Connect-MCP

AI Business System Advisor

io.github.tenkai2018/ai-business-system-advisor-mcp · v0.1.10

Find the safest first AI workflow before investing in AI agents or automation.

MCPremotelocal · npmno credentialsCRM & sales

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 9 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 100/100

What it does: 9 tools · 9 read, 0 write · CRM & sales

Test call analyze_business_context: worked (1,154 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: +5
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://mcp.prodxsolution.com/ai-business-system-advisor/mcp
Package
registry:   npm
identifier: ai-business-system-advisor-mcp
version:    0.1.10
transport:  stdio

Tools

9 tools listed at 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.

Badge

Connect-MCP badge for io.github.tenkai2018/ai-business-system-advisor-mcp

Markdown for your README
[![Connect-MCP](https://clawy.uk/mcp/badge/io.github.tenkai2018/ai-business-system-advisor-mcp.svg)](https://clawy.uk/mcp/s/io.github.tenkai2018/ai-business-system-advisor-mcp)

Repository