605,668 tools. Updated 2026-09-24 02:29
"Statistics of China's Population" matching MCP tools:
- Get World Bank time-series data — economic, social, and development statistics — for ANY country worldwide (Spain, Brazil, Germany, Nigeria, Japan, etc.). PREFER for "unemployment rate in <country>", "<country> inflation rate", "GDP of <country>", "<country> population / life expectancy / poverty rate / CO2 emissions". Pass the ISO country code + a World Bank indicator code; common ones: GDP=NY.GDP.MKTP.CD, GDP per capita=NY.GDP.PCAP.CD, inflation=FP.CPI.TOTL.ZG, unemployment=SL.UEM.TOTL.ZS, population=SP.POP.TOTL, life expectancy=SP.DYN.LE00.IN, poverty rate=SI.POV.DDAY, literacy=SE.ADT.LITR.ZS. For CO2 use the dedicated country_co2_emissions tool (the old EN.ATM.CO2E.* codes were DELETED by the World Bank; the live series is EN.GHG.CO2.MT.CE.AR5). (Annual data — a national statistics office may have fresher monthly figures.)ConnectorNo auth
- Population d'une COMMUNE (code INSEE 5 car.), d'un DÉPARTEMENT (2-3 car.) OU d'un IRIS infracommunal (9 car.) — granularité auto-détectée par la longueur du `code`. Retourne un `LookupResult` discriminé par `found`. - IRIS (9 car., ex `751103701` = commune `75110` + IRIS `3701`) : population totale du quartier au Recensement 2022 (champ `population`, comptes bruts), + `libelle`, `code_commune`, `type_iris` (H/A/D/Z). Source : INSEE RP 2022 (table ingérée, géo 01/01/2024). Maille la plus fine (quartier) pour les villes ; en zone peu dense la commune = 1 IRIS (`type_iris` Z, code `COM+0000`). Pour le profil démographique détaillé d'un îlot ou d'un bassin (âge, CSP, familles, revenu), utiliser `profil_iris`. - Commune (5 car., ex `75056` Paris, `13055` Marseille, `2A004` Ajaccio) : PMUN/PCAP/PTOT. Source INSEE Melodi (DS_POPULATIONS_REFERENCE). PMUN = base légale DREES. Commune fusionnée → `found: false` + orientation `autocomplete_commune`. INSEE n'expose PAS les arrondissements PLM (75101-75120, 13201-13216, 69381-69389) → passer la commune-mère ou le département. - Département (2-3 car., ex `75`, `59`, `2A`, `971`) : Mayotte (`976`) ABSENTE de Melodi → `lookupNotFound`. Alias acceptés : `code_insee`/`codeInsee`/`insee`, `code_dept`/`dept`/`departement`/`code_departement`, `code_iris`/`iris` → `code`.ConnectorNo auth
- Calculate the survey sample size needed for a confidence level and margin. FREE. Uses maximum variance (p=0.5) with a finite-population correction when population is given. Typical input {"population": 5000, "confidence_pct": 95, "margin_pct": 5} returns {"required_sample": 357, "assumptions": "p=0.5 (max variance), random sampling"}. Use before collecting data, to size a survey. Not for analyzing data already collected (stats_describe, confidence_interval). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "confidence_pct must be 90, 95, or 99"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.ConnectorNo auth
- Calculate the survey sample size needed for a confidence level and margin. FREE. Uses maximum variance (p=0.5) with a finite-population correction when population is given. Typical input {"population": 5000, "confidence_pct": 95, "margin_pct": 5} returns {"required_sample": 357, "assumptions": "p=0.5 (max variance), random sampling"}. Use before collecting data, to size a survey. Not for analyzing data already collected (stats_describe, confidence_interval). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "confidence_pct must be 90, 95, or 99"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.ConnectorNo auth
