finance-foundation

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

Should I use this

Quality & Safety

A
Description quality
96%
Schema completeness
80%
Naming quality
86%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (1)

  • LOWTool 'resolve_identifier' description lacks action verbin resolve_identifier

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~902Tokens (tool definitions)
~548 BTypical response size
Moderate attention impact (0.70% 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": {
    "finance-foundation": {
      "url": "https://finance.foundation/mcp"
    }
  }
}

Remote endpoints

https://finance.foundation/mcpstreamable-http

What it can do

Tool inventory

Tools (7)

🟒 Read-only🟑 WriteπŸ”΄ Deleteβšͺ Unknown
🟒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 Β· marketcap-1 Β· 2026-08-30 β€” 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.

Input 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).

Input 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.

Input Schema

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

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

Input Schema

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

Input 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.

Input Schema

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string",
      "description": "Unstructured financial text (article, filing excerpt, notes), ≀6000 chars"
    }
  },
  "required": [
    "text"
  ]
}
βšͺlive_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 β€” NOT real-time ticks.

Input Schema

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

Community

Rate this Server

Evidence

Recent observations

verifiedversion not recorded7 tools
verifiedversion not recorded7 tools
verifiedversion not recorded7 tools