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

withHuman

by withHumanAIversion 1.0.0i★ –iRuns in the cloud
Registry nameai.withhuman/withhuman

Install

Overview

Description from the maker (original English)

Set up human approval for your AI agents' tool calls.

PopNx MCP’s three pillars

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

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.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

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

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://app.withhuman.ai/api/mcp/v1

Run this in your terminal

claude mcp add --transport http withhuman https://app.withhuman.ai/api/mcp/v1

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "withhuman": {
      "url": "https://app.withhuman.ai/api/mcp/v1"
    }
  }
}

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": {
    "withhuman": {
      "type": "http",
      "url": "https://app.withhuman.ai/api/mcp/v1"
    }
  }
}

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.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://app.withhuman.ai/api/mcp/v1

Menu names can differ slightly by plan and over time.

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

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

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain withhuman.ai (the registry checks domain ownership)

  • … 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 checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

  • More stars than 0% of the other 32403 servers in this category
  • Published to the registry more recently than 62% of the other 32403 servers in this category
  • Basic checks equal to or better than 100% of the other 32403 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 withHuman safe?

It passed 1 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?

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 –, and the latest version (1.0.0) reached the registry 23 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 in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, LickityClick

Alternatives

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

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
Install

LickityClick

by lickity.click

Create, edit and track LickityClick short links, campaigns and click stats from your AI assistant.

Computer or cloudUpdated today
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.

Approval layer for AI Agents

Put your most consequential agent actions behind human approvals, so your agents can do real work.

Website · Docs · Quickstart · Protocol · Discord · Contributing


We want agents to do more than read data and suggest what to do next. They should be able to roll back a deployment, issue a refund, or merge code. Those actions have consequences, and teams need a way to bring a person in before they happen.

withHuman is the approval layer for that moment. It checks an agent's tool call before it runs against rules you define in one place. Routine calls can be approved automatically, disallowed calls can be denied, and consequential ones can wait for the right person to decide. Every agent you connect follows those rules.

How it works

An adapter (a runtime hook or an SDK wrapper) sends each tool call to withHuman before it runs, over the open Agent Approval Protocol.

sequenceDiagram

participant Agent as Your agent participant WH as withHuman participant You as You Agent->>WH: Wants to call issue_refund(amount: 75) WH->>WH: Checks your approval pipeline WH->>You: Asks for approval by email, Slack or Discord You->>WH: Approve WH->>Agent: Go ahead Agent->>Agent: Runs issue_refund

  • Approval pipelines approve, deny or ask a person, based on the tool and its arguments. For example: approve refunds up to $20, ask payments above that.
  • Escalation paths choose who is asked and when, by team, level and working hours. Reviewers get email, Slack or Discord and decide in the web app with the exact arguments in front of them.

See How withHuman works for how the pieces fit together.

Quickstart

You need Docker.

docker run -d --name withhuman -p 8080:8080 -v withhuman-data:/data quay.io/withhuman/bundle:latest

docker exec withhuman cat /data/bootstrap-secret

Open http://localhost:8080, choose First setup and enter the secret. The welcome page connects your first agent and ends with a test call for you to approve. The quickstart guide covers each step.

To run from source instead, install Go (the version in go.mod) and Node 25, then run make frontend && go run ./cmd/withhuman. The secret is in ~/.withhuman/bootstrap-secret.

Connect your agents

  • Coding agents. Claude Code, Codex, OpenClaw, Pi, Hermes and DeepSeek connect with the withhuman CLI:
  curl -fsSL https://downloads.withhuman.ai/install.sh | sh

withhuman agent install --url https://approvals.example.com

  • Agents you build. LangGraph, Pydantic AI, the OpenAI Agents SDK, CrewAI, Mastra and other frameworks connect through the AAP SDKs. See the examples.

Explore further

Agent skills

Teach your coding agent to connect runtimes and write approval pipelines:

npx skills add https://withhuman.ai

The skills live in skills/.

Deploy

Settings are environment variables, listed in .env.example. Before you go beyond your own machine:

  1. Serve it behind HTTPS and set WITHHUMAN_PUBLIC_ORIGIN to that origin.
  2. Set WITHHUMAN_TRUSTED_PROXIES to your proxy's addresses only.
  3. Set WITHHUMAN_SECRETS_KEY and keep it safe.
  4. Configure SMTP so invitations and password resets reach people.
  5. Back up the whole data directory.
  6. Set OTEL_EXPORTER_OTLP_ENDPOINT to collect its OpenTelemetry metrics.

Don't want to run it yourself? withhuman.ai hosts it and adds the audit log, the AI judge, the MCP gateway, phone notifications and single sign-on.

Telemetry

Once a day withHuman sends a random installation ID, its version, the platform and whether it runs as a binary, a container or on Kubernetes. The answer tells administrators about new releases and security fixes on the Version settings page. Nothing about your organizations, people, agents or requests is sent. Set WITHHUMAN_TELEMETRY=off (or DO_NOT_TRACK=1) to turn it off. See Updates and telemetry.

Community

  • Questions and chat: Discord
  • Bugs and ideas: GitHub Issues
  • Security vulnerabilities: follow SECURITY.md. Do not open an issue.
  • Contributing: CONTRIBUTING.md and the code of conduct
  • Updates: @withHumanAI on X

License

withHuman is licensed under the Apache License 2.0.

Trademarks

withHuman and the withHuman logo are trademarks of Metoro, Inc. The license does not cover them. See TRADEMARKS.md.

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