Product Safety Consumer Risk MCP Server
Pricing
from $350.00 / 1,000 full product safety reports
Product Safety Consumer Risk MCP Server
Product safety MCP wrapping 7 actors. CPSC/NHTSA/FDA recalls, pre-recall signal detection from complaint clustering and pricing anomalies, supplier risk, enforcement momentum. Pay-per-event.
Pricing
from $350.00 / 1,000 full product safety reports
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ryan clinton
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Consumer product safety intelligence with pre-recall signal detection across CPSC, NHTSA, FDA, and CFPB databases. This MCP server orchestrates 7 data sources to monitor active recalls, detect pre-recall warning signals from complaint clustering and pricing anomalies, assess supplier risk concentration, and track regulatory enforcement momentum. Produces Product Risk Radar Scores (0-100) that quantify recall probability before it happens.
What data can you access?
| Data Point | Source |
|---|---|
| Consumer product recalls and safety alerts | CPSC |
| Vehicle safety complaints, investigations, recalls | NHTSA |
| Medical device recalls and safety communications | FDA Devices |
| Consumer financial complaints and dispute data | CFPB |
| Product pricing and discount anomalies | E-Commerce Price Monitor |
| E-commerce storefront quality signals | Shopify Intelligence |
| Manufacturer website content changes | Website Change Monitor |
MCP Tools
| Tool | Price | Description |
|---|---|---|
search_active_recalls | $1.00 | Search active recalls across CPSC, NHTSA, FDA, and CFPB databases with risk scoring |
detect_pre_recall_signals | $1.00 | Detect pre-recall signals from complaint clustering, pricing anomalies, and content changes |
assess_supplier_risk | $1.00 | Assess supplier risk concentration, recall history, and repeat offender detection |
analyze_consumer_complaints | $1.00 | Deep analysis of CFPB complaints with issue clustering, dispute rates, and response patterns |
monitor_pricing_anomalies | $1.00 | Monitor e-commerce pricing for recall-correlated anomalies like sudden deep discounts |
track_enforcement_momentum | $1.00 | Track enforcement action acceleration or deceleration across CPSC, NHTSA, FDA, and CFPB |
generate_product_safety_report | $3.00 | Comprehensive Product Risk Radar report with all 7 sources and 4 scoring models |
Data Sources
- CPSC Recall Monitor -- Consumer Product Safety Commission recall data including hazard descriptions and remedy actions
- NHTSA Vehicle Safety -- Vehicle safety complaints, investigations, defect campaigns, and recall notifications
- FDA Device Recalls -- Medical device recall classification, product codes, and enforcement status
- CFPB Consumer Complaints -- Consumer Financial Protection Bureau complaint database with response tracking
- E-Commerce Price Monitor -- Product pricing anomaly detection across major e-commerce platforms
- Shopify Store Intelligence -- E-commerce presence analysis, product listings, and seller quality signals
- Website Change Monitor -- Manufacturer and retailer website content change detection for product page modifications
How the scoring works
The MCP produces four scoring dimensions that combine into a Product Risk Radar Score (0-100):
Product Risk Radar Score is a composite risk assessment from complaint velocity, recall history across all three agencies (CPSC, NHTSA, FDA), pricing anomalies that correlate with distressed inventory, and enforcement trend direction. Higher scores indicate greater recall or safety risk.
Pre-Recall Signal Detector identifies patterns that historically precede formal recalls: complaint clustering (multiple complaints about the same issue within a short period), pricing anomalies (sudden deep discounts suggesting distressed inventory clearance), and website content changes (product page modifications that remove claims or add warnings).
Supplier Risk Concentration Index evaluates supply chain risk by analyzing recall history by manufacturer, detecting repeat offenders across agencies, and assessing single-supplier dependency through Shopify store analysis.
Regulatory Enforcement Momentum tracks acceleration or deceleration in enforcement actions by agency and product category. Increasing enforcement intensity often predicts additional recalls.
| Score Range | Risk Level | Interpretation |
|---|---|---|
| 0-25 | Safe | No active recalls, minimal complaint activity |
| 26-50 | Monitor | Some complaint activity, watch for trends |
| 51-75 | Elevated | Active recall signals, pre-recall indicators present |
| 76-100 | Danger | Active recalls, high complaint velocity, enforcement action |
How to connect this MCP server
Claude Desktop
Add to your claude_desktop_config.json:
{"mcpServers": {"product-safety-consumer-risk": {"url": "https://product-safety-consumer-risk-mcp.apify.actor/mcp"}}}
Programmatic (HTTP)
curl -X POST https://product-safety-consumer-risk-mcp.apify.actor/mcp \-H "Content-Type: application/json" \-H "Authorization: Bearer YOUR_APIFY_TOKEN" \-d '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"search_active_recalls","arguments":{"product":"infant car seat","manufacturer":"Graco"}},"id":1}'
This MCP also works with Cursor, Windsurf, Cline, and any other MCP-compatible client.
