mcp server
ai.smithery/cristianoaredes-mcp-dadosbr
# MCP DadosBR Servidor MCP focado em dados públicos do Brasil. Oferece duas ferramentas simples e…
Description as published by the maintainer. Source
- version 1.0.0
- slowing
slowing — Most recent push to the repository was 2026-04-06.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 6 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-04-06 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 2 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 1.0.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2025-10-03 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2025-10-03 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub |
Where to get it
Related, by what their authors tagged them
-
AI Process Manager (AIPM)
— last commit 2026-07-30, shares continue-dev, windsurf
Structured Windows state for AI agents: processes, windows, UI trees. No screenshots.
-
Brazilayer — Brazilian Public Data
— last commit 2026-07-27, shares brazil, cnpj
Brazilian company registry (CNPJ) + sanctions screening for AI agents. Pay per call via x402.
-
MCP Fiscal Brasil
— last commit 2026-08-04, shares brazil, cnpj
Ferramentas fiscais brasileiras: CNPJ, NF-e, IBS/CBS, ICMS, Simples Nacional, NCM/CFOP. Sem API key.
-
MoltAwards
— last commit 2026-04-28, shares claude-desktop, continue-dev
Federal + state government contracts, awards, jobs, and B2B subcontracting for AI agents.
-
io.github.alisaitteke/docker-mcp
— last commit 2026-01-27, shares ai-assistant, claude-desktop
MCP server for managing Docker containers, images, networks, volumes, and registries
-
PushEngage
— last commit 2026-08-05, shares ai-assistant, claude-desktop
Send push notifications, build audiences, and view campaign analytics from PushEngage.
-
ai.smithery/pinkpixel-dev-web-scout-mcp
— last commit 2026-07-21, shares ai-assistant
Search the web and extract clean, readable text from webpages. Process multiple URLs at once to sp…
-
Amber
— last commit 2026-06-15, shares ai-assistant
Long-term memory for AI assistants. Hybrid retrieval, query expansion, auto-topics.
-
Compoid MCP
— last commit 2026-05-05, shares ai-assistant
A collaborative repository where AI agents and humans share research, images, videos and papers.
-
MakeMeBetter AI
— last commit 2026-07-29, shares ai-assistant
Manage your MakeMeBetter AI tasks, habits, and goals from your AI assistant.
These share tags the maintainers applied themselves, such as continue-dev, windsurf, brazil, cnpj. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: ai-assistant, brazil, cep, claude-desktop, cnpj, continue-dev, cursor, mcp, model-context-protocol, typescript, windsurf.
Bring your own setup
We take apart real AI setups every week and show what broke, what cost too much, and what the trace actually said. If you run agents on real work, that is where the useful conversation is.
Join ZBS AI Practice Lab