finance-foundation

Open financial reference data: companies with LEI/ISIN/FIGI, markets, funds, graph, live series.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
96%
Vollständigkeit des Schemas
80%
Qualität der Benennung
86%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (1)

  • LOWTool 'resolve_identifier' description lacks action verbin resolve_identifier

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

Kontextkosten

~902Tokens (Tool-Definitionen)
~548 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.70% 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": {
    "finance-foundation": {
      "url": "https://finance.foundation/mcp"
    }
  }
}

Remote-Endpunkte

https://finance.foundation/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (7)

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🟢lookup(entity_type, id)

Get one financial entity by type and id (slug). Returns the full structured record including external identifiers (LEI/ISIN/FIGI) for companies. Data is seed-0.7 · marketcap-1 · 2026-08-30 — approximate reference values from public sources, versioned, NOT real-time (live_data series refresh every 3 hours). License CC BY 4.0. Correct uses: entity resolution, classification, relationships, jurisdiction/venue context. For live quotes or legal text go to the primary sources each entity links.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "entity_type": {
      "type": "string",
      "enum": [
        "companies",
        "markets",
        "assets",
        "funds",
        "banks",
        "countries",
        "research"
      ]
    },
    "id": {
      "type": "string",
      "description": "Entity slug, e.g. 'apple', 'nasdaq', 'bitcoin', 'united-states'"
    }
  },
  "required": [
    "entity_type",
    "id"
  ]
}
🟢list(entity_type, q, sector, country, type, ...)

List entities of one type, optionally filtered. Companies filter by sector/country/q; assets by type (Crypto|Index|Bond|Currency|Commodity). Returns up to `limit` records (default 25).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "entity_type": {
      "type": "string",
      "enum": [
        "companies",
        "markets",
        "assets",
        "funds",
        "banks",
        "countries",
        "research"
      ]
    },
    "q": {
      "type": "string",
      "description": "Substring filter across all fields"
    },
    "sector": {
      "type": "string"
    },
    "country": {
      "type": "string"
    },
    "type": {
      "type": "string"
    },
    "limit": {
      "type": "integer",
      "default": 25
    }
  },
  "required": [
    "entity_type"
  ]
}
🟢search(query)

Free-text search across all entity types (companies, markets, assets, funds, banks, countries, research). Returns grouped matches with links.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string"
    }
  },
  "required": [
    "query"
  ]
}
⚪resolve_identifier(query)

Resolve a ticker, LEI, ISIN, FIGI, MIC code or name to entities. The entity-resolution tool: 'US0378331005' → Apple with all identifiers. Matches are ranked (exact identifier > ticker > name).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "e.g. 'AAPL', 'HWUPKR0MPOU8FGXBT394', 'US0378331005', 'BBG001S5N8V8', 'XNAS'"
    }
  },
  "required": [
    "query"
  ]
}
⚪graph(entity_type, id)

Knowledge-graph neighborhood of an entity: nodes and typed edges (lists_on, domiciled_in, managed_by, sector_peer…). Use to traverse from a company to its exchange, jurisdiction, funds and peers.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "entity_type": {
      "type": "string",
      "enum": [
        "companies",
        "markets",
        "assets",
        "funds",
        "banks",
        "countries"
      ]
    },
    "id": {
      "type": "string"
    }
  },
  "required": [
    "entity_type",
    "id"
  ]
}
🟢ingest_text(text)

Extract financial entities and relationships from unstructured text into Finance Foundation Schema v0.1 JSON (companies, markets, assets, funds, banks, countries, indicators + typed relationships + unresolved_identifiers). LLM-powered, validated (taxonomy, ISIN checksums, LEI/MIC formats). Read-only transform: output goes to the caller only and is NEVER added to the Finance Foundation dataset. Limit 6000 chars.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string",
      "description": "Unstructured financial text (article, filing excerpt, notes), ≤6000 chars"
    }
  },
  "required": [
    "text"
  ]
}
⚪live_data

Latest reference values (refreshed every 3 hours): crypto (BTC/ETH/SOL/XRP/BNB/ADA/USDT/USDC/DAI), FX (EUR/USD, USD/JPY, GBP/USD, USD/CNY, USD/CHF, AUD/USD, USD/CAD, USD/INR, USD/BRL), ECB main refinancing rate, US 10Y Treasury yield, US CPI YoY. Each carries its source and observation date — NOT real-time ticks.

Eingabe-Schema

{
  "type": "object",
  "properties": {}
}

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