A-

mcp.prodxsolution.com

https://mcp.prodxsolution.com/ai-business-system-advisor/mcp
90/100 · MCP Trust Grade · checked 5h ago · MCP 2025-06-18
✓ Watched since 2026-06-03 — behavioral baseline locked. We re-check this server's tool surface on a schedule; if it adds, removes, or silently rewrites a tool (rug-pull), we record it.

What it offers — 9 tools · Developer Tools

analyze_business_context

Summarizes the supplied business context, including customer, offer, workflow, goals, constraints, readiness signals, missing information, and confide

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

evaluate_ai_opportunities

Evaluates candidate AI workflow ideas for business value, implementation readiness, repeatability, trust/control risk, warnings, and missing informati

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 infor

generate_mini_report

Generates a public-safe mini business system review with snapshot, bottlenecks, opportunities, risks, first workflow, next step, missing information,

recommend_next_step

Recommends a practical next-step category based on business goal, workflow complexity, implementation readiness, risk level, preferences, and missing

export_intake_packet

Creates a structured public-safe markdown and JSON intake packet with business context, findings, risks, recommended workflow, missing information, an

Spec conformance20%100
Security (OWASP MCP)30%100
Reliability / performance20%70
Tool hygiene15%100
Transparency / provenance15%70

Observed behavior

No proxied traffic observed for this host yet. Connect it at /connect and its grade gains a measured Reliability score + per-tool behavioral evidence — the half a static scan can't produce.

Findings

No blocking issues found in the static + spec checks.
Grade another server

We re-grade mcp.prodxsolution.com on a schedule and alert your Slack/webhook the moment its tools change or its grade drops — rug-pull insurance for the connection.

Share this report card

A 1200×630 card with the grade + audit — drop it in a post, Slack, or your repo.

MCP Trust report card — mcp.prodxsolution.com grade A-
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Embed this grade

A live badge — it re-verifies itself and shows current stability. Static scorecards can't. Paste it in your README or site to show users you're independently audited.

MCP Trust Grade A- · wmcp.sh
[![MCP Trust Grade A-](https://wmcp.sh/mcp/grade/mcp.prodxsolution.com/badge.svg)](https://wmcp.sh/mcp/grade/mcp.prodxsolution.com)
<a href="https://wmcp.sh/mcp/grade/mcp.prodxsolution.com"><img src="https://wmcp.sh/mcp/grade/mcp.prodxsolution.com/badge.svg" alt="MCP Trust Grade A- · wmcp.sh"></a>

Agents: check this before connecting

Add the wmcp.sh trust oracle as an MCP server and call grade_mcp_server / check_mcp_drift in your agent's pre-connection gate:

https://wmcp.sh/mcp/trust
How this grade is computed. An open, independent rubric — Spec conformance (20%), Security mapped to the OWASP MCP Top 10 (30%), Reliability (20%), Tool hygiene (15%), Transparency (15%) — run by connecting to the server and inspecting its real MCP surface. The grade is free and identical whether or not the operator pays. v1 uses static + spec signals from a single connection; continuous uptime, real latency, and annotation-truthing (declared readOnly vs observed behavior) layer on via the wmcp.sh proxy.