# MCP servers


Ask an AI assistant for the population of Belo Horizonte in the 2022
Census and you get a plausible number, drawn from training: maybe right,
maybe from a different census, with no source. I solved it differently —
these servers make the assistant **query the official API on the spot**.

They all speak [MCP](https://modelcontextprotocol.io) (Model Context
Protocol), the open standard that connects assistants to data sources.
They work with Claude, ChatGPT and any compatible client, and need no
installation: point the client at the address.

## What I guaranteed across the six

**Provenance on every response.** I made each figure come with its
source, the reference period, the canonical URL that reproduces the
query, the real extraction instant and the licence. It is not a
decorative footer: it is what makes the number checkable, citable and
auditable. When the server computes something — a variation, a
distribution — the result is flagged as derived, with the convention it
used.

**Verified protocol conformity.** I brought all six to 100% on
[`mcpscore`](https://pypi.org/project/mcpscore/), with a CI ratchet that
blocks regression: a change that lowers the score is not accepted.

**Open source under MIT.** The data is not — each source carries its own
licence, and I make it travel with the number.

## The servers

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### IBGE (Brazilian statistics)

**21 tools** over the IBGE APIs: geography, Census (1970–2022), economic
and social indicators, SIDRA tables, cartographic meshes, given names,
economic activity codes and health. Ranks all 5,570 municipalities in a
single call, with the full distribution instead of a top 10 that hides
the skew.

[`ibge.sidneybissoli.com`](https://ibge.sidneybissoli.com) ·
[GitHub](https://github.com/SidneyBissoli/ibge-br-mcp) ·
[npm](https://www.npmjs.com/package/ibge-br-mcp)

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### Central Bank of Brazil

**15 tools** over three BCB sources: the **SGS** time series, the
**Focus** market-expectations survey and the official **PTAX** exchange
rates. It handles the API’s limits on its own — a 15-year daily window
is sliced and merged — and compounds rather than sums the series that
already are rates of change.

[`bcb.sidneybissoli.com`](https://bcb.sidneybissoli.com) ·
[GitHub](https://github.com/SidneyBissoli/bcb-br-mcp) ·
[npm](https://www.npmjs.com/package/bcb-br-mcp)

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### Brazilian Federal Senate

**67 tools** over the Senate’s open data: senators, bills, votes,
committees, floor proceedings, the e-Cidadania participation layer and
the administrative tier (expenses, procurement, staff, budget). An
independent, read-only service, not affiliated with the Senate.

[`senado.sidneybissoli.com`](https://senado.sidneybissoli.com) ·
[GitHub](https://github.com/SidneyBissoli/senado-br-mcp-cloudflare) ·
[npm](https://www.npmjs.com/package/senado-br-mcp)

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### Medical terminologies

**31 tools** over ICD-11, LOINC, RxNorm, MeSH, ATC and the **Brazilian
CID-10** (DataSUS V2008, bundled — no network call), plus WHO’s official
ICD-10 → ICD-11 transition tables. Portuguese labels come from WHO and
NLM themselves; never from machine translation.

[`medical.sidneybissoli.com`](https://medical.sidneybissoli.com) ·
[GitHub](https://github.com/SidneyBissoli/medical-terminologies-mcp) ·
[npm](https://www.npmjs.com/package/medical-terminologies-mcp)

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### ILOSTAT (ILO)

**4 tools** over the International Labour Organization’s statistical
database: more than 1,200 indicator dataflows on labour, by country,
year, sex and age group. You search the dataflows before pulling data,
so you never have to guess an indicator code.

[`ilo.sidneybissoli.com`](https://ilo.sidneybissoli.com) ·
[GitHub](https://github.com/SidneyBissoli/ilo-mcp-server) ·
[npm](https://www.npmjs.com/package/ilo-mcp-server)

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### UNESCO UIS

**3 tools** over the UNESCO Institute for Statistics: around 5,000
indicators on education, science and R&D, culture and communication, by
country, region and year. The data release is pinned on every query, so
the same question gives the same answer tomorrow.

[`uis.sidneybissoli.com`](https://uis.sidneybissoli.com) ·
[GitHub](https://github.com/SidneyBissoli/uis-mcp-server)

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## How to use them

In any MCP client with HTTP support, point it at the server address
followed by `/mcp`. For the IBGE one:

    https://ibge.sidneybissoli.com/mcp

No installation, no sign-up, no API key. For local use, the five
published to npm run with `npx` — for example, `npx -y ibge-br-mcp`.

Then just ask:

> *“What was the population of Belo Horizonte in the 2022 Census?”*
>
> *“What does the market expect for Brazilian inflation in 2027?”*
>
> *“How did each senator vote on the last recorded floor vote?”*