# AI Consensus Connector

> AI Consensus Connector — thestevenjohnstone-ai-consensus-connector. Use this tool when you need to leverage collective AI intelligence for informed decision-making, integrating multiple models to analyze and validate coding choices. The AI Consensus Connector solves problems of uncertainty and bias by providing a recommendation and highlighting the strongest dissenting opinion. It takes coding decisions as input and returns a validated recommendation with dissenting analysis, ideal for use cases requiring robust and reliable AI-driven decision support.

Canonical page: https://skillsregistry.net/skills/thestevenjohnstone-ai-consensus-connector  
JSON: https://api.skillsregistry.net/v1/skills/thestevenjohnstone-ai-consensus-connector

## Description

Integrates AI Consensus into coding agents, routing decisions through three frontier AI models for independent analysis and cross-examination, returning a recommendation and strongest dissent.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jy1g7mc3li)
- **Repository:** <https://github.com/TheStevenJohnstone/ai-consensus-connector>

## 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": "thestevenjohnstone-ai-consensus-connector"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/thestevenjohnstone-ai-consensus-connector` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/thestevenjohnstone-ai-consensus-connector/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