{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_alex-kenny-lee-vfjv-panko-food-safety","slug":"alex-kenny-lee-vfjv-panko-food-safety","name":"Panko Alerts — Food Safety Data","type":"mcp","url":"https://smithery.ai/servers/alex-kenny-lee-vfjv/panko-food-safety","page_url":"https://unfragile.ai/alex-kenny-lee-vfjv-panko-food-safety","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:alex-kenny-lee-vfjv/panko-food-safety"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_alex-kenny-lee-vfjv-panko-food-safety__cap_0","uri":"capability://search.retrieval.multi.source.food.recall.search.with.aggregated.government.data","name":"multi-source food recall search with aggregated government data","description":"Searches across FDA, FSIS, and CDC recall databases simultaneously, aggregating results from 25+ government sources into a unified query interface. Implements a federated search pattern that normalizes heterogeneous government data schemas (FDA's OpenData format, FSIS XML feeds, CDC JSON endpoints) into consistent structured results with recall severity, affected products, and distribution scope.","intents":["Find all active recalls for a specific food product across federal agencies","Identify which manufacturers or distributors have recent recall history","Get comprehensive recall data for food safety compliance audits","Monitor for recalls affecting ingredients in a restaurant's supply chain"],"best_for":["Food safety compliance officers managing multi-location operations","Restaurant chains and food service operators tracking supply chain risks","Food manufacturers monitoring competitor and peer recalls","LLM agents building food safety advisory systems"],"limitations":["Recall data latency depends on government source update frequency (typically 24-48 hours behind real-time)","No predictive recall forecasting — only historical and active recalls","Cannot filter by specific distribution channels or retail locations","Aggregation may include duplicate entries across overlapping government databases"],"requires":["MCP client implementation (Claude, custom LLM agent, or compatible tool)","Network access to Panko Alerts aggregation service (alerts.getpanko.app)","No API key required (public data sources)"],"input_types":["text (product name, manufacturer name, UPC code)"],"output_types":["structured JSON with recall metadata (product, reason, distribution, date)","text summaries of recall details"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_alex-kenny-lee-vfjv-panko-food-safety__cap_1","uri":"capability://search.retrieval.foodborne.illness.outbreak.tracking.and.epidemiological.search","name":"foodborne illness outbreak tracking and epidemiological search","description":"Queries CDC foodborne illness outbreak surveillance data, enabling search by pathogen type, food vehicle, state, and date range. Implements epidemiological data normalization from CDC's FoodNet and PulseNet systems, returning outbreak case counts, affected demographics, implicated foods, and investigation status with temporal filtering for trend analysis.","intents":["Track active foodborne illness outbreaks by pathogen (Salmonella, E. coli, Listeria, etc.)","Identify geographic clusters of illness linked to specific food sources","Analyze historical outbreak patterns to inform food safety risk assessments","Monitor outbreak investigation status and public health response"],"best_for":["Public health agencies and epidemiologists tracking disease clusters","Food manufacturers and distributors assessing outbreak risk to their products","Restaurants and food service operators identifying regional food safety threats","LLM agents providing real-time food safety risk briefings"],"limitations":["Outbreak data reflects confirmed cases only — early-stage clusters may not yet be reported","CDC data typically lags 1-2 weeks behind initial illness onset due to investigation timelines","Cannot search by specific restaurant or food facility — only by food type and geography","Demographic filtering limited to age groups and state-level granularity"],"requires":["MCP client implementation","Network access to Panko Alerts service","No authentication required"],"input_types":["text (pathogen name, food type, state abbreviation, date range)"],"output_types":["structured JSON with outbreak metadata (pathogen, cases, deaths, implicated food, states affected, investigation status)","temporal data for trend visualization"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_alex-kenny-lee-vfjv-panko-food-safety__cap_2","uri":"capability://search.retrieval.real.time.food.safety.alerts.and.warning.notifications","name":"real-time food safety alerts and warning notifications","description":"Aggregates active food safety alerts from FDA, FSIS, CDC, and local health departments, providing a unified alert stream searchable by alert type, severity, and geography. Implements a polling-based aggregation pattern that normalizes alert formats across agencies (FDA warning