Mirobody
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
제작자가 쓴 설명(영어 원문)
IBGE: geography, census, economy and health from the official APIs, with provenance. 23 tools.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://ibge.sidneybissoli.com/mcpClaude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"ibge-br": {
"command": "npx",
"args": [
"-y",
"ibge-br-mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add --transport http ibge-br https://ibge.sidneybissoli.com/mcpclaude mcp add ibge-br -- npx -y ibge-br-mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"ibge-br": {
"url": "https://ibge.sidneybissoli.com/mcp"
}
}
}프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"ibge-br": {
"command": "npx",
"args": [
"-y",
"ibge-br-mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"ibge-br": {
"type": "http",
"url": "https://ibge.sidneybissoli.com/mcp"
}
}
}프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"ibge-br": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"ibge-br-mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://ibge.sidneybissoli.com/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
도구 이름과 설명은 서버가 2026년 11월 7일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.
ibge_estadosLists all Brazilian states from IBGE. Features: - Lists all 27 states (26 states + Federal District) - Filter by region (North, Northeast, Southeast, South, Central-West) - Sort by ID, name, or abbreviation Examples: - List all states: (no parameters) - Northeast states: regiao="
ibge_municipiosLists Brazilian municipalities from IBGE. Features: - List municipalities by state (using state abbreviation) - List all municipalities in Brazil (5,570 municipalities) - Search by municipality name - Returns 7-digit IBGE code Examples: - São Paulo municipalities: uf="SP" - Searc
ibge_localidadeReturns details of a specific locality by IBGE code. Features: - State information (2-digit code) - Municipality information (7-digit code) - District information (9-digit code) - Complete hierarchy (region, mesoregion, microregion) Examples: - São Paulo state: codigo=35 - São Pa
ibge_sidraQueries SIDRA tables (IBGE's Automatic Recovery System). SIDRA contains data from IBGE surveys like Census, PNAD, GDP, etc. Common tables: - 6579: Population estimates (annual) - 9514: Census 2022 population - 200: Census population (1970-2010) - 4714: Population, territorial are
ibge_nomesQueries name frequency and rankings in Brazil (IBGE). Features: 1. **Name frequency** (tipo='frequencia'): - Birth frequency by decade - Multiple names separated by comma - Filter by sex and locality 2. **Name ranking** (tipo='ranking'): - Most popular names - Filter by decade, s
ibge_noticiasSearches and lists already-published IBGE news articles and press releases. Use this to find recent IBGE publications or announcements about a survey or topic — when an indicator was released, or news mentioning a term like "censo". Results are sorted newest-first; with no parame
ibge_sidra_tabelasLists and searches available SIDRA tables. Features: - List all SIDRA tables (aggregates) - Search by table name: every word must match (AND), accents and case ignored, and everyday Portuguese is resolved to the IBGE's own wording (renda→rendimento, desemprego→desocupação, cidade
ibge_sidra_metadadosReturns metadata for a specific SIDRA table. Features: - General info (name, survey, subject, periodicity) - Available territorial levels - Variable list with units - Classifications and categories - Available periods Use this tool to understand table structure BEFORE querying da
ibge_malhasGets geographic meshes (maps) from IBGE in GeoJSON, TopoJSON, or SVG format. Features: - Meshes for Brazil, regions, states, municipalities - Different resolution levels (internal divisions) - Different quality levels - Formats: GeoJSON (data), TopoJSON (compact), SVG (image) Loc
ibge_pesquisasLists available IBGE surveys and their tables. Features: - List all IBGE surveys (Census, PNAD, GDP, etc.) - Search by name or code - Show details and tables of a specific survey - Categorize surveys by theme Main surveys: - **Census**: Demographic, Agricultural, MUNIC - **PNAD C
ibge_censoQueries IBGE Demographic Census data (1970-2022). Simplified tool to access census data without knowing SIDRA table codes. Available years: 1970, 1980, 1991, 2000, 2010, 2022 Available themes: - populacao: Resident population - alfabetizacao: Literacy rate - domicilios: Housing c