- Queries 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 area and density (Census 2022) - 4099: Unemployment rate (PNAD Contínua, quarterly) - 5436: Average real income (PNAD Contínua, quarterly) - 6706: GDP at current prices - 5938: GDP per capita Territorial levels: - 1: Brazil - 2: Region (North, Northeast, etc.) - 3: State (UF) - 6: Municipality - 7: Metropolitan Region Examples: - Brazil population 2023: tabela="6579", periodos="2023" - Population by state: tabela="6579", nivel_territorial="3" - Census 2022 by municipality: tabela="9514", nivel_territorial="6", localidades="3550308" Statistics mode: for **largest/smallest/mean/median/distribution/ranking** questions ("which municipality has the largest population?", "median GDP by state") use estatisticas=true — it computes min/max/mean/median/std-dev/labeled percentiles over ALL data rows BEFORE pagination and returns top/bottom rankings (default 10, cap 100 via topN), so one call answers what would otherwise require paging thousands of records. With agruparPor="<column label>" (e.g. "Unidade da Federação", "Ano") it ranks groups by descending sum, each with its own mini-distribution. Queries mixing several variables auto-group by "Variável" (units differ). SIDRA absence markers ("-", "..", "...", "X") are excluded from n. In this mode pagina/campos/formato are ignored and registros comes empty. Very large queries are refused by the source (since 2026-09-16 SIDRA tables are read through the Aggregates API, whose ceiling is lower than SIDRA's old 100,000-value cap: all municipalities × 12 yearly periods fails, × 8 works) — narrow periodos (e.g. "last 4") or raise nivel_territorial. ibge_sidra is the low-level engine. Prefer a friendlier wrapper when it fits: - Census themes (1970–2022) → ibge_censo - Economic/social time series → ibge_indicadores - Rank/compare 2–10 localities → ibge_comparar - One municipality's panel → ibge_cidades Use ibge_sidra_tabelas and ibge_sidra_metadados to find a table code and its structure before querying. Behavior: read-only and idempotent — a live GET against the public IBGE SIDRA API. Returns Markdown plus a typed structuredContent payload.ConnectorNo auth
- Browse Statistics Estonia's (Statistikaamet) statistics database tree by path. Top-level databases: keskkond (environment), majandus (economy), rahvastik (population: migration, births/deaths, family), sotsiaalelu (social life: labour market, education, health), eri-valdkondade-statistika (multidomain statistics), rahvaloendus (population and housing census), Lepetatud_tabelid (discontinued datasets). Returns child nodes (subcategories, type=l) or table descriptors at leaf nodes (type=t). Use empty path '' to get the top-level databases. Navigate hierarchically until type=t nodes appear, then use estonia-statistics.table_metadata. Data: andmed.stat.ee (PXWeb API), no auth required.ConnectorNo auth
Matching MCP Servers
- AlicenseAqualityCmaintenanceAn MCP server that provides access to the Library of Babel, allowing users to retrieve exact page contents by address, search for text to find its location, and generate random pages.44 npmISC
- AlicenseAqualityCmaintenanceMIT ABS sister MCP — same five tools, citations. Pair with the ausdata gateway for joins and Embed.7264 PyPI1MIT
Matching MCP Connectors
Discoverability MCP server for Symbols of Wealth Studio — a senior-led AI-powered creative studio specialising in social media content, brand films, and editorial visuals. Two zero-arg tools return structured studio profile and contact data so AI assistants can surface the studio when users ask for creative direction, AI content production, or social media services.
Pure, bounded analysis of an explicit bill-of-materials graph: validates structure, finds missing...
