epitaxy
Federal drug shortages and recalls joined to the federal contracts that buy those drugs.
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"epitaxy": {
"command": "uvx",
"args": [
"epitaxy-mcp"
]
}
}
}Ausführbare Pakete
0.1.4stdioRemote-Endpunkte
https://drugs.crossgrain.xyz/v1/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (5)
🟢get_data_freshness
Returns when the data was last activated, how many segments are live, and the state of the last run. Call this first when you need to know whether the data is fresh.
Eingabe-Schema
{
"type": "object",
"properties": {}
}🟢list_drug_shortages(status, generic_name, company_id, limit)
Current and resolved US drug shortages as reported by the FDA. Each row carries the generic name, the reporting company and its company_id. Filters: status, generic_name, company_id, limit.
Eingabe-Schema
{
"type": "object",
"properties": {
"status": {
"type": "string",
"description": "for example Current or Resolved"
},
"generic_name": {
"type": "string"
},
"company_id": {
"type": "string"
},
"limit": {
"type": "integer"
}
}
}🟢list_drug_recalls(classification, company_id, limit)
FDA drug recalls and enforcement reports. Filters: classification (Class I, II, III), company_id, limit.
Eingabe-Schema
{
"type": "object",
"properties": {
"classification": {
"type": "string"
},
"company_id": {
"type": "string"
},
"limit": {
"type": "integer"
}
}
}🟢list_federal_drug_contracts(agency, company_id, limit)
US federal contracts for drugs, product service code 6505, from USAspending. Filters: agency, company_id, limit.
Eingabe-Schema
{
"type": "object",
"properties": {
"agency": {
"type": "string"
},
"company_id": {
"type": "string"
},
"limit": {
"type": "integer"
}
}
}🟢get_supplier_exposure(award_id, company_id, min_confidence, limit)
The join: a federal contract whose supplier has an FDA shortage or recall. Every row carries company_name, confidence (exact, probable or weak) and match_method. A cross source join is NEVER exact, because FDA and USAspending share no identifier. The claim is: this government supplier has an active FDA shortage or recall. It does NOT claim that this contract delivers that drug. Without a key you get exact and probable matches only, at most 20 rows, without the evidence field.
Eingabe-Schema
{
"type": "object",
"properties": {
"award_id": {
"type": "string",
"description": "federal award identifier"
},
"company_id": {
"type": "string"
},
"min_confidence": {
"type": "string",
"enum": [
"probable",
"weak"
],
"description": "weak needs a paid key"
},
"limit": {
"type": "integer"
}
}
}Community
Nachweis