ibge_indicadoresQueries IBGE economic and social indicators. Available indicators: **Economic:** - pib: quarterly GDP at current prices, R$ million (Brazil only) - pib_variacao: quarterly GDP volume change, % over the same quarter of the previous year (Brazil only) - pib_per_capita: annual GDP p
ibge_cnaeQueries CNAE (National Classification of Economic Activities) from IBGE. CNAE is the official classification for economic activities in Brazil. Hierarchical structure: - Section (letter A-U): 21 main categories - Division (2 digits): 87 divisions - Group (3 digits): 285 groups -
ibge_geocodigoDecodes IBGE codes or searches codes by locality name. Features: - Decode region, state, municipality, or district codes - Search IBGE code by name - Show complete geographic hierarchy - Return related codes Code structure: - 1 digit: Region (1=North, 2=Northeast, 3=Southeast, 4=
ibge_calendarioQueries IBGE release and collection calendar. Features: - List upcoming survey releases - Filter by product (IPCA, PNAD, GDP, etc.) - Filter by period - Distinguish releases from field collections Event types: - **Release**: Publication of survey results - **Collection**: Field r
ibge_compararCompares data between localities (municipalities or states). Available indicators: - populacao: Current population estimate - populacao_censo: Census 2022 population - pib: GDP per capita - area: Territorial area (km²) - densidade: Population density (inhab/km²) - alfabetizacao:
ibge_malhas_temaLists what a THEMATIC territorial recorte of Brazil contains: how many features, with which codes and names, and the URL to download its geometry. Available recortes: - biomas: the six continental biomes - amazonia_legal: Legal Amazon boundary - semiarido: semi-arid area - costei
ibge_vizinhosFinds nearby/neighboring municipalities. Features: - Search by IBGE code (7 digits) or municipality name - Returns municipalities in the same mesoregion (proximity approximation) - Optionally includes population data Note: Uses mesoregion as geographic proximity proxy. For exact
ibge_datasaudeQueries Brazil health indicators, served through IBGE's SIDRA (some originally produced by DataSUS, e.g. mortality and births). Mortality and Birth: - mortalidade_infantil: Infant mortality rate - nascidos_vivos: Live births by location - obitos: Deaths by residence Demographic I
ibge_paisesQueries international country data via IBGE. Features: - List all countries (following UN M49 methodology) - Country details (area, languages, currency, location) with the latest published value of country indicators — by default population, GDP, GDP per capita, HDI and life expe
ibge_cidadesQueries municipal indicators from IBGE (similar to Cidades@ portal). Features: - General overview of a municipality (population, HDI, GDP, etc.) - Query specific indicators - Historical indicator data over years - List available surveys and indicators Available indicators: popula
searchSearches the IBGE (Brazilian official statistics: SIDRA tables, municipalities, known indicators) catalog and returns up to 10 matching documents as { id, title, url }, ordered by relevance (an empty list means nothing matched). This tool exists for the OpenAI Deep Research contr
fetchReturns the full document for an id obtained from `search`, as { id, title, text, url, metadata }: `text` is the readable content (Markdown) and `url` the canonical public page to cite. Companion of `search` in the OpenAI Deep Research contract, over the IBGE (Brazilian official
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 9일 점검
레지스트리 이름이 GitHub 계정 SidneyBissoli 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
210ms 만에 응답(HTTP 200)
로그인 필요 없음
도구 설명 23개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 3개 중 3개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(5.11.0)은 12일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Mirobody, FHIR MCP Server, Google Health MCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
MCP server providing seamless access to FHIR APIs for AI tools and healthcare applications
Privacy-first unofficial Google Health API v4 MCP server for health, sleep, activity, HR agents
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Live, exact Brazilian public data for your AI assistant — with provenance, not guesswork.
