MCP server

Finance Foundation Official

foundation.finance/finance-foundation

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Website

At a glance

Type

MCP server

Publisher

finance.foundation (verified by the MCP Registry)

Status

Working at last check

Tools

7

Token cost

About 1,026 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http finance-foundation https://finance.foundation/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.finance-foundation]
url = "https://finance.foundation/mcp"

Gemini CLI

{"mcpServers":{"finance-foundation":{"httpUrl":"https://finance.foundation/mcp"}}}

Cursor

{"mcpServers":{"finance-foundation":{"url":"https://finance.foundation/mcp"}}}

VS Code

{"servers":{"finance-foundation":{"type":"http","url":"https://finance.foundation/mcp"}}}

Antigravity

agy mcp add finance-foundation https://finance.foundation/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"finance-foundation","server_url":"https://finance.foundation/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"finance-foundation","server_url":"https://finance.foundation/mcp"}

Tools

• graph ~124 tokens
  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.
• ingest_text ~182 tokens
  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
• list ~170 tokens
  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).
• live_data ~115 tokens
  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 re
• lookup ~235 tokens
  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
• resolve_identifier ~122 tokens
  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).
• search ~78 tokens
  Free-text search across all entity types (companies, markets, assets, funds, banks, countries, research). Returns grouped matches with links.

Browse

• Legal research
• Calling other AI models
• Stocks and markets
• Crypto and blockchains

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