# OpenClaw Consensus MCP

> OpenClaw Consensus MCP — miconnm-openclaw-consensus-mcp. Use this tool when you need to achieve consensus across multiple models, compare answers, and identify disagreements. It solves problems of inconsistent outputs and inefficient escalation by surfacing discrepancies and selecting the cheapest route. The OpenClaw Consensus MCP tool takes in model outputs as input and provides consensus results, disagreement scores, and selected routes as output.

Canonical page: https://skillsregistry.net/skills/miconnm-openclaw-consensus-mcp  
JSON: https://api.skillsregistry.net/v1/skills/miconnm-openclaw-consensus-mcp

## Description

Multi-model consensus inside MCP clients: compare answers, surface disagreement, and escalate only when needed. It wraps the OpenClaw Consensus API as three MCP tools for consensus, disagreement scoring, and cheapest route selection.

## 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:** api-integration
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bsh8k52vfd)
- **Repository:** <https://github.com/MICONNM/openclaw-consensus-mcp>

## 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": "miconnm-openclaw-consensus-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/miconnm-openclaw-consensus-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/miconnm-openclaw-consensus-mcp/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