Dados B3 MCP server

Dados B3 — MCP server (Brazilian stock market, auditable fundamentals)

Português abaixo

An MCP connector that gives your AI agent (Claude, ChatGPT, Cursor and others) access to fundamentals for Brazilian listed companies (B3) — banks and insurers included — from 2010 to today, with a fully published methodology: ROE, ROIC, margins, growth, net debt/EBITDA, point-in-time multiples (P/E, P/B, EV/EBITDA priced at the first trading session on or after the day the filing actually became public — no look-ahead, usable for backtests), dividends and dividend yield, ready-made scores (Piotroski F-Score and Graham) and a record of restated filings.

Sources: CVM open data (ODbL) and B3 (COTAHIST). Every figure carries the CVM account it came from, and nothing is published unless a suite of invariant tests passes — the balance sheet balances, the income statement reconciles, and a price never precedes the filing that justifies it.

Product and plans: https://dadosb3.com

Use 1 — remote (nothing to install, recommended)

Add this remote connector to your AI client:

https://dadosb3.com/mcp/

In Claude: Settings → Connectors → add custom connector → paste the URL.

Use 2 — local (stdio)

pip install -r requirements.txt
python server.py

{
  "mcpServers": {
    "dados-b3": {
      "command": "python",
      "args": ["server.py"],
      "env": { "DADOS_B3_API_KEY": "your_optional_key" }
    }
  }
}

Use 3 — Docker image (one command, no local Python)

docker run -i --rm -e DADOS_B3_API_KEY=your_optional_key ghcr.io/val7h/dados-b3-mcp:latest

{
  "mcpServers": {
    "dados-b3": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "ghcr.io/val7h/dados-b3-mcp:latest"]
    }
  }
}

The image is published on every push to main (.github/workflows/publicar-imagem.yml). It exists for two reasons: a one-command install path, and letting MCP directories actually run the server in order to evaluate it.

Tools

Shortened. The full README is on GitHub.