Onça Setorial is answering right now. Last checked 1 min ago. It exposes 8 tools.
Brazilian regulator data: CVM filings, dam safety, airline punctuality, rules, enforcement
The linked repository no longer exists on GitHub — it was deleted or made private.
Uptime history
33 hours of history
33 hours agonow
100.0%
Uptime 24h
92 of 92 checks
8
Tools
read from the server
966 ms
Response time
average over 24h
open, no key
Access
streamable-http
This one has been quiet for a while
Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.
Connect this server
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 1 min ago.
run in your terminal
claude mcp add onca-setorial --transport http https://tamandua.onssa.org/mcpSettings → Connectors → Add custom connector, then paste this address
https://tamandua.onssa.org/mcp~/.codex/config.toml
[mcp_servers.onca-setorial]
url = "https://tamandua.onssa.org/mcp".cursor/mcp.json
{
"mcpServers": {
"onca-setorial": {
"url": "https://tamandua.onssa.org/mcp"
}
}
}.vscode/mcp.json
{
"servers": {
"onca-setorial": {
"type": "http",
"url": "https://tamandua.onssa.org/mcp"
}
}
}Available tools 8
Read directly from the server with tools/list, grouped by what they act on.
If a tool disappears, we record the date.
airline
airline_punctuality
Per airline, from ANAC's latest monthly VRA file: scheduled flights, cancellations and departures more than 15 minutes late, with rates. Use for 'which Brazilian airline cancels or delays most'. Needs the aviation sector licensed. Deterministic: computed from official datasets, no model in the loop.
base
base_rates
How long regulatory processes take and how they end, measured over each regulator's own records (e.g. ANEEL fine → appeal → decision; ANVISA public consultation → published rule): N, median, quartiles and range per figure, with method and limits. Figures are estimativa; a figure below the minimum N is withheld and has no number. Use for 'how long until ANVISA turns a consultation into a rule'. Deterministic: computed from official datasets, no model in the loop.
company
company_financials
Revenue, net income, assets, equity, EBIT, D&A for a Brazilian listed company in your licensed sectors, from its own CVM filings: the annual DFP and the latest quarterly ITR (year-to-date). Derived values (EBITDA, net debt, margins, leverage) are returned separately and labelled estimativa. A company with no CVM filing says so (closed capital or IR-page only) instead of returning numbers. Use for 'what was X's revenue / net income / debt'. Deterministic: computed from official datasets, no model in the loop.
consultation
consultation_outcome
For one ANVISA consulta pública: its opening date and contribution window, whether a norm resulted (only links ANVISA itself publishes; an older norm the consultation revises is shown as prior, not as its result), the norm and its date, days elapsed, and the base rate for context (consultation → norm median days and the share of consultations that produce a norm; estimativa). Use for 'did CP 1.234/2023 become a rule, and how long did it take'. Needs the pharmaceutical sector licensed. Deterministic: computed from official datasets, no model in the loop.
dam
dam_safety
Tailings-dam safety per mining company from ANM's SIGBM register: number of dams, dams at an emergency level or at alert, high risk category (CRI) and high associated potential damage (DPA), and the worst emergency level. Use for 'which mining companies have dams in emergency'. Worst first. Needs the mining sector licensed. Deterministic: computed from official datasets, no model in the loop.
enforcement
enforcement_process
The dated steps of ONE sanctioning process from the regulator's own records: an ANEEL auto de infração (issued, received, appeal, decisions, closure), an ANS penalty case (1st and 2nd instance, payment, archiving) or an ANATEL PADO process (phases, dated when first observed). Returns the regulator, the source url, the company only when the record binds it by CNPJ to a tracked company, and each span's days next to that regulator's published base rate (median, quartiles, N; estimativa). Use for 'where is auto 0001/2019-AGEPAN-SFE and is it slow'. Needs the regulator's sector licensed (ANEEL energy, ANS health, ANATEL telecom). Deterministic: computed from official datasets, no model in the loop.
regulatory
regulatory_events
For one of your licensed sectors: public consultations and other regulatory deadlines falling due in the next `days`, then the acts published in the current window (Diário Oficial, the sector regulator, Câmara/Senado), each with its lifecycle stage and a link to the act. Use for 'which regulatory deadlines are coming up in energy'. Deterministic: computed from official datasets, no model in the loop.
rule
rule_enforcement
For one ANVISA rule (RDC or IN): its publication date and source, the ANVISA sanctions in the Diário Oficial that cite it as breached (date, act url, and the company only when the act names exactly one company by CNPJ), their count, the lag from publication to the first citing sanction when observable, and, counted apart, refusals of companies' own requests that cite the rule as grounds (these are NOT sanctions). Each act counts once. Use for 'who was sanctioned under RDC 47/2013 and since when'. Needs the pharmaceutical sector licensed. Deterministic: computed from official datasets, no model in the loop.
Endpoints
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://tamandua.onssa.org/mcp | streamable-http | answering | 467 ms | 1 min ago |
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Onça Setorial — questions
Answers built from our own checks of this server.
What can Onça Setorial do?
It exposes 8 tools, read directly from the server on our last check. Among them: airline_punctuality, base_rates, company_financials, consultation_outcome, dam_safety, enforcement_process and 2 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README.
How MCP servers expose tools in the first place →
Is Onça Setorial working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 966 ms. The bar chart above shows every period we have measured.
Is Onça Setorial still maintained?
The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
How do I connect Onça Setorial?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Onça Setorial need an API key?
No. Onça Setorial completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 8 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Onça Setorial?
It answers our handshake in 966 ms on average, which is faster than 7% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.