semi-data

US-government semiconductor & quantum supply-chain intelligence: controls, entities, funding.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
90%
Qualität der Benennung
100%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~1,533Tokens (Tool-Definitionen)
~2.5 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (1.20% von 128k Kontext)

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": {
    "semi-data": {
      "url": "https://semidata.dev/v1/mcp"
    }
  }
}

Remote-Endpunkte

https://semidata.dev/v1/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (6)

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🟢search_regulatory_signals(material, type, importance, country, since, ...)

Federal Register regulatory signals on semiconductor-critical materials: export controls, sanctions, import restrictions, and strategic-reserve actions. LLM-structured with importance scoring.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "material": {
      "type": "string",
      "description": "Material name; matched within materials_mentioned, with synonym expansion (e.g. Gallium also matches GaN). Free-text values: Gallium, Germanium, Indium, Silicon, Rare Earth, Cobalt, Lithium, Tellurium, Selenium."
    },
    "type": {
      "type": "string",
      "enum": [
        "export_control",
        "import_restriction",
        "strategic_reserve",
        "sanctions",
        "supply_disruption",
        "designation",
        "regulatory_update"
      ],
      "description": "signal_type to filter by."
    },
    "importance": {
      "type": "string",
      "enum": [
        "high",
        "medium",
        "low"
      ],
      "description": "strategic_importance level."
    },
    "country": {
      "type": "string",
      "description": "Country NAME (full name, e.g. \"China\", \"Russia\")  -  matched within countries_affected. Not an ISO code."
    },
    "since": {
      "type": "string",
      "description": "ISO date; records published on or after this date."
    },
    "sector": {
      "type": "string",
      "enum": [
        "semiconductor",
        "quantum"
      ],
      "description": "Filter to a tech vertical. quantum = quantum-relevant records (export controls on qubits, cryogenics, etc.). Omit for all."
    },
    "q": {
      "type": "string",
      "description": "Full-text search across title, abstract, and summary."
    },
    "limit": {
      "type": "integer",
      "description": "limit (default 50, max 200)"
    },
    "offset": {
      "type": "integer",
      "description": "offset (default 0)"
    }
  }
}
🟢search_mineral_deposits(commodity, country, state, status, min_score, ...)

USGS MRDS mineral deposit records for semiconductor-critical materials. 1,233 deposits. NOTE: this is a 2011 historical snapshot - use as_of in the response meta.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "commodity": {
      "type": "string",
      "description": "Commodity name with synonym expansion (e.g. Gallium, Lithium, Cobalt)."
    },
    "country": {
      "type": "string",
      "description": "Country name (exact match), e.g. \"United States\", \"China\"."
    },
    "state": {
      "type": "string",
      "description": "US state filter (exact match)."
    },
    "status": {
      "type": "string",
      "enum": [
        "Producer",
        "Past Producer",
        "Prospect",
        "Occurrence",
        "Plant"
      ],
      "description": "development_status (exact match)."
    },
    "min_score": {
      "type": "integer",
      "description": "Minimum semiconductor relevance score (1-10)."
    },
    "active_only": {
      "type": "boolean",
      "description": "Only return active producers/plants."
    },
    "q": {
      "type": "string",
      "description": "Full-text search (ranked) across site name, commodity, ore controls, and location."
    },
    "limit": {
      "type": "integer",
      "description": "limit (default 50, max 200)"
    },
    "offset": {
      "type": "integer",
      "description": "offset (default 0)"
    }
  }
}
🟢search_sec_filings(material, entity, form, importance, sentiment, ...)

