# AI Business System Advisor MCP server

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

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-tenkai2018-ai-business-system-advisor-mcp
- Repository: https://github.com/tenkai2018/ai-business-system-advisor-mcp

## Install
- Command: `npx -y ai-business-system-advisor-mcp`
- Endpoint: https://ai-business-system-advisor-mcp.prodxsolution.workers.dev/mcp
- Auth: Not captured

## Setup notes
- Package: Npm ai-business-system-advisor-mcp v0.1.7
- Remote endpoint: https://ai-business-system-advisor-mcp.prodxsolution.workers.dev/mcp

## Tools
- analyze_business_context (Analyze business context) - Summarize business model, target customer, offer, constraints, goals, missing information, and first AI opportunity hypotheses. Endpoint: https://ai-business-system-advisor-mcp.prodxsolution.workers.dev/mcp
- map_customer_touchpoints (Map customer touchpoints) - Map likely customer journey stages, trust moments, service recovery opportunities, and human review rules. Endpoint: https://ai-business-system-advisor-mcp.prodxsolution.workers.dev/mcp
- identify_bottlenecks (Identify bottlenecks) - Identify likely revenue, operations, customer experience, and trust/control bottlenecks from the supplied context. Endpoint: https://ai-business-system-advisor-mcp.prodxsolution.workers.dev/mcp
- evaluate_ai_opportunities (Evaluate AI opportunities) - Evaluate practical AI assistance opportunities and avoid high-risk full-autonomy patterns. Endpoint: https://ai-business-system-advisor-mcp.prodxsolution.workers.dev/mcp
- assess_trust_control_risks (Assess trust and control risks) - Assess risk categories, data boundaries, human review rules, and escalation controls for AI-enabled workflows. Endpoint: https://ai-business-system-advisor-mcp.prodxsolution.workers.dev/mcp
- recommend_first_workflow (Recommend first workflow) - Recommend a narrow, measurable, human-reviewable first AI-assisted workflow with roles, review rule, escalation rule, and metrics. Endpoint: https://ai-business-system-advisor-mcp.prodxsolution.workers.dev/mcp
- generate_mini_report (Generate mini report) - Generate a concise public-safe mini business system review with bottlenecks, opportunities, risks, first workflow, next step, and note. Endpoint: https://ai-business-system-advisor-mcp.prodxsolution.workers.dev/mcp
- recommend_next_step (Recommend next step) - Recommend a neutral next-step category without pricing or hardcoded sales offers. Endpoint: https://ai-business-system-advisor-mcp.prodxsolution.workers.dev/mcp
- export_intake_packet (Export intake packet) - Export a structured public-safe markdown and JSON intake packet for deeper review. Endpoint: https://ai-business-system-advisor-mcp.prodxsolution.workers.dev/mcp

## Resources
- advisor://overview - Overview Overview MIME type: text/markdown
- advisor://how-it-works - How it works How it works MIME type: text/markdown
- advisor://readiness-guide - Readiness guide Readiness guide MIME type: text/markdown
- advisor://sample-mini-report - Sample mini report Sample mini report MIME type: text/markdown
- advisor://sample-intake-packet - Sample intake packet Sample intake packet MIME type: text/markdown
- advisor://privacy - Privacy note Privacy note MIME type: text/markdown

## Prompts
- run_mini_business_system_review - Run mini business system review Guide the assistant to run a public-safe mini business system review. Arguments: businessContext
- evaluate_ai_workflow_idea - Evaluate AI workflow idea Evaluate whether an AI workflow idea is safe, useful, and reviewable. Arguments: idea
- prepare_diagnostic_intake - Prepare diagnostic intake Prepare a structured intake packet for a deeper business-system review. Arguments: notes
- governance_gap_snapshot - Governance gap snapshot Identify data boundaries, review rules, escalation rules, and quality controls. Arguments: workflow

## Metadata
- Owner: io.github.tenkai2018
- Version: 0.1.7
- Runtime: Npm
- Transports: STDIO, HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: May 31, 2026
- Source: https://registry.modelcontextprotocol.io