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PopNx MCPMCP servers for people who use AI · explained in plain words

HUMAN API

by human-api-labsversion 0.2.1i★ 0iRuns in the cloud
Registry nameio.github.human-api-labs/human-ai

How to install

Overview

Description from the maker (original English)

Human execution API for AI agents needing voluntary help with physical-world tasks.

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.

Install

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

Passed 4/4 checks · What you ask goes through the maker’s server (human-api-labs.onrender.com)

First: which AI do you use?

Pick your app and the steps appear below.

Works with Claude · about 2 min

No key, nothing to install · Set it up once on claude.ai or the desktop app, then use it in chat · free accounts can add 1

  1. Open Claude’s Connectors page

    CustomizeConnectors

    CustomizeConnectors1+ Add2https://…3Add4
  2. Click “+ Add” → “Add custom connector” and fill in these 2 fields

    Copy each value into the field with the same name in Claude, then click Continue

    Name · NameHUMAN API
    Remote MCP server URL · Addresshttps://human-api-labs.onrender.com/mcp

    Leave Authentication as Claude detected it, then click Add

  3. Turn it on in a chat

    +ConnectorsHUMAN API

  4. Try it

    Use HUMAN API and tell me what you can do for me, then show me one thing

    ✓ If Claude says it is using HUMAN API or shows a HUMAN API tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with ChatGPT on business plans only

ChatGPT Business, Enterprise or Edu on the web, added by a workspace admin or owner · On Free, Plus or Pro: your ChatGPT plan cannot connect MCP yet

  1. Open ChatGPT’s add-MCP page on the web

    Plugins+Add custom MCP server

    ChatGPTPlugins1+2https://…3Create4
  2. Fill in the name and address

    Enter a name, paste the address under Connection, tick the risk warning and click Create as a plugin

    Name · NameHUMAN API
    Connection · Addresshttps://human-api-labs.onrender.com/mcp
  3. Pick HUMAN API in a chat

    Start a new chat and pick HUMAN API from your plugins before typing

  4. Try it

    Use HUMAN API and tell me what you can do for me, then show me one thing

    ✓ If ChatGPT says it is using HUMAN API or shows a HUMAN API tool in the answer, you are connected

Menu names checked against OpenAI’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Claude Code · about 2 min

No key, nothing to install

  1. Open Terminal

    Mac: press Command+Space and type Terminal · Windows: open PowerShell

  2. Paste this command and press Enter

    claude mcp add --transport http human-ai https://human-api-labs.onrender.com/mcp
  3. Type /mcp in Claude Code

    You should see HUMAN API listed as connected

  4. Try it

    Use HUMAN API and tell me what you can do for me, then show me one thing

    ✓ If Claude Code says it is using HUMAN API or shows a HUMAN API tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor · about 2 min

No key, nothing to install

  1. Click this button to open Cursor

    Open in Cursor

    Cursor asks you to confirm; click Install

  2. Open the AI chat in Cursor in Agent mode

  3. Try it

    Use HUMAN API and tell me what you can do for me, then show me one thing

    ✓ If Cursor says it is using HUMAN API or shows a HUMAN API tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code · about 2 min

No key, nothing to install

  1. Click this button to open VS Code

    Open in VS Code

    VS Code asks you to confirm; click Install

  2. Open the AI chat in VS Code in Agent mode

  3. Try it

    Use HUMAN API and tell me what you can do for me, then show me one thing

    ✓ If VS Code says it is using HUMAN API or shows a HUMAN API tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

Address for apps that connect over the web

Addresshttps://human-api-labs.onrender.com/mcp

JSON settings are under “For developers” below

Stuck? Ask people who use HUMAN API💬 Discussion →
For developers: Terminal commands and JSON settings

Over the web

Claude Code

claude mcp add --transport http human-ai https://human-api-labs.onrender.com/mcp

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "human-ai": {
      "url": "https://human-api-labs.onrender.com/mcp"
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "human-ai": {
      "type": "http",
      "url": "https://human-api-labs.onrender.com/mcp"
    }
  }
}

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

At a glance

Downloads per weeki
Not on npm/PyPI
Licencei
No licence stated
Connection
Runs in the cloud
Transport
streamable-http
Latest versioni
0.2.1
Categoryi
Other
Published to registryi
Oct 30, 2026
Code last changedi
Nov 4, 2026
Maker
human-api-labs
Registry status
Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Connect over the internet in

ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

All apps, with pros and cons →

Related guides

What it can do

Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.