letters, FSIS public health alerts, CDC health advisories, local health department notices) and returns structured alert metadata with actionable details.","intents":["Get immediate notification of new food safety warnings affecting specific products or facilities","Monitor all active alerts for a geographic region (state, city)","Filter alerts by severity level to prioritize response","Integrate food safety alerts into compliance dashboards or agent monitoring systems"],"best_for":["Food safety compliance teams requiring real-time alert monitoring","Restaurant and food service chains managing multi-location risk","Food distributors and wholesalers tracking supply chain disruptions","LLM agents building proactive food safety monitoring systems"],"limitations":["Alert latency depends on government source publication frequency (typically 4-24 hours)","No push notifications — requires polling via MCP tool calls","Alert deduplication across overlapping government sources may be incomplete","Local health department alerts limited to NYC, Chicago, SF, Seattle, Boston (5 cities only)"],"requires":["MCP client with polling capability","Network access to Panko Alerts service","No API key required"],"input_types":["text (alert type, severity level, geographic region)"],"output_types":["structured JSON with alert metadata (type, severity, affected products/facilities, issuing agency, date, action required)","text summaries of alert details"],"categories":["search-retrieval","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_alex-kenny-lee-vfjv-panko-food-safety__cap_3","uri":"capability://search.retrieval.restaurant.inspection.record.search.and.compliance.history.retrieval","name":"restaurant inspection record search and compliance history retrieval","description":"Searches restaurant inspection records and compliance history from NYC, Chicago, SF, Seattle, and Boston health departments, returning inspection scores, violation details, remediation status, and historical trends. Implements a city-specific data normalization layer that maps disparate inspection scoring systems (NYC letter grades, Chicago risk categories, SF inspection scores) into comparable compliance metrics with violation categorization.","intents":["Look up inspection history and current compliance status for a specific restaurant","Compare inspection scores across restaurants in a city or neighborhood","Identify common violation patterns for a restaurant chain","Assess food safety compliance risk before partnering with or visiting a restaurant"],"best_for":["Food safety auditors and compliance consultants evaluating restaurant operations","Restaurant groups benchmarking compliance performance across locations","Consumers and food delivery platforms assessing restaurant safety","LLM agents providing restaurant food safety risk assessments"],"limitations":["Coverage limited to 5 major cities (NYC, Chicago, SF, Seattle, Boston) — no national restaurant database","Inspection data latency varies by city (typically 1-4 weeks behind inspection date)","Inspection scoring systems differ by city — direct comparison requires normalization","Cannot search by inspection date range or violation type across all cities uniformly","No real-time inspection scheduling or follow-up status data"],"requires":["MCP client implementation","Network access to Panko Alerts service","No authentication required"],"input_types":["text (restaurant name, address, city)"],"output_types":["structured JSON with inspection metadata (score, violations, remediation status, inspection date, inspector notes)","historical trend data for compliance tracking"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_alex-kenny-lee-vfjv-panko-food-safety__cap_4","uri":"capability://search.retrieval.food.safety.guidance.and.best.practices.retrieval","name":"food safety guidance and best practices retrieval","description":"Searches curated food safety guides and best practices from FDA, FSIS, CDC, and local health departments, returning regulatory requirements, handling procedures, and compliance checklists. Implements a document retrieval pattern that indexes government food safety guidance documents and returns relevant excerpts with source attribution and regulatory authority, enabling programmatic access to food safety standards.","intents":["Find FDA or FSIS requirements for handling a specific food category","Get temperature and time guidelines for cooking or storing foods safely","Retrieve food safety training materials and compliance checklists","Look up allergen labeling and cross-contamination prevention requirements"],"best_for":["Food safety trainers and compliance officers building training programs","Restaurant and food service operators implementing safety procedures","Food manufacturers ensuring regulatory compliance","LLM agents providing food safety guidance to end users"],"limitations":["Guidance documents are static — does not reflect real-time regulatory changes","Search results depend on document indexing