MCP MeasureMCP Measure

index observed

semi-data

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

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
90%
Naming quality
100%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~1,533Tokens (tool definitions)
~2.5 KBTypical response size
Moderate attention impact (1.20% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

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

Remote endpoints

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

What it can do

Tool inventory

Tools (6)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢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.

Input 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.

Input 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.

Input 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.

Input 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.

Input 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.

Input 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)"
    }
  }
}

Community

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Evidence

Recent observations

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