This is a business workflow analysis server that helps you figure out which process to automate first, not just throw AI at everything. It exposes nine tools including analyze_business_context, evaluate_ai_opportunities, and assess_trust_control_risks, plus four structured prompts for running mini reviews or preparing diagnostic intake packets. You feed it your business model, customer touchpoints, and workflow ideas, and it generates reports identifying bottlenecks, trust risks, and where humans need to stay in the loop. Think of it as a pre-flight checklist before you build an AI agent. Outputs include mini reviews and structured intake packets you can use for implementation planning. Works over stdio or remote HTTP.
Public tool metadata for what this MCP can expose to an agent.
analyze_business_contextSummarizes the supplied business context, including customer, offer, workflow, goals, constraints, readiness signals, missing information, and confidence.13 paramsSummarizes the supplied business context, including customer, offer, workflow, goals, constraints, readiness signals, missing information, and confidence.
notesstringofferstringaiIdeastringteamSizestringgoal90DaysstringconstraintsarraycurrentGoalstringbusinessTypestringrevenueModelstringriskConcernsstringcurrentProblemstringtargetCustomerstringcurrentWorkflowstringmap_customer_touchpointsMaps customer-facing workflow stages, trust-sensitive moments, automation-safe areas, human-critical areas, missing information, and confidence.13 paramsMaps customer-facing workflow stages, trust-sensitive moments, automation-safe areas, human-critical areas, missing information, and confidence.
aiIdeastringtouchpointsarraybusinessTypestringriskConcernsstringsalesProcessstringcurrentProblemstringsupportProcessstringcurrentWorkflowstringcustomerJourneyarraydeliveryProcessstringrecoveryProcessstringretentionProcessstringonboardingProcessstringidentify_bottlenecksIdentifies likely revenue, operations, customer experience, and trust/control bottlenecks from the supplied business context and returns a public-safe summary.9 paramsIdentifies likely revenue, operations, customer experience, and trust/control bottlenecks from the supplied business context and returns a public-safe summary.
aiIdeastringmetricsstringbusinessTypestringriskConcernsstringcurrentProblemstringteamPainPointsstringbusinessContextstringcurrentWorkflowstringcustomerComplaintsstringevaluate_ai_opportunitiesEvaluates candidate AI workflow ideas for business value, implementation readiness, repeatability, trust/control risk, warnings, and missing information.7 paramsEvaluates candidate AI workflow ideas for business value, implementation readiness, repeatability, trust/control risk, warnings, and missing information.
aiIdeastringbusinessTypestringriskConcernsstringcurrentProblemstringbusinessContextstringcurrentWorkflowstringcandidateUseCasesarrayassess_trust_control_risksReviews a proposed AI workflow for human review needs, data boundaries, quality controls, escalation triggers, unsafe automation risks, and confidence.13 paramsReviews a proposed AI workflow for human review needs, data boundaries, quality controls, escalation triggers, unsafe automation risks, and confidence.
aiIdeastringbusinessTypestringriskConcernsstringworkflowIdeastringcanAffectMoneybooleancurrentProblemstringcustomerFacingbooleancurrentControlsstringcurrentWorkflowstringproposedWorkflowstringusesSensitiveDatabooleancanAffectBrandTrustbooleanrequiresExpertJudgmentbooleanrecommend_first_workflowRecommends the safest narrow AI-human workflow to implement first, including roles, review rules, escalation rules, success metrics, and missing information.16 paramsRecommends the safest narrow AI-human workflow to implement first, including roles, review rules, escalation rules, success metrics, and missing information.
notesstringofferstringrisksarrayaiIdeastringteamSizestringgoal90DaysstringbottlenecksarrayconstraintsarraycurrentGoalstringbusinessTypestringrevenueModelstringriskConcernsstringopportunitiesarraycurrentProblemstringtargetCustomerstringcurrentWorkflowstringgenerate_mini_reportGenerates a public-safe mini business system review with snapshot, bottlenecks, opportunities, risks, first workflow, next step, missing information, and confidence.21 paramsGenerates a public-safe mini business system review with snapshot, bottlenecks, opportunities, risks, first workflow, next step, missing information, and confidence.
notesstringofferstringrisksarrayaiIdeastringnextStepstringteamSizestringconfidencestringlow · medium · highgoal90DaysstringbottlenecksarrayconstraintsarraycurrentGoalstringbusinessTypestringrevenueModelstringriskConcernsstringopportunitiesarraycurrentProblemstringtargetCustomerstringcurrentWorkflowstringbusinessSnapshotstringpreferredNextStepstringrecommendedWorkflowstringrecommend_next_stepRecommends a practical next-step category based on business goal, workflow complexity, implementation readiness, risk level, preferences, and missing information.23 paramsRecommends a practical next-step category based on business goal, workflow complexity, implementation readiness, risk level, preferences, and missing information.
notesstringofferstringaiIdeastringteamSizestringtimelinestringuserGoalstringreadinessstringlow · medium · highriskLevelstringlow · medium · high · unknowngoal90Daysstringpreferencestringself_guided · done_for_you · unsureconstraintsarraycurrentGoalstringbusinessTypestringrevenueModelstringriskConcernsstringcurrentProblemstringtargetCustomerstringcurrentWorkflowstringwantsDoneForYoubooleanwantsSelfGuidedbooleanproblemComplexitystringlow · medium · high · unknownhasExistingAutomationbooleanimplementationReadinessstringlow · medium · high · unknownexport_intake_packetCreates a structured public-safe markdown and JSON intake packet with business context, findings, risks, recommended workflow, missing information, and confidence.22 paramsCreates a structured public-safe markdown and JSON intake packet with business context, findings, risks, recommended workflow, missing information, and confidence.
notesstringofferstringaiIdeastringteamSizestringuserNotesstringgoal90DaysstringconstraintsarraycurrentGoalstringriskSummaryobjectbusinessTypestringrevenueModelstringriskConcernsstringtouchpointMapobjectcurrentProblemstringtargetCustomerstringbusinessContextobjectcurrentWorkflowstringbottleneckSummaryobjectpreferredNextStepstringopportunitySummaryobjectrecommendedNextStepobjectrecommendedWorkflowobjectFind 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.
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
analyze_business_contextmap_customer_touchpointsidentify_bottlenecksevaluate_ai_opportunitiesassess_trust_control_risksrecommend_first_workflowgenerate_mini_reportrecommend_next_stepexport_intake_packetrun_mini_business_system_reviewevaluate_ai_workflow_ideaprepare_diagnostic_intakegovernance_gap_snapshotAsk your AI assistant:
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.
Trust And Control Risk:
Medium. The workflow can affect revenue, brand trust, and customer expectations, so AI should prepare work but not send promises or pricing without approval.
Success Metrics:
- qualified calls booked
- proposal cycle time
- human edit rate
- lead-to-call conversion
Missing Information:
ideal customer criteria, approved claims, disallowed claims, proposal rules, escalation triggers, and success metrics
The server is read-mostly and does not intentionally persist submitted business context. Do not send passwords, API keys, raw private customer records, regulated data, or confidential contracts.
Outputs are first-pass reviews based on the information provided. They are not legal, financial, medical, HR, or compliance advice.
The server uses business-facing language and refuses requests for private implementation details. Public outputs focus on business context, workflow fit, risk controls, recommended next steps, and missing information.
It does not expose protected implementation details, exact formulas, confidential designs, or client-specific confidential data.
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