# io.github.QuantuLabs/hivemind

> Use this tool when you need to query multiple AI models for consensus responses, solving problems of inconsistent or uncertain outputs from individual models. It integrates with OpenAI, Anthropic, and Google, taking in natural language inputs and producing aggregated responses as output. This tool is ideal for use cases requiring robust and reliable AI-driven decision-making or information gathering.

Canonical page: https://skillsregistry.net/skills/io-github-quantulabs-hivemind  
JSON: https://api.skillsregistry.net/v1/skills/io-github-quantulabs-hivemind

## Description

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

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.1.3
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.QuantuLabs%2Fhivemind)
- **Repository:** <https://github.com/QuantuLabs/Hivemind>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-quantulabs-hivemind"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-quantulabs-hivemind` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-quantulabs-hivemind/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt