Gold IRA Sales Analysis MCP Server

An advanced Model Context Protocol (MCP) server for analyzing B2C Gold IRA sales call transcripts through 6 specialized prompts executed in strategic order. Compatible with Claude Code, Gemini CLI, and other MCP clients. Hosted on smithery.ai for broad accessibility.

🎯 Purpose

This MCP server provides AI assistants with structured prompts and context to perform comprehensive analysis of B2C Gold IRA sales calls. Instead of running the analysis internally, it supplies the AI with everything needed to execute the analysis using their own LLM capabilities.

🔄 Analysis Framework

Execution Order: 2→3→4→5→6→1

The system executes 6 specialized prompts in a specific strategic order, with each analysis building context for the next:

Prompt.2 - Conversation Dynamics Analysis (First execution)
Prompt.3 - Psychology & Decision-Making Profile
Prompt.4 - Objection Analysis & Handling
Prompt.5 - Deal Risk Assessment
Prompt.6 - Action Plan & Follow-up Strategy
Prompt.1 - Strategic Qualification Assessment (FINAL comprehensive)

Critical Note: Prompt.1 serves as the FINAL comprehensive assessment that synthesizes insights from all 5 previous analyses.

🎨 B2C Gold IRA Focus

Specifically designed for Business-to-Consumer Gold IRA sales analysis:

Target Audience: Individual/family retirement planning
Key Factors: Retirement accounts (IRA, 401k, etc.), family decision-making, investment experience
Context: Pre-retirement and retired individuals considering precious metals
Goal: Qualification for Gold IRA rollover or direct purchase

🚀 Quick Start

Installation

npm install
npm run build

Using with Claude Code

# Add to your Claude Code configuration
{
  "mcpServers": {
    "goldira-analysis": {
      "command": "node",
      "args": ["/path/to/dist/server.js"],
      "env": {}
    }
  }
}

Using with Gemini CLI

# Configure MCP server in Gemini CLI
gemini mcp add goldira-analysis node /path/to/dist/server.js

Smithery.ai Hosting

This server is available on smithery.ai for instant access.

🛠 Usage

Basic Analysis

// Call the MCP tool
const result = await mcpClient.callTool('analyze_goldira_transcript', {
  transcript: "Your sales call transcript here...",
  metadata: {
    agentName: "John Smith",
    duration: 45,
    retirementStatus: "pre-retirement", 
    accountTypes: ["401k", "ira"],
    investmentExperience: "intermediate",
    familyMembers: 2
  }
});

// The result contains structured prompts and instructions
// for your AI assistant to execute
console.log(result.prompts); // Array of 6 prompts in order 2→3→4→5→6→1
console.log(result.analysisInstructions); // System instructions 
console.log(result.executionGuidance); // Step-by-step guidance

🔒 Security Features

Input Validation: Comprehensive Zod schema validation and sanitization
Rate Limiting: 100 requests/15min general, 5 analyses/minute
Session Management: Secure session tracking with 30-minute timeout
Security Headers: Helmet.js integration with CSP, HSTS, XSS protection
Audit Logging: Complete security event logging and monitoring

🎉 Features

✅ Multi-AI assistant compatibility (Claude Code, Gemini CLI)
✅ Strategic 6-prompt execution order (2→3→4→5→6→1)
✅ B2C Gold IRA specialized analysis
✅ Enterprise-grade security validation
✅ Smithery.ai hosted for instant access
✅ Comprehensive documentation and examples
✅ TypeScript with full type safety
✅ Rate limiting and session management
✅ React frontend interface included

Built for the future of AI-powered sales analysis 🚀

This server cannot be installed

security - not tested

license - not found

quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Enables AI assistants to analyze B2C Gold IRA sales call transcripts through 6 specialized prompts executed in strategic order. Provides structured analysis of conversation dynamics, psychology, objections, deal risk, and strategic qualification for retirement planning sales calls.

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