AI Business System Advisor

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

Connector by tenkai2018 · GitHub account verified by the MCP Registry

IndexedLicense unknownLocal (stdio)Remote (HTTP)

Chalk Labs

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Install

Works with Claude Code, VS Code, Codex, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/tenkai2018-ai-business-system-advisor-mcp

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Remote endpoint

https://mcp.prodxsolution.com/ai-business-system-advisor/mcp Remote (HTTP)

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About

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

Reviews

Write a review

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools: 9 read · 0 write · 0 deleteRead-only
Secrets: None asked for
Install scripts: Not scanned yet
Runs as: Node.js package

Tools by what they do 9

From the running server's own tool list (tools/list) on Oct 25, 2026.

Read 9 · Look things up without changing anything.

analyze_business_context
assess_trust_control_risks
evaluate_ai_opportunities
export_intake_packet
generate_mini_report
identify_bottlenecks
map_customer_touchpoints
recommend_first_workflow
recommend_next_step

Network hosts it talks to 1

mcp.prodxsolution.com · found in remote endpoint, install command

Tools (9)

As the server listed them on Oct 25, 2026. Descriptions are the server’s own words; hidden characters are shown as [U+…].

analyze_business_contextAnalyze Business Contextread-only
Summarizes the supplied business context, including customer, offer, workflow, goals, constraints, readiness signals, missing information, and confidence.
assess_trust_control_risksAssess Trust And Control Risksread-only
Reviews a proposed AI workflow for human review needs, data boundaries, quality controls, escalation triggers, unsafe automation risks, and confidence.
evaluate_ai_opportunitiesEvaluate AI Opportunitiesread-only
Evaluates candidate AI workflow ideas for business value, implementation readiness, repeatability, trust/control risk, warnings, and missing information.
export_intake_packetExport Intake Packetread-only
Creates a structured public-safe markdown and JSON intake packet with business context, findings, risks, recommended workflow, missing information, and confidence.
generate_mini_reportGenerate Mini Reportread-only
Generates a public-safe mini business system review with snapshot, bottlenecks, opportunities, risks, first workflow, next step, missing information, and confidence.
identify_bottlenecksIdentify Bottlenecksread-only
Identifies likely revenue, operations, customer experience, and trust/control bottlenecks from the supplied business context and returns a public-safe summary.
map_customer_touchpointsMap Customer Touchpointsread-only
Maps customer-facing workflow stages, trust-sensitive moments, automation-safe areas, human-critical areas, missing information, and confidence.
recommend_first_workflowRecommend First Workflowread-only
Recommends the safest narrow AI-human workflow to implement first, including roles, review rules, escalation rules, success metrics, and missing information.
recommend_next_stepRecommend Next Stepread-only
Recommends a practical next-step category based on business goal, workflow complexity, implementation readiness, risk level, preferences, and missing information.

Signals

Stars: 0
Forks: 0
Open issues: 0
Last commit: May 31, 2026 (5 months ago)
Last release: May 31, 2026 (5 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Registry name: io.github.tenkai2018/ai-business-system-advisor-mcp
Version: 0.1.10
Auth: Auth not stated
Packages: npm ai-business-system-advisor-mcp
License: License unknown
Repository: github.com/tenkai2018/ai-business-system-advisor-mcp
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: Official MCP Registry github-graphql

Rank

Unranked

Not shown in browse, so it has no position.

Score

0.493

Security 30%not yet
Popularity 25%0.29
Freshness 20%0.55
Rating 15%not yet
Docs 10%0.85

How ranking works →

Grades

Freshness

Active in the last 6 months. Last activity 5 months ago.

–

Security

Security scan: in progress. Grades from our dependency, secret, code and prompt-injection checks appear here once they launch. Until then, check the code before you install.

Indexed

Found automatically from a public source. Not yet claimed by its publisher.

How grades work →

Availability

100% uptime, last 30 days (1 check)

Last check: 10 days ago
Status: Up
Median response: 561 ms

Up
Up, auth required
Down
Not checked
No data

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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

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Cite this page

AI Business System Advisor MCP server. Agent Mart. https://agentmart.dev/connectors/tenkai2018-ai-business-system-advisor-mcp (last updated 2026-10-24)