AI Business System Advisor

Name: AI Business System Advisor
Author: tenkai2018

MCP serverMCP

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

by tenkai2018repository ↗v0.1.10

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Observed by Wellknown

Evidence

Everything here was measured by our prober or read from a registry. Nothing is self-reported.

30-day availability109/109 checks ok

when	check	result	http	latency	detail
6 h ago	mcp initialize	ok	200	59 ms	server ai-business-system-advisor 0.1.10 · protocol 2025-06-18 · 9 tools
12 h ago	mcp initialize	ok	200	38 ms	server ai-business-system-advisor 0.1.10 · protocol 2025-06-18 · 9 tools
19 h ago	mcp initialize	ok	200	101 ms	server ai-business-system-advisor 0.1.10 · protocol 2025-06-18 · 9 tools
26 h ago	mcp initialize	ok	200	82 ms	server ai-business-system-advisor 0.1.10 · protocol 2025-06-18 · 9 tools
32 h ago	mcp initialize	ok	200	34 ms	server ai-business-system-advisor 0.1.10 · protocol 2025-06-18 · 9 tools
2 d ago	mcp initialize	ok	200	19 ms	server ai-business-system-advisor 0.1.10 · protocol 2025-06-18 · 9 tools
2 d ago	mcp initialize	ok	200	99 ms	server ai-business-system-advisor 0.1.10 · protocol 2025-06-18 · 9 tools
2 d ago	mcp initialize	ok	200	77 ms	server ai-business-system-advisor 0.1.10 · protocol 2025-06-18 · 9 tools
3 d ago	mcp initialize	ok	200	40 ms	server ai-business-system-advisor 0.1.10 · protocol 2025-06-18 · 9 tools
3 d ago	mcp initialize	ok	200	51 ms	server ai-business-system-advisor 0.1.10 · protocol 2025-06-18 · 9 tools

Tools observed via MCP handshake

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 confid
recommend_next_step — Recommends a practical next-step category based on business goal, workflow complexity, implementation readiness, risk level, preferences, and missing informatio
export_intake_packet — Creates a structured public-safe markdown and JSON intake packet with business context, findings, risks, recommended workflow, missing information, and confiden

Declared by sources

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No long description beyond the summary.

kind Official MCP Registry

name Official MCP Registry

repoUrl Official MCP Registry

summary Official MCP Registry

version Official MCP Registry

description Official MCP Registry

publisherName Official MCP Registry

Provenance

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Official MCP Registryio.github.tenkai2018/ai-business-system-advisor-mcp

first seen 1 mo ago · fetched 2 d agoopen ↗

Field history (6 recent events)

1 mo ago · declared · summary → "Find the safest first AI workflow before investing in AI agents or automation."
1 mo ago · declared · description → "Find the safest first AI workflow before investing in AI agents or automation."
1 mo ago · declared · publisherName → "tenkai2018"
1 mo ago · declared · repoUrl → "https://github.com/tenkai2018/ai-business-system-advisor-mcp"
1 mo ago · declared · version → "0.1.10"
1 mo ago · declared · protocols → ["mcp"]

This record is unclaimed

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Capabilities

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