AI Business System Advisor

Connect Remote server

claude mcp add --transport http ai-business-system-advisor-mcp https://mcp.prodxsolution.com/ai-business-system-advisor/mcp

{
  "mcpServers": {
    "ai-business-system-advisor-mcp": {
      "url": "https://mcp.prodxsolution.com/ai-business-system-advisor/mcp"
    }
  }
}

{
  "servers": {
    "ai-business-system-advisor-mcp": {
      "type": "http",
      "url": "https://mcp.prodxsolution.com/ai-business-system-advisor/mcp"
    }
  }
}

Settings > Connectors > Add custom connector
URL: https://mcp.prodxsolution.com/ai-business-system-advisor/mcp

Tools 9 found in our last check

• analyze_business_context

  Summarizes the supplied business context, including customer, offer, workflow, goals, constraints, readiness signals, missing information, and confidence.

• map_customer_touchpoints

  Maps customer-facing workflow stages, trust-sensitive moments, automation-safe areas, human-critical areas, missing information, and confidence.

• identify_bottlenecks

  Identifies likely revenue, operations, customer experience, and trust/control bottlenecks from the supplied business context and returns a public-safe summary.

• evaluate_ai_opportunities

  Evaluates candidate AI workflow ideas for business value, implementation readiness, repeatability, trust/control risk, warnings, and missing information.

• assess_trust_control_risks

  Reviews a proposed AI workflow for human review needs, data boundaries, quality controls, escalation triggers, unsafe automation risks, and confidence.

• recommend_first_workflow

  Recommends the safest narrow AI-human workflow to implement first, including roles, review rules, escalation rules, success metrics, and missing information.

• generate_mini_report

  Generates a public-safe mini business system review with snapshot, bottlenecks, opportunities, risks, first workflow, next step, missing information, and confidence.

• recommend_next_step

  Recommends a practical next-step category based on business goal, workflow complexity, implementation readiness, risk level, preferences, and missing information.

• export_intake_packet

  Creates a structured public-safe markdown and JSON intake packet with business context, findings, risks, recommended workflow, missing information, and confidence.

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