OpenClaw Consensus
Wraps the OpenClaw Consensus API to run the same prompt across up to nine language models and return aggregated answers with confidence scores. You get three tools: consensus() for multi-model agreement, disagreement_score() to surface when models diverge, and cheapest_route() to try fast/balanced/deep tiers until confidence hits your threshold. Useful when you want a second opinion before accepting a risky code review, routing decision, or factual claim. Requires a RapidAPI key for the OpenClaw endpoint. The consensus output includes vote breakdowns and model metadata so you can see which responses aligned and where outliers appeared.
- tools
- 3
- auth
- Secret needed
- transport
- STDIO
- env var
- 1
- last updated
- Apr 30, 2026
Tools
3 toolsPublic tool metadata for what this MCP can expose to an agent.
consensusGet a 9-LLM consensus answer.
Get a 9-LLM consensus answer.
No parameter schema in public metadata yet.
disagreement_scoreHow much the deep consensus response disagrees on a prompt.
How much the deep consensus response disagrees on a prompt.
No parameter schema in public metadata yet.
cheapest_routeTry fast, balanced, and deep modes in order until the confidence threshold is met.
Try fast, balanced, and deep modes in order until the confidence threshold is met.
No parameter schema in public metadata yet.
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RAPIDAPI_KEY*secretYour RapidAPI key from https://rapidapi.com/yanmiayn/api/openclaw-consensus
Readme
OpenClaw Consensus MCP
Multi-model consensus inside MCP clients: compare answers, surface disagreement, and escalate only when needed.
OpenClaw Consensus MCP wraps the OpenClaw Consensus API as three Model Context Protocol tools. It is designed for workflows where a maintainer wants a second opinion before accepting a risky answer, review summary, or routing decision.
What it does
OpenClaw runs the same prompt across multiple models, then returns:
- a consensus answer with confidence and model response metadata,
- a disagreement heuristic derived from the deep consensus response, and
- a cheapest route recommendation that tries smaller model sets before escalating.
Details
- Repository
- github.com/miconnm/openclaw-consensus-mcp
- Category
- AI & LLM Tools
- Package
openclaw-consensus-mcp- Transport
- STDIO
- Auth
- Required
- Registry
- MCP registry, active
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