quality — may miss recent guidance updates","No personalized recommendations — returns general guidance without context-specific filtering","Guidance is informational only — does not provide legal compliance advice"],"requires":["MCP client implementation","Network access to Panko Alerts service","No authentication required"],"input_types":["text (food type, safety topic, regulatory requirement)"],"output_types":["structured text with guidance excerpts","source attribution (FDA, FSIS, CDC, local health department)","regulatory authority and applicability"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_alex-kenny-lee-vfjv-panko-food-safety__cap_5","uri":"capability://tool.use.integration.mcp.tool.registry.and.schema.based.function.calling","name":"mcp tool registry and schema-based function calling","description":"Exposes 5 food safety search and lookup tools via the Model Context Protocol (MCP) standard, implementing a schema-based function calling interface that allows MCP-compatible clients (Claude, other LLMs) to invoke tools with structured arguments and receive normalized JSON responses. Each tool is registered with a JSON Schema definition specifying input parameters, output structure, and tool documentation, enabling the client to understand tool capabilities and invoke them with type-safe arguments.","intents":["I want to integrate food safety data queries into my Claude-based AI agent without writing custom API clients","I need to enable my LLM application to autonomously search for recalls, outbreaks, and inspection data as part of a larger reasoning task","I want to expose food safety tools to multiple LLM clients through a standard protocol rather than building client-specific integrations"],"best_for":["AI agents and LLM applications built with Claude or other MCP-compatible models","Developers building multi-tool AI systems that need standardized tool interfaces","Teams migrating from REST APIs to MCP for better LLM integration"],"limitations":["MCP protocol overhead adds ~50-100ms latency per tool invocation compared to direct REST API calls","Tool invocation is synchronous; no streaming responses or long-running async operations","Limited to 5 predefined tools; no dynamic tool registration or custom tool creation","Requires MCP-compatible client; not compatible with standard REST API clients"],"requires":["MCP client implementation (Claude, or MCP-compatible LLM)","MCP server running (Panko Alerts MCP server)","Network connectivity between client and MCP server"],"input_types":["structured JSON (tool arguments matching JSON Schema definitions)"],"output_types":["structured JSON (tool responses with normalized data structures)"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":48,"verified":false,"data_access_risk":"high","permissions":["MCP client implementation (Claude, custom LLM agent, or compatible tool)","Network access to Panko Alerts aggregation service (alerts.getpanko.app)","No API key required (public data sources)","MCP client implementation","Network access to Panko Alerts service","No authentication required","MCP client with polling capability","No API key required","MCP client implementation (Claude, or MCP-compatible LLM)","MCP server running (Panko Alerts MCP server)"],"failure_modes":["Recall data latency depends on government source update frequency (typically 24-48 hours behind real-time)","No predictive recall forecasting — only historical and active recalls","Cannot filter by specific distribution channels or retail locations","Aggregation may include duplicate entries across overlapping government databases","Outbreak data reflects confirmed cases only — early-stage clusters may not yet be reported","CDC data typically lags 1-2 weeks behind initial illness onset due to investigation timelines","Cannot search by specific restaurant or food facility — only by food type and geography","Demographic filtering limited to age groups and state-level granularity","Alert latency depends on government source publication frequency (typically 4-24 hours)","No push notifications — requires polling via MCP tool calls","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.5382248990984367,"quality":0.47,"ecosystem":0.38999999999999996,"match_graph":0.25,"freshness":0.9,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:25.635Z","last_scraped_at":"2026-05-03T15:18:30.335Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=alex-kenny-lee-vfjv-panko-food-safety","compare_url":"https://unfragile.ai/compare?artifact=alex-kenny-lee-vfjv-panko-food-safety"}},"signature":"euHYl2BEhymVoosyl3qElI36hZ7g7BcGspLOz82X33FoPZrNpvR2UW5b9TSEdv/ljz0YuQjXwVXr9bxD0PckBQ==","signedAt":"2026-06-17T22:36:34.353Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/alex-kenny-lee-vfjv-panko-food-safety","artifact":"https://unfragile.ai/alex-kenny-lee-vfjv-panko-food-safety","verify":"https://unfragile.ai/api/v1/verify?slug=alex-kenny-lee-vfjv-panko-food-safety","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}