Use cases for product safety intelligence
Product Liability Insurance Underwriting
Score product risk before binding coverage. Identify products with elevated complaint velocity, active recall signals, or supplier risk concentration to inform premium calculations and coverage decisions.
Retail Inventory Risk Management
Monitor supplier product portfolios for pre-recall signals. Detect complaint clustering and pricing anomalies that precede formal recalls so inventory can be managed before announcements.
Consumer Product Due Diligence
Screen products and manufacturers for safety history across CPSC, NHTSA, and FDA. Identify repeat offenders and enforcement patterns that indicate systemic quality issues.
Manufacturing Quality Benchmarking
Compare recall rates and complaint patterns across competing manufacturers. Track enforcement momentum to assess whether regulatory scrutiny is increasing or decreasing for a product category.
E-Commerce Marketplace Safety Monitoring
Monitor third-party sellers and products on e-commerce platforms for safety risks. Detect distressed inventory pricing that may indicate recalled or defective products being liquidated.
How much does it cost?
This MCP uses pay-per-event pricing. You are only charged when a tool is called.
The Apify Free plan includes $5 of monthly platform credits, which covers multiple product safety checks.
| Example Use | Approximate Cost |
|---|---|
| Check active recalls for a product | $1.00 |
| Pre-recall signal detection | $1.00 |
| Full product safety report (all 7 sources) | $3.00 |
| Weekly monitoring of 5 product categories | ~$20.00 |
How it works
- You call a tool via any MCP client with a product name, manufacturer, or category
- The MCP runs Apify actors in parallel -- up to 7 data sources simultaneously for the comprehensive report
- Scoring models process the combined data -- Product Risk Radar, Pre-Recall Signal Detection, Supplier Risk, and Enforcement Momentum are computed
- Structured JSON is returned with scores, signals, recall details, complaint analysis, and pricing data
For example, detect_pre_recall_signals runs CFPB complaints, e-commerce price monitoring, and website change detection in parallel, then applies the pre-recall signal detection algorithm to identify whether complaint clusters and pricing patterns match historical pre-recall signatures.
FAQ
Q: How early can pre-recall signals be detected? A: Historical analysis shows complaint clustering patterns often appear 2-6 months before formal recalls. Pricing anomalies can appear weeks before.
Q: Does this cover all product categories? A: It covers consumer products (CPSC), vehicles (NHTSA), medical devices (FDA), and financial products (CFPB). Food recalls are covered by the separate Food Safety Supply Chain MCP.
Q: Can I monitor a manufacturer continuously?
A: Yes. Schedule periodic calls to track_enforcement_momentum or assess_supplier_risk to detect changes in recall activity and enforcement patterns over time.
Q: How accurate is the pre-recall detection? A: The system identifies statistical patterns, not certainties. Elevated pre-recall scores indicate that complaint and pricing patterns match historical pre-recall signatures, warranting further investigation.
Q: Is it legal to use this? A: All data sources are US government public databases (CPSC, NHTSA, FDA, CFPB). See Apify's guide on web scraping legality.
Q: Can I use this with other MCPs? A: Yes. Combine with the Pharma Pipeline Intelligence MCP for drug product analysis or the Food Safety Supply Chain MCP for food product coverage.
Related MCP servers
| MCP Server | Description |
|---|---|
| ryanclinton/food-safety-supply-chain-mcp | Food safety and supply chain risk intelligence |
| ryanclinton/pharma-pipeline-intelligence-mcp | Drug pipeline competitive intelligence |
| ryanclinton/litigation-intelligence-mcp | Pre-litigation risk assessment |
| ryanclinton/regulatory-change-intelligence-mcp | Federal regulatory change forecasting |
Integrations
This MCP server is built on the Apify platform and supports:
- Apify API for programmatic access and workflow automation
- Scheduled runs via Apify Scheduler for recurring product safety monitoring
- Webhooks for triggering alerts when risk scores exceed thresholds
- Integration with 200+ Apify actors for extending data coverage