Ask an LLM _"what was Belo Horizonte's population in the 2022 Census?"_ and you get a plausible number from its training data: maybe right, maybe outdated, with no source. ibge-br-mcp instead has your assistant query the official IBGE APIs in real time — returning the exact figure together with the table and period it came from.
🇧🇷 Leia em Português
This server implements the Model Context Protocol (MCP) to give AI assistants live, structured access to Brazil's public geographic, demographic, economic, and health data — sourced from the IBGE APIs (including health indicators served through IBGE's SIDRA system).
Ask your assistant, in English or Portuguese:
ibge_cidades / ibge_censoibge_municipiosibge_compararThe answers come live from the official IBGE APIs — exact figures with the table and period they came from, not numbers guessed from training data.
Want to see a whole analysis rather than a single answer? The end-to-end demo works one real question — *which state grew most between the 2010 and 2022 Censuses, and what drove it* — from first call to conclusion, with every figure as it came back. The practical examples are seven shorter recipes, including ranking all 5,570 municipalities in a single call.
ibge_* data tools plus search/fetch for ChatGPT Deep Research📖 Article (in Portuguese): Como achar a tabela certa no SIDRA — e como saber que é a certa — finding the right SIDRA table, the metadata that settles it, a full worked example on 2022 Census data, and the four traps that cost the most. Also published on the site, in Portuguese and English: sidneybissoli.com.
🔌 Tutorial: Querying SIDRA through MCP in Claude and ChatGPT — how to connect this server in claude.ai, Claude Desktop, Claude Code, ChatGPT (developer mode and Deep Research), Cursor, VS Code and Gemini CLI, then one real query end to end with the provenance block it returns. Em português.
Since v3.3.0 every successful tool response carries a provenance block (portfolio contract v1.0), so each number is citable, auditable, and reproducible. The block is emitted on three channels:
structuredContent.provenance (parseable, visible to the model) — exactly six keys: source (the IBGE API queried), source_url (canonical URL that reproduces the query), data_vintage (reference period when the source exposes one; null otherwise), retrieved_at (the REAL upstream extraction instant, preserved across cache hits, Brasília time), citation ("Fonte: IBGE — [pesquisa/tabela], [URL], extraído em [data]."), and license — plus attribution, the canonical list of source URLs._meta under br.com.sidneybissoli.ibge/provenance and .../attribution (out-of-band mirror for audit/UI, zero model tokens).The IBGE APIs declare no license of their own; the legal regime is Brazil's open-data framework — Lei 12.527/2011 (LAI) and Decreto 8.777/2016 (unrestricted reuse, free use, obligation limited to crediting the source). Statistics-mode responses (estatisticas=true) and ibge_comparar are marked derived with an explanatory note in the canonical block, since the aggregates are computed server-side from the raw IBGE values.
What each number is, and which version of it. A SIDRA value says neither its period nor whether it is a monthly change, a year-to-date or 12-month accumulation, an index or a level — the record's period column and its Variável label do, and each ibge_indicadores entry is pinned to the one variable its name promises (since 5.7.0; before, nine of them mixed every variable of the table). data_vintage is ordered by the SIDRA period code, so a January–December request reads "janeiro 2024–dezembro 2024". Every value is the version SIDRA publishes at retrieved_at: IBGE revises published figures (quarterly GDP, PNAD reweighting, PIM/PMC/PMS) and keeps no earlier version.
