AI Business System Advisor MCP server

AI Business System Advisor MCP

Find the safest first AI workflow for your business.

AI Business System Advisor MCP helps founders, operators, consultants, and small teams review business workflows, AI opportunities, trust/control risks, and implementation readiness before building AI agents or automation.

It produces a public-safe mini review, recommends a practical first AI-human workflow, and exports a structured intake packet for deeper review or implementation planning.

This MCP is designed for business-system thinking, not generic chatbot recommendations or tool-first automation.

What It Does

• Reviews business context, target customers, offers, workflows, and goals.
• Identifies operational bottlenecks and customer journey friction.
• Evaluates AI workflow ideas for value, readiness, and trust/control risk.
• Recommends a narrow first AI-human workflow with review and escalation rules.
• Generates mini reports and structured intake packets.

Who It Is For

• Solo founders
• Service businesses
• B2B consultants
• Agency owners
• Operators
• Small teams exploring AI agents or automation

Problems It Helps Solve

• Which workflow should I automate first?
• Is this AI agent idea safe for my customer experience?
• Where should humans stay in control?
• What trust/control risks exist in this workflow?
• What information is missing before implementation?
• How should I prepare this business for AI automation?

Use With MCP Clients

For Claude Desktop, Cursor, Windsurf, Codex, or another stdio MCP client:

{
  "mcpServers": {
    "ai-business-system-advisor": {
      "command": "npx",
      "args": ["-y", "ai-business-system-advisor-mcp"]
    }
  }
}

You can also run the package directly:

npx -y ai-business-system-advisor-mcp

For remote MCP clients, use:

https://mcp.prodxsolution.com/ai-business-system-advisor/mcp

Smithery listing:

https://smithery.ai/servers/prodxsolution/ai-business-system-advisor-mcp

Available Tools

• analyzebusinesscontext
• mapcustomertouchpoints
• identify_bottlenecks
• evaluateaiopportunities
• assesstrustcontrol_risks
• recommendfirstworkflow
• generateminireport
• recommendnextstep
• exportintakepacket

Available Prompts

• runminibusinesssystemreview
• evaluateaiworkflow_idea
• preparediagnosticintake
• governancegapsnapshot

Available Resources

• Overview
• How it works
• Readiness guide
• Sample mini report
• Sample intake packet
• Privacy note

Example Questions

Ask your AI assistant:

• Review my business and identify the safest first AI workflow to improve.
• Is this AI agent idea safe for customer support, refunds, and complaints?
• Where should humans stay in control in this workflow?
• What trust/control risks should I consider before automating this process?
• Generate a mini business system review and tell me what information is missing.
• Export an intake packet for deeper workflow review.

Example Output

Mini Business System Review

Business Snapshot:
A service agency sells conversion and landing page work to ecommerce brands. Sales capacity is constrained by manual lead research, inconsistent qualification, and proposal drafting.

Likely Bottlenecks:
- Lead research takes too long before a sales call.
- Proposal quality depends on expert availability.
- Customer-facing claims need clearer approval rules.

Recommended First Workflow:
AI prepares a lead research and qualification brief, then drafts proposal sections from approved language. A human reviews lead fit, scope, pricing, claims, and final customer-facing messages.

Shortened. The full README is on GitHub.