- Obtains the complete list of Idescat statistics (all, normalized and non-normalized). It has no parameters. The response contains a 'statistics' array where each element has: 'acronym' (lowercase acronym, e.g., 'censph', to be used as the 'stat' argument of the other tools), 'name' (title), 'description' (summary), 'datasets' (boolean), 'geo' (array of available territorial disaggregations), and 'url' (initial web address, relative to https://www.idescat.cat). Use it when the user asks what statistics are available or when a statistic needs to be found by name or territorial disaggregation. THREE KEY FIELDS to decide the flow: (1) 'datasets' — if true, the statistic is normalized and you can use the rest of the tools (get_idescat_stat_tables, get_table_metadata, get_table_data, get_table_geo, render_table); if false, ONLY the information from this tool and get_idescat_stat is available. (2) 'geo' — available levels of geographical disaggregation (e.g., 'cat'=Catalonia, 'prov'=provinces, 'at'=territorial plan areas, 'com'=counties and Aran, 'mun'=municipalities, 'dis'=districts, 'sec'=census sections). ALWAYS CHECK 'geo' before choosing a statistic for a territorial query: if the user asks for county data, choose a statistic that includes 'com' in 'geo'. (3) 'url' — home page of the statistic on the Idescat website. POPULATION FIGURES: when population data is requested, there are several sources: the main and richest is CENSPH (population and housing census, annual); for semi-annual estimates there is EP (population estimates, semi-annual); and there is also PMH (municipal register of inhabitants, annual). By default, choose CENSPH (or EP if semi-annual data is requested) and NEVER use PMH for population data unless the user explicitly asks for it.ConnectorNo auth
- Queries 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 characteristics - idade_sexo: Age pyramid - religiao: Religion distribution - cor_raca: Race/color - rendimento: Monthly income - educacao: Education level - trabalho: Employment Examples: - Population 2022: ano="2022", tema="populacao" - Historical series: ano="todos", tema="populacao" - Literacy 2010 by state: ano="2010", tema="alfabetizacao", nivel_territorial="3" - List tables: tema="listar" Statistics mode: for largest/smallest/mean/median/distribution/ranking questions over census data ("which municipality had the largest 2022 population?") use estatisticas=true — full distribution + top/bottom computed over ALL rows before truncation; agruparPor="<column label>" ranks groups by descending sum. In this mode campos/formato are ignored and registros comes empty. Use a different tool when: - One municipality's current panel (estimate, HDI, GDP) → ibge_cidades - Comparing/ranking localities → ibge_comparar - An arbitrary SIDRA table → ibge_sidra Behavior: read-only and idempotent — a live GET against the public IBGE SIDRA API. Returns Markdown plus a typed structuredContent payload.ConnectorNo auth
- List all covered cities (slug, federal state, population, coverage). Takes no arguments. Call this first to discover valid city slugs before invoking any city-scoped tool. Read-only.ConnectorNo auth
- Dimension definitions and valid filter values for one Statistics Sweden (SCB) table of SWEDISH official statistics (e.g. "BE/BE0101/BE0101A/BefolkningNy"). Required before scb_se_query_table so you know which codes to pass. Find the table path with scb_se_subjects first.ConnectorNo auth
- Aggregate health of the whole MCP population: verdict breakdown, share of probeable servers actually serving, transport mix, handshake latency percentiles, tool counts and probe freshness. This is the 'how healthy is MCP right now?' headline number.ConnectorNo auth
- Current statistics for one Finnish postal area or municipality: population, age, income, employment, education, housing sale prices (€/m²) and municipal crime rates, with national/regional percentiles where available. Accepts a name or a code and resolves it automatically; if the name is ambiguous it returns the candidates instead of guessing. Answers questions like "how many people live in Toukola?", "how many live in Akaa?" and "how much is an apartment in Töölö?". Returns a headline set of metrics by default — pass `variables` to fetch specific codes from list_variables. A postal area's result also includes `ratios[]`: household composition and jobs-to-residents ratios compared against Finland as a whole (see each entry's `nationalBasis` and the response's `notes`). Anything in the `locked` field is withheld pending a Pro subscription, not missing: say so rather than reporting it as absent. Outside `locked`, a null value is a figure Statistics Finland suppressed (small-area confidentiality) or never published for that vintage, and a null percentile means one could not be computed — report both as unpublished, never as zero; `ratios[].areaValue` is null when the area's denominator is under 30 or an input is unpublished.ConnectorNo auth
