottleneck is not intelligence. It is execution continuity.

Tasks break when AI hits reality constraints:

CAPTCHAs and identity-bound actions
Signatures, on-site checks, physical verification
Compliance gates, merchant coordination

These are steps that software alone cannot finish. Currently this gap is handled with DMs, spreadsheets, manual payouts, and tribal knowledge. One team's work does not compound.

The Core Loop

Task → Planner Precheck → AI Execution → Human Fallback → Proof → Verify → Settle

Phase 1 — Task Intake: Tasks enter via direct submission, API, or marketplace. Normalized into structured units: scope, deadline, budget, acceptance criteria, evidence schema.

Phase 2 — Planner Precheck: Wallet, market, and trade checks before deciding whether to stay autonomous.

Phase 3 — AI Execution: AI-first path by default. OpenClaw-powered browser automation, web workflows, form filling.

Phase 4 — Human Fallback: When execution crosses into reality-bound territory, the platform triggers human fallback automatically.

Architecture: Eight Core Layers

Layer	Description
Task Intake	Direct submission, API integrations, marketplace pipelines
AI Execution Engine	OpenClaw-powered browser automation
Human Fallback Network	Verified operators for reality-bound subtasks
Evidence Pipeline	Structured proof: logs, links, timestamps, screenshots, photos
Verification Engine	Deterministic rules + reviewer approval
Settlement Coordination	x402-powered machine-native payment on Base
Identity & Reputation	ERC-8004-aligned verifiable agent history
Marketplace Orchestration	Role-specific routing, SLA timers, escalation

Six Agent Roles

Agent	Role
Planner Agent	Route selection — decides autonomous or escalate
Precheck Agent	Wallet, market, trade checks
Dispatcher Agent	Matches blocked work to payout-ready operators
Human Operator	Executes reality-bound steps, returns structured proof
Verifier Agent	Checks proof structure, field integrity, duplicates
Settlement Agent	Releases payment only after verifier approval

Onchain Settlement on Base

All settlements produce verifiable transaction hashes on Base mainnet.

Treasury top-up:  0x3fe5b99b2af4934c3b30d3087a703157e4f7cfcb8fc5dc58cecb48e249788f5e

Settlement tx: 0xee543bc107b411edd0202131b82172eb6efaf29c10457e33d2900ae890a72cf0 Settlement wallet: 0x3f665386b41Fa15c5ccCeE983050a236E6a10108 Asset: USDC on Base mainnet

Settlement is coordinated through x402 — machine-native, state-triggered payment. No "analysis-only" outputs. Every task is replayable with evidence.

Task Marketplace

Browse, claim, and complete tasks at ai2human.work/tasks.

Multi-Mode Reward Distribution

Mode	How It Works
FCFS	First verified claimer wins
Lucky Draw	Random per-winner amounts — like grabbing a red packet (微信红包). Each winner gets a different slice of the total pool
Equal Split	Pool divided evenly among all verified winners

Task Categories

Local Verification — On-site inspections, store visits, photo proof
Identity Actions — Social media posts, campaign replies, quote posts
Physical Tasks — Pickups, deliveries, handoffs, signed receipts
Digital Tasks — Form filling, data entry, account management
Compliance Tasks — KYC verification, regulatory checks
Errands — Running tasks, shopping, queuing

Target Users

Role	Description
Task Posters	Businesses, AI agents, developers. Define requirements, set budgets.
Human Operators	Anyone with skills. Complete reality-bound subtasks and earn USDC.
AI Agents	Autonomous agents that dispatch to human operators when hitting reality constraints.
Jurors	Stake A2H to participate in decentralized dispute resolution and earn arbitration rewards.

Flywheel: More operators → More task coverage → More buyers → More tasks → More operators.

Tech Stack

Frontend: Next.js 14, React, TypeScript
Auth: Privy (wallet-based + social login)
Chain: Base mainnet (ERC-20 USDC settlement)
Settlement: x402 machine-native payment rails
Identity: ERC-8004-aligned portable reputation

Getting Started

git clone https://github.com/ai2humanagent/ai2humanwork.git

cd ai2humanwork npm install npm run dev

Open http://localhost:3000 to browse tasks, or http://localhost:3000/app/profile to set up your operator profile.

Environment Variables

BASE_SETTLEMENT_PRIVATE_KEY=<your settlement wallet key>

BASE_RPC_URL=https://mainnet.base.org BASE_SETTLEMENT_TOKEN_ADDRESS=0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913 BASE_SETTLEMENT_TOKEN_SYMBOL=USDC

The Rule

No "analysis-only" outputs. If work is not completed, it is not done. Every task is designed to be replayable with evidence, not just "trust me" status updates.

AI2Human

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Law & government datai

Common questions

Alternatives

Korea Tax Law

Korean Government Documents (HWPX)

official.tokyo.jp

README from the maker

AI2Human — Human Fallback Infrastructure for AI Agents

What Is AI2Human

The Problem: The Execution Gap

The Core Loop

Architecture: Eight Core Layers

Six Agent Roles

Onchain Settlement on Base

Task Marketplace

Multi-Mode Reward Distribution

Task Categories

Target Users

Tech Stack

Getting Started

Environment Variables

The Rule