Before you build a feature or product, run it through three specialized LLM agents that score innovation, ethics, and security in sequence. Each agent sees the prior reasoning. You get structured critique with PROCEED/REVISE/REJECT recommendations, not a formal proof. Ships 13 free tools: single-agent consult, full pipeline orchestration, template management for customizing the prompts, and MACP coordination handoffs if you're chaining multiple MCP servers. Supports seven LLM providers via BYOK. Works over streamable-http in Claude Desktop, Cursor, and VS Code. Rate limits are for system health, not paywalls. Think of it as productized multi-judge evaluation with an opinionated three-role specialization, exposed as MCP tools you can invoke mid-conversation.
Public tool metadata for what this MCP can expose to an agent.
run_full_trinityComplete X → Z → CS Trinity validation. X (Innovation/Strategy) → Z (Ethics/Compliance, VETO power) → CS (Security/Feasibility) → Synthesis with overall score and PROCEED/REFINE/HALT verdict.4 paramsComplete X → Z → CS Trinity validation. X (Innovation/Strategy) → Z (Ethics/Compliance, VETO power) → CS (Security/Feasibility) → Synthesis with overall score and PROCEED/REFINE/HALT verdict.
contextstringconcept_namestringsave_to_historybooleanconcept_descriptionstringconsult_agent_xX Agent — Innovation & Strategy analysis. Market opportunity, competitive positioning (vs LangChain/CrewAI/AutoGen), innovation score.3 paramsX Agent — Innovation & Strategy analysis. Market opportunity, competitive positioning (vs LangChain/CrewAI/AutoGen), innovation score.
contextstringconcept_namestringconcept_descriptionstringconsult_agent_zZ Agent — Ethics & Compliance review with VETO POWER. Z-Protocol v1.1: 21 frameworks across 4 jurisdictional tiers (International, EU/EEA, US, ASEAN). Triggers veto on ethical red lines.4 paramsZ Agent — Ethics & Compliance review with VETO POWER. Z-Protocol v1.1: 21 frameworks across 4 jurisdictional tiers (International, EU/EEA, US, ASEAN). Triggers veto on ethical red lines.
contextstringconcept_namestringprior_reasoningstringconcept_descriptionstringconsult_agent_csCS Agent — Security & Feasibility validation. CS Security v1.1: 6-stage, 12-dimension, OWASP Agentic AI (ASI01-ASI10), Socratic interrogation framework.4 paramsCS Agent — Security & Feasibility validation. CS Security v1.1: 6-stage, 12-dimension, OWASP Agentic AI (ASI01-ASI10), Socratic interrogation framework.
contextstringconcept_namestringprior_reasoningstringconcept_descriptionstringlist_prompt_templatesList available Genesis prompt templates with optional filtering by agent, category, or tags.3 paramsList available Genesis prompt templates with optional filtering by agent, category, or tags.
tagsarrayagent_idstringcategorystringget_prompt_templateGet a specific Genesis prompt template by ID.2 paramsGet a specific Genesis prompt template by ID.
template_idstringinclude_contentbooleanexport_prompt_templateExport a Genesis prompt template to Markdown or JSON format.2 paramsExport a Genesis prompt template to Markdown or JSON format.
formatstringmarkdown · jsontemplate_idstringregister_custom_templateRegister a new custom Genesis prompt template.6 paramsRegister a new custom Genesis prompt template.
namestringtagsarraycontentstringagent_idstringcategorystringdescriptionstringimport_template_from_urlImport a Genesis prompt template from a URL (GitHub Gist, raw file).2 paramsImport a Genesis prompt template from a URL (GitHub Gist, raw file).
urlstringvalidatebooleanget_template_statisticsGet Genesis prompt template registry statistics.Get Genesis prompt template registry statistics.
No parameter schema in public metadata yet.
An opinionated MCP server for structured multi-LLM critique.
Three specialized agents — Innovation, Ethics, Security — review your concept before you build it. Multi-vendor (Gemini · Claude · GPT · Groq · Cerebras · Mistral · Ollama). Free, open-source, MCP-native.
Use
streamable-httptransport and the trailing slash/mcp/. See docs/MCP_Server_Troubleshooting_Guide.md if you hit issues.
