VerifiMind-PEAS

VerifiMind-PEAS MCP Server provides a production-ready, multi-model validation endpoint that enables you to orchestrate X, Z, and CS agents for comprehensive concept assessment, ethical alignment, and security review. It is designed to be integrated with your existing MCP clients to deliver consistent, auditable Trinity validation results across diverse AI models.

How to use

You connect your MCP client to the VerifiMind-PEAS MCP Server using the HTTP transport defined for MCP. Point your client to the server URL and choose the http-sse transport to receive streaming updates during a validation session. Start a session with your concept or idea, then let the X Intelligent Agent (Innovation) generate initial concepts, followed by the Z Guardian Agent (Ethics) and CS Security Agent (Security) to validate ethics and security. You, as the Human Orchestrator, synthesize all perspectives, document decisions in Genesis Master Prompts, and trigger iterative refinements as needed.

How to install

No software installation is required to use this MCP server. You configure your MCP client to connect to the provided HTTP endpoint and transport.

"mcpServers": {
  "verifimind-genesis": {
    "url": "https://verifimind.ysenseai.org/mcp",
    "transport": "http-sse"
  }
}

Additional sections

Configuration notes: The MCP server exposes a production API endpoint at verifimind.ysenseai.org/mcp. Use the http-sse transport to establish streaming communication for validation sessions. When you configure clients, you may store the server reference under a named MCP entry like verifimind-genesis. The server supports multiple providers for multi-model validation; you can begin sessions with X Agent for analysis, then add Z Agent for ethics and CS Agent for security validation.

Security considerations: Ensure your MCP client communicates over HTTPS and validates certificates. Treat validation sessions as auditable workflows: capture decisions, rationale, and any veto events. If you require DoD-grade logging, enable the server’s health monitoring and production logging features in your deployment environment.

Example integration steps include adding the VerifiMind-PEAS MCP entry to your CLAUDE Code, Cursor, or generic LLM integration configuration, using the URL above and http-sse as the transport.

Notes

VerifiMind-PEAS is a methodology-driven framework that enables validation across multiple AI perspectives. It is not a code generation or deployment system. Use it with your existing tools to establish a systematic validation workflow that prioritizes ethics, security, and human-centered orchestration.

Available tools

X Intelligent Agent

Analytical research and feasibility analysis to generate initial concepts and validation perspectives.

Z Guardian Agent

Ethics-focused validation to ensure alignment with ethical, cultural, and accessibility considerations.

CS Security Agent

Security-focused validation to identify vulnerabilities and assess risk.

Genesis Master Prompts

Stateful memory and project continuity for multi-model validation sessions.

Orchestrator

Human-centered coordination that synthesizes AI perspectives into final decisions.

PDF Report Generator

Audit trail and evidence document generation for Trinity validation.