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

Hivemind

by QuantuLabsversion 0.1.3i★ –iRuns on your computer
Registry nameio.github.QuantuLabs/hivemind

Install

Overview

Description from the maker (original English)

Query multiple AI models (OpenAI, Anthropic, Google) for consensus responses.

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.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory
  • You need to fill in: OPENAI_API_KEY, GOOGLE_API_KEY

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: OPENAI_API_KEY, GOOGLE_API_KEY

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

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

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": {
    "hivemind": {
      "command": "npx",
      "args": [
        "-y",
        "@quantulabs/hivemind"
      ],
      "env": {
        "OPENAI_API_KEY": "your-value",
        "GOOGLE_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add hivemind --env OPENAI_API_KEY=your-value --env GOOGLE_API_KEY=your-value -- npx -y @quantulabs/hivemind

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": {
    "hivemind": {
      "command": "npx",
      "args": [
        "-y",
        "@quantulabs/hivemind"
      ],
      "env": {
        "OPENAI_API_KEY": "your-value",
        "GOOGLE_API_KEY": "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": {
    "hivemind": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@quantulabs/hivemind"
      ],
      "env": {
        "OPENAI_API_KEY": "your-value",
        "GOOGLE_API_KEY": "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

  • OPENAI_API_KEY secret env
    OpenAI API key for GPT-5.2
  • GOOGLE_API_KEY secret env
    Google AI API key for Gemini

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account QuantuLabs, which owns the repo

  • … 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 Search & AI memoryi

  • More stars than 0% of the other 7243 servers in this category
  • Published to the registry more recently than 2% of the other 7243 servers in this category
  • Basic checks equal to or better than 100% of the other 7243 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 Hivemind 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?

You need to fill in: OPENAI_API_KEY, GOOGLE_API_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 (0.1.3) reached the registry 10 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today
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Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
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Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month
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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.

Hivemind

Multi-model AI consensus platform that queries GPT-5.2, Claude Opus 4.5, and Gemini 3 Pro simultaneously to deliver synthesized, high-confidence responses.


MCP Server for Claude Code

Use Hivemind directly in Claude Code to get perspectives from GPT-5.2 and Gemini 3 Pro. Claude acts as the orchestrator and synthesizes the responses.

Requirements

Note: No Anthropic API key needed - Claude is already your host!

Installation
npm install -g @quantulabs/hivemind

claude mcp add hivemind -- hivemind

Configuration

You need at least one API key, but both are recommended for better consensus:

Option 1: Paste directly (recommended)

/hive-config sk-proj-xxx...   # OpenAI key

/hive-config AIzaSy... # Google key

Option 2: Config file

Create ~/.config/hivemind/.env:

OPENAI_API_KEY=sk-...

GOOGLE_API_KEY=AIza...

Optional: Override default models

OPENAI_MODEL=gpt-5.1 GOOGLE_MODEL=gemini-2.5-flash

A .env.example template is included in the package.

Using with other MCP clients (non-Claude Code)

For standalone MCP usage, you can also add an Anthropic key to include Claude in the consensus:

ANTHROPIC_API_KEY=sk-ant-...

Disable Claude Code mode via /hive-config > Settings > Claude Code Mode.

Usage
/hive "Why is my WebSocket connection dropping?"

Claude orchestrates the consensus from GPT-5.2 and Gemini 3 Pro responses.

Available Tools
ToolDescription
hivemindQuery models and get synthesized consensus
configure_keysSet API keys (stored securely)
check_statusCheck configuration and active providers
configure_hiveToggle grounding search and settings
check_statsView token usage and cost statistics
Claude Code Commands
  • /hive - Orchestrate multi-model consensus with Claude as the synthesizer
  • /hive-config - Configure API keys and settings
  • /hivestats - View usage statistics
Automatic Hivemind Fallback

Copy CLAUDE.md.example to your project's .claude/CLAUDE.md to enable automatic Hivemind consultation when Claude is stuck (after 3+ failed attempts).

Prompt Caching

All providers use optimized caching for cost reduction on follow-up queries:

ProviderTypeSavingsMin Tokens
OpenAIAutomatic50%1024
Gemini 2.5+Implicit90%-
AnthropicExplicit90%1024

Web Interface

A full-featured web app with solo mode, hivemind mode, and conversation history.

Quick Start
# Clone the repository

git clone https://github.com/QuantuLabs/hivemind.git cd hivemind

Install dependencies (requires Bun >= 1.0)

bun install

Start development server

bun dev

Open http://localhost:3000, click the settings icon, and enter your API keys.

Features
  • Multi-Model Consensus: Query 3 leading AI models simultaneously
  • Deliberation Algorithm: Up to 3 rounds of refinement to reach consensus
  • Solo Mode: Chat with individual models (GPT, Claude, Gemini)
  • Hivemind Mode: Get synthesized responses from all models
  • Conversation History: Persistent chat sessions
  • Dark/Light Theme: Full theme support
  • Secure Storage: API keys encrypted with AES-GCM in browser
Security
  • API keys are encrypted using AES-GCM with PBKDF2 key derivation
  • Keys are stored locally in browser localStorage (never sent to servers)
  • Session persistence uses sessionStorage (cleared on browser close)

How Consensus Works

  1. Initial Query: All 3 models receive the same question
  2. Analysis: An orchestrator analyzes responses for agreements/divergences
  3. Refinement: If no consensus, models see other perspectives and refine (up to 3 rounds)
  4. Synthesis: Final response synthesizes agreed points and addresses divergences

Supported Models

OpenAI
  • GPT-5.2 (default)
  • GPT-5.1, GPT-5, GPT-5 Mini, GPT-5 Nano
  • O4 Mini
Anthropic
  • Claude Opus 4.5 (default)
  • Claude Sonnet 4.5, Claude Opus 4, Claude Sonnet 4
Google
  • Gemini 3 Pro (default)
  • Gemini 3 Flash, Gemini 2.5 Pro/Flash/Flash Lite, Gemini 2.0 Flash

Project Structure

hivemind/

├── apps/ │ └── web/ # Next.js 14 frontend ├── packages/ │ ├── core/ # Shared consensus logic & providers │ └── mcp/ # Model Context Protocol server └── .claude/ # Claude Code integration

Development

# Run all tests

bun test

Run tests with coverage

bun test:coverage

Build all packages

bun build

Lint code

bun lint

License

MIT


Developed by QuantuLabs

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