  • discover_humans

    Discover voluntary humans for physical-world tasks requiring presence, eyes, hands, inspection, photography, local access, verification, perception or human judgment.

  • request_human_help

    Request voluntary human execution of a real-world task an AI cannot perform digitally. Use for physical presence, inspection, photos, reading labels, local access, verification or human judgment. Human acceptance is mandatory.

  • get_task_status

    Retrieve the current human decision and status for a HUMAN API task.

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 11, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account human-api-labs, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed 7 days ago

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • ✓ Pass

    Endpoint responds

    Responded in 243 ms (HTTP 200)

  • – Not applicable

    Sign-in with OAuth

    No sign-in needed

  • ✓ Pass

    No hidden instructions in tool descriptions

    Read 3 tool descriptions and found no hidden instructions to the AI

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

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User reviews

No reviews yet

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Compared with others in Otheri

  • More stars than 0% of the other 19235 servers in this category
  • Published to the registry more recently than 77% of the other 19235 servers in this category
  • Basic checks equal to or better than 100% of the other 19235 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 HUMAN API safe?

It passed 4 of 4 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed 7 days ago, and the latest version (0.2.1) reached the registry 12 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT Business and above.

What can I use instead?

In the same category: World Monitor, Claude Flow, Tldraw

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

World Monitor

Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.

by koala73Widely used★ 90.5KUpdated 6 days ago

Runs in the cloud✓ worldmonitor.app

Claude Flow

AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.

by ruvnetWidely used↓ 13.5K/wk★ 81.5KUpdated 14 months ago

Runs on your computer

Tldraw

Draw and visually collaborate with your agents on tldraw's canvas.

by tldrawWidely used★ 51.4KUpdated 8 months ago

Runs in the cloud

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.

HUMAN API

Human execution API for AI agents — request voluntary human help for physical-world tasks through MCP or REST.

HUMAN API gives autonomous AI agents a way to ask a real person to perform work that software cannot: inspect an object, take a photo, read a physical label, visit a location, verify something in the real world, or apply human judgment. Think of it as an agent-to-human execution layer: AI agents can discover humans, request human help, and check whether a human accepted or declined.

For AI agents

Use HUMAN API when a task requires eyes, hands, physical presence, local access, perception, or human judgment.

Production endpoint: https://human-api-labs.onrender.com

  • MCP Streamable HTTP: https://human-api-labs.onrender.com/mcp
  • Agent discovery: https://human-api-labs.onrender.com/llms.txt
  • OpenAPI: https://human-api-labs.onrender.com/openapi.yaml
  • ARD discovery: https://human-api-labs.onrender.com/.well-known/ard.json

MCP tools:

  • discover_humans — find voluntary human capability profiles.
  • request_human_help — ask a human to perform a physical-world task.
  • get_task_status — retrieve the human decision/status.

Example intents:

  • “Find a human in Germany who can inspect a machine label.”
  • “I need someone physically present to photograph an object.”
  • “Ask a person to verify what is visible at a location.”
  • “This task cannot be completed digitally; find human help.”
  • “Hire/request a human for a small real-world task.”

How it works

  1. An AI agent discovers HUMAN API via the MCP Registry, web search, llms.txt, ARD or OpenAPI.
  2. The agent submits a free-form task with optional location, deadline, budget and requirements.
  3. HUMAN API matches human capability profiles.
  4. A real human explicitly chooses ACCEPT or DECLINE.
  5. The decision is returned to the requesting agent.

Humans are not restricted to a rigid job catalogue. Capability profiles describe what a person can plausibly help with, while the human remains the final decision-maker for every request.

Principles

  • Agent-first, human-consent-first.
  • Free-form physical-world tasks rather than a narrow taxonomy.
  • Explicit human acceptance for every task.
  • Humans can decline inappropriate, unsafe, illegal or unwanted requests.
  • No payment processing in the first MVP.
  • Open discovery rather than dependence on a single marketplace.

REST example

{

"task": "Please inspect the label on a machine and report the model number.", "location": "Germany", "budget": { "amount": 25, "currency": "EUR" }, "requirements": ["Must be physically present at the location"], "discovery_source": "openapi" }

Status

Early MVP / market-discovery experiment. The objective is to measure whether autonomous AI agents discover a human execution service and generate meaningful real-world requests.