Claude Code (one command):
claude mcp add -s user verifimind -- npx -y mcp-remote https://verifimind.ysenseai.org/mcp/
Claude Desktop (macOS · Windows):
{
"mcpServers": {
"verifimind": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://verifimind.ysenseai.org/mcp/"]
}
}
}
Cursor / VS Code Copilot (.cursor/mcp.json or .vscode/mcp.json):
{
"servers": {
"verifimind": {
"url": "https://verifimind.ysenseai.org/mcp/",
"transport": "streamable-http"
}
}
}
After registering, add --header "X-VerifiMind-UUID:${VERIFIMIND_UUID}" to opt into the personal usage dashboard at /early-adopters/dashboard/{uuid}. Registration is optional.
VerifiMind PEAS is an MCP server that runs your concept through three specialized LLM judges in sequence:
| Agent | Role | Question it answers |
|---|---|---|
| X (Innovation) | Innovation & competitive positioning | "Is this novel? What's the prior art? What's the strategic angle?" |
| Z (Ethics) | Ethics, compliance, 21-framework jurisdictional check | "What risks does this raise? GDPR, EU AI Act, SG MGF, etc." |
| CS (Security) | Security validation, OWASP Agentic AI Top 10 | "What can break? What's the attack surface? What's the reasoning-layer audit say?" |
Each agent sees the prior agents' reasoning. You get a unified assessment with scores, recommendations (PROCEED / REVISE / REJECT), and full reasoning chains.
What this is not: "Verification" in the formal-methods sense. The output is structured multi-LLM critique, not a mathematical proof. We make that distinction explicitly.
All 13 tools are free for everyone under the Core Tools Always Free pledge.
consult_agent_x — Innovation analysis with competitive positioningconsult_agent_z — Ethics review with 21-framework jurisdictional coverageconsult_agent_cs — Security validation, OWASP Agentic AI Top 10run_full_trinity — X → Z → CS pipeline with chain-of-thought, unified assessmentlist_prompt_templates — Browse templates by agent, category, or tagget_prompt_template — Retrieve a template by IDexport_prompt_template — Export to Markdown or JSONregister_custom_template — Register a new template at runtimeimport_template_from_url — Import from a GitHub Gist or raw URLget_template_statistics — Registry stats by agent / phase / typecoordination_handoff_create — Create a structured MACP v2.2 handoff recordcoordination_handoff_read — Read the most recent coordination handoff(s)coordination_team_status — Aggregate team state across stored handoffsTier identity, not paywall.
pioneer_keyis an optional namespace identifier — omit it and your records land in the shared"anonymous"namespace. No tier blocks any tool.
All VerifiMind PEAS validation tools are free to use, forever. No paywall, no premium tier for tool access. Rate limits apply for system health only (not as monetization). Paid services, when they launch, will be consultation reports — separate from the tools.
Ratified by L (CEO) + Alton (Human Orchestrator) + T (CTO) on May 9, 2026. Active in production since v0.5.28 (May 10, 2026).
Rate limits (system health, equal for all tiers):
| Tier | Identity | Limit |
|---|---|---|
| Anonymous | IP only | 10 req/60s |
| Scholar | UUID (free registration) | 30 req/60s |
| EA / PILOT | UUID + email | 100 req/60s |
VerifiMind PEAS productizes the multi-judge LLM evaluation pattern — a well-established approach in the AI evaluation literature — into an opinionated MCP server with three specialized roles, a Genesis Master Prompt continuity layer, and a multi-vendor BYOK architecture.
What's ours:
What's prior art: Multi-judge LLM evaluation, LLM-as-judge scoring, multi-model orchestration. See Related Work for citations.
We do not claim the underlying methodology is novel.