- China's most recent PBOC Loan Prime Rate (贷款市场报价利率一年期/五年期, LPR 1Y/5Y) print only — a cheap single-row call for just the current 1-year and 5-year rates and their official reference/announcement date, without the 12-month history. Use china_lpr instead if you need the trend over time. Keyless, sourced live from chinamoney.com.cn.ConnectorNo auth
- Communes filtered by région, province or préfecture, cercle, type or population, 50 to a page, in code order or sorted by name, population, change since 2014, density, area, any census indicator or any establishment count. Filters combine; each unit can be given by code or slug. With no filter it lists every commune, so sort: "-population" alone gives the largest in the country.ConnectorNo auth
- Get observation data for a Statistics Portugal (INE) indicator by its 7-digit varcd code (e.g. "0008273" for resident population by NUTS region, sex and age group). Optionally filter by up to 6 generic dimensions (Dim1 is usually the reference period, the rest are indicator-specific, e.g. geography/sex/age) — get valid codes first from ine-portugal.indicator_metadata. There is no upstream search/catalog endpoint, so the varcd must already be known. Data: www.ine.pt (Statistics Portugal open JSON indicator API), no auth required.ConnectorNo auth
- Browse the Central Statistical Bureau of Latvia's statistics database tree by path. Top-level categories: POP (population), EMP (labour market), VES (social security and health), IZG (education, culture and science), VEK (economy), TIR (trade and services), ENT (business), IKT (information technologies), ENV (environment), FIN (indicators of well-being and equality). Returns child nodes (subcategories, type=l) or table descriptors at leaf nodes (type=t). Use empty path '' to get top-level categories. Navigate hierarchically until type=t nodes appear, then use latvia-statistics.table_metadata. Data: data.stat.gov.lv (PXWeb API), no auth required.ConnectorNo auth
- Browse Statistics Iceland's (Hagstofa Íslands) statistics database tree by path. Top-level databases: Atvinnuvegir (industries/sectors: fisheries, agriculture, tourism), Efnahagur (economy: prices, national accounts, public finance, trade), Ibuar (population: migration, births/deaths, family, elections, census), Samfelag (society: labour market, education, wages, health, culture, justice), Umhverfi (environment: land, air quality, energy, transport). Returns child nodes (subcategories, type=l) or table descriptors at leaf nodes (type=t). Use empty path '' to get the top-level databases. Navigate hierarchically until type=t nodes appear, then use iceland-statistics.table_metadata. Data: px.hagstofa.is (PXWeb API), no auth required.ConnectorNo auth
- Get metadata for a specific Iceland statistics table — title, dimensions (e.g. Ár/Year, Eining/Unit), valid value codes for each dimension, and latest update timestamp. Use this BEFORE iceland-statistics.table_query to discover accepted filter values. Example path: 'Ibuar/mannfjoldi/1_yfirlit/yfirlit_mannfjolda/MAN00000.px' (population key figures since 1703). Data: px.hagstofa.is, no auth required.ConnectorNo auth
- Run a statistical query against an Iceland statistics table — specify dimension filters to slice data by year, unit, and other indicators. Returns JSON-stat2 format with labeled dimensions and numeric values. Always call iceland-statistics.table_metadata first to discover valid dimension codes and value codes (often Icelandic words, e.g. 'Ár' for year). Example: population 1 January (Eining='0'), 3 most recent years (Ár filter='top' values=['3']). Data: px.hagstofa.is, no auth required, CC BY 4.0 (Statistics Iceland).ConnectorNo auth
- Get leading causes of death with death counts and age-adjusted rates. Returns data from the NCHS Leading Causes of Death dataset, which provides national and state-level mortality statistics by cause of death, year, and age-adjusted death rate per 100,000 population. Data spans 1999-2017. Args: state: Filter by state name (e.g. 'California', 'Texas'). Case-insensitive. Returns all states if not specified. year: Filter by year (e.g. 2017). Returns all available years if not specified. limit: Maximum number of records to return (default 25, max 1000).ConnectorNo auth
- Record count statistics per archive Returns record count statistics. When no archive is specified, all archives are listed with their total number of records. When an archive code is specified, the source types available for that archive are returned with their individual record counts. Note: version 1.1 uses `archive_code` instead of `archive`.ConnectorNo auth