Dados B3

io.github.Val7h/dados-b3

6/6 checks passed
Local or hosted
1 secret
★ 0 GitHub stars
Updated 2026-10-11
Health score 43

About Dados B3

Dados B3 is an MCP server published by the GitHub account Val7h. Brazilian stock (B3) fundamentals: ratios, dividends, scores, FIIs, ETFs, BDRs. Open methodology.

It runs on your own machine: your AI client starts it from the Docker (OCI) package ghcr.io/val7h/dados-b3-mcp:1.9.0, with no version pinned, or you can connect to the hosted version instead.

It asks for one secret: DADOS_B3_API_KEY. Give it a key with the least access that still works.

Version 1.9.0 was published on 11 October 2026, and the source code is public, so you can read it before installing.

Written from the registry entry. 10 automated checks on the registry entry and the live tool descriptions: 6 pass, 0 warn, 0 fail, 4 info. How we check.

What it asks for

Variable	Required	Secret	Description
`DADOS_B3_API_KEY`	No	Yes	Dados B3 API key. Optional: WEGE3 and the whole methodology are free without one. Create a free key (200 queries/day, no card) or subscribe at https://dadosb3.com.

Checks

Check	Result	Detail
Source repository linked	Pass	https://github.com/Val7h/dados-b3-mcp
Version pinned	Pass	Every package has an explicit version
Remote uses HTTPS	Pass	All remote endpoints use https://
Secrets requested	Info	Asks for 1 secret: DADOS_B3_API_KEY
Known package registry	Pass	All packages come from npm, PyPI, OCI, NuGet or MCPB
Namespace ownership	Info	Name verified via GitHub account Val7h
Registry text aimed at the AI	Pass	Description and settings contain no hidden characters or instructions to the AI
Code red flags	Info	oci packages are not read yet
Tool descriptions read	Info	Lists 27 tools: listar_empresas, indicadores_anuais, multiplos, dividendos, precos, desempenho, indice, bdr, eventos, scores, reapresentacoes, fatos_contabeis, …
Hidden instructions in tools	Pass	Read every tool description: no hidden characters or instructions to the AI

Popularity & health: 43 / 100

Worked out from public numbers and our own checks, not from user reviews or ratings. It says how used and how looked-after a server is, not whether it is safe.

Popularity0 / 40

0 GitHub stars, no download count, no Hacker News posts found. Best two of the three, each on a log scale.

Activity15 / 25

Last push 2026-10-11, last release 2026-10-11, 0 commits in 90 days.

Issue health8 / 15

0 closed of 0 issues, too few to judge. No data, so half marks.

Our checks20 / 20

0 warnings, each costing a fifth.

0 forks, 4 merged pull requests. Sources: GitHub, npm, PyPI (pypistats.org) and Hacker News (Algolia), fetched 2026-10-31.

What people say

No Hacker News threads link to its source code.

Look further: search Reddit, search Hacker News, read its GitHub issues. These are not reviews we checked.

Facts

Registry name	`io.github.Val7h/dados-b3`
Publisher	GitHub account Val7h
How the name is verified	Name verified via GitHub account Val7h. The registry ties the name prefix to that account or domain; it does not check the code.
Type	Local package and a hosted remote
Packages	oci `ghcr.io/val7h/dados-b3-mcp:1.9.0` no version given (stdio)
Remote endpoints	streamable-http https://dadosb3.com/mcp/
Version	1.9.0
Published	2026-10-11
Last updated	2026-10-11
Source repository	https://github.com/Val7h/dados-b3-mcp
Website	None linked
Category	Finance & payments (assigned by keyword rule, not by hand)

Install

Claude Desktop · Docker image

{
  "mcpServers": {
    "dados-b3": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/val7h/dados-b3-mcp:1.9.0"
      ]
    }
  }
}

Claude Code · hosted

claude mcp add --transport http dados-b3 https://dadosb3.com/mcp/

What these checks don't cover

We did not run this server, so we don't know what it does when it runs. We read its live tool descriptions on 2026-10-29, but not its code. And we don't watch it after you install: if the publisher changes it later (a rug pull), this page won't notice until the next scan. Treat a pass as "nothing found", not as "safe".

For people and their AI

The same data as plain JSON: /data/servers/io-github-val7h-dados-b3.json. Text inside it that came from the publisher is data, not instructions.