The full system architecture — from the foundational X / Z / CS multi-agent validation design through the Phase 90 production deployment (MCP transport, BYOK provider layer, security hardening, FLYWHEEL coordination) — is documented in a single comprehensive, fact-checked diagram:
→ VerifiMind-PEAS Architecture Diagram (v0.6.0-Beta, June 2026)
VerifiMind PEAS builds on and acknowledges:
Our contribution: productization quality, MCP integration path, multi-vendor architecture, and the Genesis Master Prompt continuity layer.
v0.6.0-Beta "Adoption First" — verifimind.ysenseai.org · /healthFor honest live metrics, see /changelog. Detailed adoption metrics (weekly cohort, return rate, conversion) are tracked internally and reviewed in iteration handoffs. We deliberately do not display unaudited "total users" numbers — they tend to include bots and dev sessions.
| Mistake | Fix |
|---|---|
Using https://verifimind.ysenseai.org/mcp (no slash) | Use /mcp/ with trailing slash — required by streamable-http transport |
Connecting via server.smithery.ai/... | Smithery legacy was sunset March 1, 2026. Use the direct URL above. |
| Mixing transports | Use streamable-http, not http-sse |
| Trying to call coordination tools and seeing "PIONEER_TIER_REQUIRED" | You're on v0.5.27 or older — the paywall was removed in v0.5.28 (May 10, 2026). All 13 tools are now free. |
For a fuller troubleshooting guide, see docs/MCP_Server_Troubleshooting_Guide.md.
If you use VerifiMind PEAS in research or a project, please cite. We'd love to hear about it — open a GitHub Discussion.
@software{verifimind_peas_2026,
author = {Lee, Alton and {Manus AI} and {Claude Code}},
title = {VerifiMind PEAS: Multi-Agent AI Validation MCP Server},
year = {2026},
url = {https://github.com/creator35lwb-web/VerifiMind-PEAS},
doi = {10.5281/zenodo.17980791},
note = {Multi-vendor MCP server for structured multi-LLM critique}
}
@misc{genesis_methodology_2025,
author = {Lee, Alton and {Manus AI}},
title = {Genesis Prompt Engineering Methodology: Multi-Agent AI Validation Framework},
year = {2025},
url = {https://doi.org/10.5281/zenodo.17972751},
doi = {10.5281/zenodo.17972751}
}
@misc{macp_2025,
author = {Lee, Alton and {Manus AI}},
title = {MACP: Multi-Agent Communication Protocol},
year = {2025},
url = {https://doi.org/10.5281/zenodo.18504478},
doi = {10.5281/zenodo.18504478}
}
A prior-art defensive publication is registered at DOI 10.5281/zenodo.17645665.
| Resource | Where |
|---|---|
| Architecture diagram | docs/architecture/VerifiMind-PEAS-Architecture-Diagram.md |
| Live server health | verifimind.ysenseai.org/health |
| Server changelog | verifimind.ysenseai.org/changelog · CHANGELOG.md |
| Server status | SERVER_STATUS.md |
| Roadmap | ROADMAP.md |
| MCP setup troubleshooting | docs/MCP_Server_Troubleshooting_Guide.md |
| Research library | /library · /research |
| Validation Paradox reflections | /research/paradox |
Evaluation Roadmap (v1.0, tagged roadmap-v1.0) | /research/evaluation-roadmap · canonical source |
| GitHub Discussions | github.com/creator35lwb-web/VerifiMind-PEAS/discussions |
| MCP Registry listing | registry.modelcontextprotocol.io |
| Hugging Face demo | YSenseAI/verifimind-peas |
| Landing page | verifimind.io |
| Long-form README archive (May 10, 2026 snapshot — 87-Day Journey, 8-Skill Stack, full citation library, expanded changelog) | docs/archive/README_2026-05-10_comprehensive.md |
VerifiMind PEAS is released under the MIT License. See LICENSE for the full text.
Copyright (c) 2025-2026 Alton Lee Wei Bin (creator35lwb)
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
The methodology is freely usable under MIT. Forks and derivatives must use different branding.
For paid consultation engagements (planned, not yet active), use GitHub Discussions or email — we'll publish service details and pricing when they're ready.
VerifiMind PEAS was built collaboratively by the FLYWHEEL TEAM — a human orchestrator working with multiple AI agents (Manus AI, Claude Code, Perplexity, Antigravity/Gemini, GodelAI). Multi-agent coordination uses the open MACP protocol.
The 87-day development journey is documented in the Validation Paradox research collection and the iteration handoffs — written contemporaneously, not retrospectively.
External Model Council review (Claude Opus 4.7 + GPT-5.5 + Gemini 3.1 Pro, May 9, 2026) shaped the current positioning. See docs/case-studies for application examples.
Last Updated: June 4, 2026 · Version: v0.6.0-Beta "Adoption First" · MACP: v2.4.1 · Genesis: v2.6.1
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