| Tool | Description |
|---|---|
ibge_estados | List Brazilian states with region filtering |
ibge_municipios | List municipalities by state or search by name |
ibge_localidade | Get details of a locality by IBGE code |
ibge_geocodigo | Decode IBGE codes or search codes by name |
ibge_vizinhos | Find neighboring municipalities |
| Tool | Description |
|---|---|
ibge_sidra | Query SIDRA tables (Census, PNAD, GDP, etc.) |
ibge_sidra_tabelas | List and search available SIDRA tables (accent-insensitive; everyday Portuguese resolved to the IBGE's wording, and the response says so) |
ibge_sidra_metadados | Get table metadata (variables, periods, levels) |
ibge_pesquisas | List IBGE research surveys and their tables |
| Tool | Description |
|---|---|
ibge_indicadores | Economic and social indicators (GDP, IPCA, unemployment) |
ibge_censo | Census data (1970-2022) with 16 themes |
ibge_comparar | Compare indicators across localities with rankings |
| Tool | Description |
|---|---|
ibge_cidades | Municipal indicators (population, HDI, GDP per capita, etc.) |
| Tool | Description |
|---|---|
ibge_paises | Country data following UN M49 methodology |
| Tool | Description |
|---|---|
ibge_nomes | Name frequency and rankings in Brazil |
| Tool | Description |
|---|---|
ibge_cnae | CNAE (National Classification of Economic Activities) |
| Tool | Description |
|---|---|
ibge_malhas | Geographic meshes (GeoJSON, TopoJSON, SVG) |
ibge_malhas_tema | What a thematic recorte contains (biomes, Legal Amazon, semi-arid, coastal, border strip, metro regions, RIDEs) + the URL to download its geometry |
| Tool | Description |
|---|---|
ibge_datasaude | Health indicators via IBGE's SIDRA |
| Tool | Description |
|---|---|
ibge_noticias | IBGE news and press releases |
ibge_calendario | IBGE release and collection calendar |
| Tool | Description |
|---|---|
search | Searches the IBGE catalog (SIDRA tables, municipalities, known indicators) — OpenAI Deep Research contract |
fetch | Returns one catalog document (table metadata, municipality hierarchy + population, indicator series) with its public URL for citation |
The two are the only tools without the ibge_ prefix: their names are fixed by the OpenAI contract. For data queries keep using the ibge_* tools.
With 23 tools, several can touch the same topic. Quick guide for the common overlaps:
| You want… | Use |
|---|---|
| A single municipality/state panel (population, HDI, GDP…) | ibge_cidades |
| Census data or historical series (1970–2022) | ibge_censo |
| Rank/compare 2–10 localities on one indicator | ibge_comparar |
| A macro indicator time series (GDP, IPCA, unemployment…) | ibge_indicadores |
| A specific SIDRA table / fine control | ibge_sidra |
| The largest/smallest/mean/median across a whole table | ibge_sidra/ibge_censo/ibge_indicadores/ibge_datasaude with estatisticas=true |
| You want… | Use |
|---|---|
| IPCA, INPC, GDP, unemployment (IBGE, primary source) | ibge_indicadores |
| You want… | Use |
|---|---|
| List/search municipalities | ibge_municipios |
| List states | ibge_estados |
| Resolve a name→code at any level, or decode a code's structure | ibge_geocodigo |
| Full record of one locality you already have the code for | ibge_localidade |
| Neighboring municipalities | ibge_vizinhos |
Discover → inspect → query: ibge_pesquisas / ibge_sidra_tabelas (find a table) → ibge_sidra_metadados (its structure) → ibge_sidra (query). For common data, the wrappers above (ibge_censo, ibge_indicadores, ibge_comparar, ibge_cidades) are usually easier.
The IBGE names its tables in official statistical Portuguese, and ibge_sidra_tabelas matched your words against the table name as a plain substring, accents included — so populacao (no tilde, as anyone types it) returned *nothing at all*, and so did the everyday word for a concept the IBGE names differently. Measured over the 9,336 tables of the Aggregates API (2026-09-16), fixed since 5.1.0: both sides are normalised, every word must match (AND), and the everyday word is expanded to the IBGE's own — the response says so in notas_vocabulario, and zero results come with a way out.
| you ask | hits before | the IBGE writes | hits |
|---|
| populacao,
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요