AI Business System Advisor is an MCP server with 9 tools an agent can call, among them analyze_business_context, assess_trust_control_risks, evaluate_ai_opportunities. It answers at https://mcp.prodxsolution.com/ai-business-system-advisor/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 6 of 6 times since 11 September 2026; the last check, on 24 October 2026, succeeded.
Find the safest first AI workflow before investing in AI agents or automation.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
analyze_business_context | Summarizes the supplied business context, including customer, offer, workflow, goals, constraints, readiness signals, missing information, and confidence. Inputs: businessType, targetCustomer, offer, revenueModel, teamSize, currentGoal |
assess_trust_control_risks | Reviews a proposed AI workflow for human review needs, data boundaries, quality controls, escalation triggers, unsafe automation risks, and confidence. Inputs: workflowIdea, proposedWorkflow, customerFacing, usesSensitiveData, canAffectMoney, canAffectBrandTrust |
evaluate_ai_opportunities | Evaluates candidate AI workflow ideas for business value, implementation readiness, repeatability, trust/control risk, warnings, and missing information. Inputs: businessContext, businessType, currentProblem, currentWorkflow, aiIdea, riskConcerns |
export_intake_packet | Creates a structured public-safe markdown and JSON intake packet with business context, findings, risks, recommended workflow, missing information, and confidence. Inputs: businessType, targetCustomer, offer, revenueModel, teamSize, currentGoal |
generate_mini_report | Generates a public-safe mini business system review with snapshot, bottlenecks, opportunities, risks, first workflow, next step, missing information, and confidence. Inputs: businessType, targetCustomer, offer, revenueModel, teamSize, currentGoal |
identify_bottlenecks | Identifies likely revenue, operations, customer experience, and trust/control bottlenecks from the supplied business context and returns a public-safe summary. Inputs: businessContext, businessType, currentProblem, currentWorkflow, customerComplaints, teamPainPoints |
map_customer_touchpoints | Maps customer-facing workflow stages, trust-sensitive moments, automation-safe areas, human-critical areas, missing information, and confidence. Inputs: customerJourney, touchpoints, salesProcess, onboardingProcess, deliveryProcess, supportProcess |
recommend_first_workflow | Recommends the safest narrow AI-human workflow to implement first, including roles, review rules, escalation rules, success metrics, and missing information. Inputs: businessType, targetCustomer, offer, revenueModel, teamSize, currentGoal |
recommend_next_step | Recommends a practical next-step category based on business goal, workflow complexity, implementation readiness, risk level, preferences, and missing information. Inputs: businessType, targetCustomer, offer, revenueModel, teamSize, currentGoal |
Every block below points at https://mcp.prodxsolution.com/ai-business-system-advisor/mcp. Pick your client and copy.
claude mcp add --transport http ai-business-system-advisor https://mcp.prodxsolution.com/ai-business-system-advisor/mcp
{
"mcpServers": {
"ai-business-system-advisor": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.prodxsolution.com/ai-business-system-advisor/mcp"]
}
}
}{
"mcpServers": {
"ai-business-system-advisor": {
"url": "https://mcp.prodxsolution.com/ai-business-system-advisor/mcp"
}
}
}{
"servers": {
"ai-business-system-advisor": {
"type": "http",
"url": "https://mcp.prodxsolution.com/ai-business-system-advisor/mcp"
}
}
}{
"context_servers": {
"ai-business-system-advisor": {
"url": "https://mcp.prodxsolution.com/ai-business-system-advisor/mcp"
}
}
}{
"mcpServers": {
"ai-business-system-advisor": {
"serverUrl": "https://mcp.prodxsolution.com/ai-business-system-advisor/mcp"
}
}
}{
"mcpServers": {
"ai-business-system-advisor": {
"url": "https://mcp.prodxsolution.com/ai-business-system-advisor/mcp"
}
}
}name: AI Business System Advisor
version: 0.0.1
schema: v1
mcpServers:
- name: AI Business System Advisor
type: streamable-http
url: https://mcp.prodxsolution.com/ai-business-system-advisor/mcp{
"mcpServers": {
"ai-business-system-advisor": {
"httpUrl": "https://mcp.prodxsolution.com/ai-business-system-advisor/mcp"
}
}
}{
"mcpServers": {
"ai-business-system-advisor": {
"type": "http",
"url": "https://mcp.prodxsolution.com/ai-business-system-advisor/mcp"
}
}
}{
"mcpServers": {
"ai-business-system-advisor": {
"url": "https://mcp.prodxsolution.com/ai-business-system-advisor/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fmcp.prodxsolution.com%2Fai-business-system-advisor%2Fmcp&type=streamable_http&id=ai-business-system-advisor&name=AI%20Business%20System%20Advisor
It answered our last check on 24 October 2026 in 352 ms. Over 6 checks since 11 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.
9, as returned by the server's own tools/list on 21 September 2026: analyze_business_context, assess_trust_control_risks, evaluate_ai_opportunities, export_intake_packet, generate_mini_report, identify_bottlenecks, map_customer_touchpoints, recommend_first_workflow, and 1 more.
It answered our last check on 24 October 2026 in 352 ms. Over 6 checks since 11 September 2026 it answered 6.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://mcp.prodxsolution.com/ai-business-system-advisor/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.tenkai2018. Endpoint host: mcp.prodxsolution.com. ARD identifier: urn:air:io.github.tenkai2018:mcp:ai-business-system-advisor-mcp.
First indexed 10 September 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.