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.
Exposes a multi-model council (panel-judge-synthesizer) and a build/check loop as MCP tools, enabling Claude Code or any MCP client to perform structured multi-model analysis and synthesis locally.
MCP server that provides an ask_human tool so AI agents can request decisions from users via chat apps, with deadlines, defaults, and an append-only audit log.
One MCP to rule them all. A single MCP endpoint that aggregates many downstream connectors — remote MCP servers and plain HTTP APIs — and presents agents a fixed set of nine meta-tools.