io.github.MICONNM/openclaw-consensus-mcp

MCPcommunity
v0.1.1io.github.MICONNMUnknownUpdated 2mo agoGitHub

9-LLM consensus + disagreement scoring + cheapest-route picks to fight hallucinations.

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. OpenClaw runs the same prompt across multiple…

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2mo agoLast update
Package
Authorio.github.MICONNM
LicenseUnknown
Version0.1.1
Sourcemcp-registry
GitHubMICONNM/openclaw-consensus-mcp
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/25
→ Publisher: run `forge publish` from the package repo to claim ownership
—Ed25519 publish signature+0/10
→ Included automatically when the publisher runs `forge publish`
—Domain verification+0/5
→ Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
—npm provenance (Sigstore)+0/5
→ Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
DependenciesNot audited
Tool surface—
Security scan✓ Cleanv0.1.1 · 19d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

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. OpenClaw runs the same prompt across multiple models, then returns: a consensus answer with confidence and model response metadata, a disagreement…

Keywords
mcp