Dados B3
FreeNot checkedMCP server providing fundamentalist data for 402 Brazilian listed companies (B3) from 2010 to today, with public methodology, point-in-time multiples, and no lo
About
MCP server providing fundamentalist data for 402 Brazilian listed companies (B3) from 2010 to today, with public methodology, point-in-time multiples, and no look-ahead bias.
README
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 after 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
| Tool | What it does | Free? |
|---|---|---|
listar_empresas |
Every covered company (name, tax ID, ticker), banks and insurers included | yes |
indicadores_anuais |
ROE, ROIC, margins, growth, net debt/EBITDA — annual series from 2010 | WEGE3 yes; others need a key |
multiplos |
P/E, P/B, EV/EBITDA point-in-time; trailing P/E | WEGE3 yes; others need a key |
fatos_contabeis |
Standardised accounts carrying the CVM code each figure came from | WEGE3 yes; others need a key |
dividendos |
Cash distributions, annual summary and 12-month dividend yield | WEGE3 yes; others need a key |
scores |
Piotroski F-Score with all nine criteria shown, plus the Graham test | WEGE3 yes; others need a key |
reapresentacoes |
Restated filings — the original and the revised figure side by side | WEGE3 yes; others need a key |
screener |
Filters the whole market by indicator ranges | key required |
dicionario |
Formula, CVM accounts and earnings base of each indicator, as JSON | yes |
metodologia |
The published methodology pages, as text | yes |
saude |
Current coverage and last ingestion | yes |
WEGE3 and the whole methodology are open, no key needed. For other
companies, create a free key (200 queries/day, no card) or subscribe to
Pro at https://dadosb3.com, and pass it in the chave_api argument or the
DADOS_B3_API_KEY environment variable.
The company count is deliberately not written here: the universe grows whenever
the CVM publishes, and a number frozen in a README ages without anyone
noticing. Call saude for today's figure.
Banks and insurers
Financial institutions file under a different chart of accounts — there is no EBIT and no sales revenue. The connector classifies them by their actual chart of accounts and returns the indicators that mean something for them — ROE, margin, growth, P/E, P/B, dividends — and deliberately does not publish ROIC, EBITDA or EV/EBITDA for them, because those do not apply. Examples: Itaú, Bradesco, Banco do Brasil, BB Seguridade, IRB.
Why this one
A methodology published rather than described, invariant tests gating every release, multiples with no future information leaking in, and restatements kept on the record — when a company republishes a filing, both versions stay side by side. An honest comparison, including where competitors are better: https://dadosb3.com/comparativo
Licence
MIT (this connector). The underlying data is public (CVM/B3); the service adds standardisation, methodology and tests.
Dados B3 — servidor MCP (bolsa brasileira, fundamentos auditáveis)
Conector MCP que dá ao seu agente de IA (Claude, ChatGPT, Cursor e outros) acesso a dados fundamentalistas das companhias abertas brasileiras (B3) — inclusive bancos e seguradoras —, de 2010 até hoje, com metodologia 100% pública: ROE, ROIC, margens, crescimento, dívida líquida/EBITDA, múltiplos ponto-no-tempo (P/L, P/VP, EV/EBITDA com o preço do 1º pregão após a publicação real do balanço — sem look-ahead, próprio para backtest), dividendos e dividend yield, scores prontos (Piotroski F-Score e Graham) e histórico de reapresentações de balanço.
Fonte: CVM (dados abertos, ODbL) e B3 (COTAHIST). Cada número carrega a conta CVM de origem; nada é publicado sem uma bateria de testes de invariantes passando (o balanço fecha, a DRE fecha, o preço nunca antecede a publicação).
Produto e planos: https://dadosb3.com
Uso 1 — remoto (nada para instalar, recomendado)
Adicione este conector remoto ao seu cliente de IA:
https://dadosb3.com/mcp/
No Claude: Configurações → Conectores → adicionar conector personalizado → cole a URL.
Uso 2 — local (stdio)
pip install -r requirements.txt
python server.py
Uso 3 — imagem Docker (um comando, sem Python local)
docker run -i --rm -e DADOS_B3_API_KEY=sua_chave_opcional ghcr.io/val7h/dados-b3-mcp:latest
A imagem é publicada a cada push na main. Ela existe por dois motivos: dar um
caminho de instalação de um comando só, e permitir que diretórios de MCP rodem
o servidor para avaliá-lo.
Ferramentas
| Ferramenta | O que faz | Grátis? |
|---|---|---|
listar_empresas |
Todas as companhias cobertas (nome, CNPJ, ticker), incl. bancos e seguradoras | sim |
indicadores_anuais |
ROE, ROIC, margens, crescimento, DL/EBITDA — série anual desde 2010 | WEGE3 sim; demais com chave |
multiplos |
P/L, P/VP, EV/EBITDA ponto-no-tempo; P/L TTM | WEGE3 sim; demais com chave |
fatos_contabeis |
Contas padronizadas com a conta CVM de origem de cada número | WEGE3 sim; demais com chave |
dividendos |
Proventos, resumo anual e dividend yield de 12 meses | WEGE3 sim; demais com chave |
scores |
Piotroski F-Score com os nove critérios abertos, e o critério de Graham | WEGE3 sim; demais com chave |
reapresentacoes |
Balanços republicados — versão original e revisada lado a lado | WEGE3 sim; demais com chave |
screener |
Filtra o mercado inteiro por faixas de indicadores | exige chave |
dicionario |
Fórmula, contas CVM e base do lucro de cada indicador, em JSON | sim |
metodologia |
As páginas de metodologia publicadas, em texto | sim |
saude |
Cobertura atual e última ingestão | sim |
A empresa WEGE3 e a metodologia são abertas para degustação, sem chave.
Para as demais, crie uma chave grátis (200 consultas/dia, sem cartão) ou
assine o Pro em https://dadosb3.com e passe a chave no argumento
chave_api (ou na variável DADOS_B3_API_KEY).
A contagem de empresas não fica escrita aqui de propósito: o universo cresce
quando a CVM publica, e um número congelado num README envelheceria sem
ninguém ver. Para o número de hoje, chame saude.
Bancos e seguradoras
Instituições financeiras têm plano de contas próprio (não há EBIT nem receita de venda). O conector as classifica pelo plano de contas real e entrega os indicadores que fazem sentido — ROE, margem, crescimento, P/L, P/VP, dividendos — e não publica ROIC/EBITDA/EV-EBITDA para elas (não se aplicam). Ex.: Itaú, Bradesco, Banco do Brasil, BB Seguridade, IRB.
Por que este e não outro
Metodologia 100% pública, testes de invariantes antes de cada publicação, múltiplos sem vazamento de informação futura, e histórico de reapresentações registrado. Comparativo honesto, inclusive onde os concorrentes são melhores: https://dadosb3.com/comparativo
Licença
MIT (este conector). Os dados são públicos (CVM/B3); o serviço adiciona padronização, metodologia e testes.
Installing Dados B3
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/Val7h/dados-b3-mcpFAQ
Is Dados B3 MCP free?
Yes, Dados B3 MCP is free — one-click install via Unyly at no cost.
Does Dados B3 need an API key?
No, Dados B3 runs without API keys or environment variables.
Is Dados B3 hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Dados B3 in Claude Desktop, Claude Code or Cursor?
Open Dados B3 on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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