SEC EDGAR filings processed with an LLM to extract supply chain signals, sentiment, and material mentions.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "material": {
      "type": "string",
      "description": "Material mentioned in filing (synonym-expanded)."
    },
    "entity": {
      "type": "string",
      "description": "Company / filer name (partial match)."
    },
    "form": {
      "type": "string",
      "enum": [
        "8-K",
        "10-K",
        "10-Q"
      ],
      "description": "SEC form type."
    },
    "importance": {
      "type": "string",
      "enum": [
        "high",
        "medium",
        "low"
      ],
      "description": "strategic_importance level."
    },
    "sentiment": {
      "type": "string",
      "enum": [
        "bullish",
        "neutral",
        "bearish"
      ],
      "description": "Supply chain sentiment."
    },
    "since": {
      "type": "string",
      "description": "ISO date; filings on or after."
    },
    "sector": {
      "type": "string",
      "enum": [
        "semiconductor",
        "quantum"
      ],
      "description": "Filter to a tech vertical (quantum = quantum-relevant filings). Omit for all."
    },
    "q": {
      "type": "string",
      "description": "Full-text search (ranked) across entity name, summary, materials, and companies."
    },
    "limit": {
      "type": "integer",
      "description": "limit (default 50, max 200)"
    },
    "offset": {
      "type": "integer",
      "description": "offset (default 0)"
    }
  }
}
🟢search_restricted_entities(name, country, list_name, q, limit, ...)

US Consolidated Screening List. Use for supplier / counterparty due diligence against export-control and sanctions lists.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "description": "Entity name or alias (partial match)."
    },
    "country": {
      "type": "string",
      "description": "ISO-2 country code (e.g. CN, RU, IR)."
    },
    "list_name": {
      "type": "string",
      "description": "Source list fragment, e.g. \"Entity List\", \"SDN\", \"Military End User\"."
    },
    "q": {
      "type": "string",
      "description": "Full-text search across name, aliases, and addresses."
    },
    "limit": {
      "type": "integer",
      "description": "limit (default 50, max 200)"
    },
    "offset": {
      "type": "integer",
      "description": "offset (default 0)"
    }
  }
}
🟢get_trade_flows(material, reporter, hs_code, period, min_value, ...)

UN Comtrade annual export volumes by country and HS code for semiconductor-critical materials.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "material": {
      "type": "string",
      "description": "Material name (synonym-expanded), e.g. Gallium, Cobalt, Lithium."
    },
    "reporter": {
      "type": "string",
      "description": "Exporting country name (partial match), e.g. China, Chile, Germany."
    },
    "hs_code": {
      "type": "string",
      "description": "HS-6 commodity code, e.g. 280491 for gallium."
    },
    "period": {
      "type": "string",
      "description": "Year, e.g. \"2022\"."
    },
    "min_value": {
      "type": "number",
      "description": "Minimum trade value in USD."
    },
    "limit": {
      "type": "integer",
      "description": "limit (default 100, max 500)"
    },
    "offset": {
      "type": "integer",
      "description": "offset (default 0)"
    }
  }
}
🟢get_quantum_funding(recipient, agency, award_type, year, since, ...)

US federal contracts and grants for quantum technology (DOE, NSF, DARPA/DoD, and others), from USAspending.gov. Shows which organizations receive quantum-related federal money, how much, and from which agency. Use to track the quantum supply chain and policy push downstream of the 2026 quantum executive orders.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "recipient": {
      "type": "string",
      "description": "Recipient/organization name (partial match), e.g. IonQ, Rigetti, a university."
    },
    "agency": {
      "type": "string",
      "description": "Awarding agency or sub-agency (partial match), e.g. Energy, NSF, Defense, DARPA."
    },
    "award_type": {
      "type": "string",
      "enum": [
        "contract",
        "grant"
      ],
      "description": "Award type."
    },
    "year": {
      "type": "string",
      "description": "Fiscal/action year, e.g. \"2025\"."
    },
    "since": {
      "type": "string",
      "description": "ISO date; awards on or after this action date."
    },
    "min_amount": {
      "type": "number",
      "description": "Minimum award amount in USD."
    },
    "q": {
      "type": "string",
      "description": "Full-text search (ranked) across recipient, description, and agency."
    },
    "limit": {
      "type": "integer",
      "description": "limit (default 50, max 200)"
    },
    "offset": {
      "type": "integer",
      "description": "offset (default 0)"
    }
  }
}

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