Weathersight

Historical weather and climate: 100+ years of station data, normals, extremes, and trends.

Connector by weathersight.ioOfficial · Domain verified by the MCP Registry

IndexedMITRemote (HTTP)

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Works with Claude Code, VS Code, Cursor, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install connector/weathersight-io-weathersight

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Remote endpoint

https://weathersight.io/api/mcp Remote (HTTP)

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About

Historical weather and climate: 100+ years of station data, normals, extremes, and trends.

Reviews

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Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools: 25 read · 0 write · 0 deleteRead-only
Secrets: None asked for
Install scripts: Nothing to install (hosted)
Runs as: Hosted (remote endpoint)

Tools by what they do 25

From the running server's own tool list (tools/list) on Oct 25, 2026.

Read 25 · Look things up without changing anything.

anom
anomalies
bestplace
besttime
breaking
climatecomps
climatetrends
compare
countries
dailycomp
dailycountbyloc
dailycountbyyear

Show 13 more tools

dailyfcasteval
dailyweather
degreedays
events
extremes
fcastevalbygroup
fcastevalbylocation
location
metrics
recentextremes
seasonal
timeseries
typicalweather

Network hosts it talks to 1

weathersight.io · found in remote endpoint, install command

Tools (25)

As the server listed them on Oct 25, 2026. Descriptions are the server’s own words; hidden characters are shown as [U+…].

anomDaily Anomaly Detailread-only
Returns observations with 1991–2020 baseline comparisons at daily, weekly, or monthly granularity for a location and period. When to use: Graph or tabulate recent anomalies at a location for a specific period — e.g. 'how did last month compare to normal?' Date format: YYYYMMDD for ymd; use groupby (day/week/month) to control granularity. For 'last week' use YYYYMMDD of 7 days ago. For 'last month' use YYYYMM of prior month. Performance: Computed on demand; moderate speed. Prerequisites: Use /location to obtain a locid first. Investigate: U…
anomaliesWeather Anomaliesread-only
Returns precomputed anomalous observations for locations in a given time period and scope. When to use: Survey anomalous weather at regional or global scale quickly without specifying individual cities. Date format: YYYY[MM[DD]]: YYYY for annual anomalies (scope=year), YYYYMM for monthly (scope=month), YYYYMMDD for weekly or daily (scope=week/day). Performance: Fast — retrieves precomputed data. Prerequisites: None; global or country-filtered. Use /countries for country IDs. Investigate: Good early call to identify which locations experien…
bestplaceBest Place to Goread-only
Given a single week, month, or day, ranks locations whose weather best matches a set of criteria (most optional criteria met first; all MUST criteria satisfied by every result). Filter by lat/lon+radius or countries. When to use: Answer 'where has the best weather for week/month/day X?' Date format: scope=day + time=YYYYMMDD (forecast); scope=week + time=MMDD; scope=month + time=MM. Defaults: week of today+14, month today+1, day today+1. Performance: Filter by area/countries to keep fast. Prerequisites: None; supply lat/lon+radius_km or a country lis…
besttimeBest Time to Visitread-only
Given a location, ranks the weeks or months whose historical climatology best matches a set of weather criteria (most optional criteria met first; all MUST criteria satisfied by every result). When to use: Answer 'when is the best time to visit X for weather like Y?' Choose when_type=week or month over the 1996-2025 baseline. Date format: when_type: week|month|day. Historical basis only for week/month. Performance: Sub-second per location. Prerequisites: Use /location to obtain a locid first. Investigate: Rank a location's calendar by weat…
breakingRecord-Breaking Weatherread-only
Returns anomalous weather conditions (breaking news) across the world or specified countries in the very recent past (observations) or immediate future (forecast). When to use: First call when looking for current or upcoming notable weather events globally or by country. Date format: No date params — always returns the most recent ~3 days of observations (breaking_type=obs) or next 7 days of forecast (breaking_type=forecast). Performance: Fast — retrieves precomputed anomaly snapshots. Prerequisites: Use /countries to get country IDs for filtering. <…
climatecompsClimate Comparisonsread-only
Returns monthly distributions of selected metrics for locations compared against a baseline period. When to use: Compute normalized and absolute deviations from a baseline, inter-annual and intra-annual variations within months and seasons. Check base_N and obs_N to assess data completeness. Date format: obs_years as YYYY or YYYY-YYYY range; months as MM or MM-MM (e.g. '06', '06-08', 'All' for annual). Performance: Bulk query — can be slow for global or large-area queries. Filter with locids, lat_lon/radius_km, or countries. Prerequisites: Use /locat…
climatetrendsClimate Trendsread-only
Returns monthly timeseries of selected climate trend metrics for one or more locations, suitable for long-term trend analysis. When to use: Retrieve long-term monthly timeseries for statistical trend analysis across any number of locations including globally. Use num_years and avg_N to filter sparse records. Date format: years as YYYY- range (e.g. '1975-' for 1975 to present); months as MM or MM-MM range (e.g. '06' for June, '06-08' for June–August, 'All' for annual). Performance: Bulk query — can be slow for global or many-location queries. Filter with locids,…
compareCompare Locationsread-only
Compares a location's observed weather period against the corresponding periods in a historical baseline distribution. When to use: Quantify how extreme a specific period was across all metrics at once — e.g. how anomalous was March 2025 at New York vs the 1991–2020 baseline. Date format: YYYY[MM[DD]]: YYYYMMDD for a specific day or short window (period_type DAY/WEEK), YYYYMM for a month (period_type MONTH), YYYY for an annual comparison (period_type YEAR). Performance: Computed on demand; fast for short periods. Prerequisites: Use /location to obtai…
countriesList Countriesread-only
Returns countries with their canonical country IDs used in all other API calls. When to use: Resolve country names to canonical IDs, or obtain the full list of supported countries. This list rarely changes. Performance: Fast — static data; safe to cache across calls. Prerequisites: None. Investigate: Call once if country-level filtering is needed; cache the result for the session. Augment: Fetch country IDs before making country-filtered calls to /anomalies or /breaking. Returns: countries, country.ctryid, country.name, country.regions.
dailycompDaily Comparisonread-only
Returns per-day observed values with percentiles and z-scores vs a sliding N-day window over a historical baseline. When to use: Graph heatwaves, cold spells, and other streaks by showing daily departures from normal. Also compare two separate periods or locations using z-scores or percentiles for normalized severity. Date format: YYYYMMDD for ymd_start and ymd_end. Keep ranges ≤30 days for fast response; up to 90 days is feasible. Performance: Computed on demand; slower for long date ranges. Prerequisites: Use /location to obtain a locid first. …
dailycountbylocCondition Frequency by Locationread-only
How often a compound daily weather condition happens, per location: for every location in an area, the average number of days per year that met all the criteria, with the count, the days that had data, and the percentage. When to use: Map where a condition is common or rare, e.g. 'where are summer days between 20 and 30 C most frequent' or 'where did heatwave nights occur in the last five summers'. Date format: Either ymd_start and ymd_end (YYYYMMDD, at most 31 days) or year_start, year_end with optional mm_dd_start and mm_dd_end for a season across years (at most 5 years…
dailycountbyyearCondition Frequency by Yearread-only
For one location, the number of days per year that met all the criteria within a month-day window, for every year with data, plus a trend line (days per decade) with R squared and p-value. When to use: Answer 'is this condition becoming more frequent here?', e.g. hot summer days or frost nights per year over decades. Date format: The window is mm_dd_start and mm_dd_end (MMDD), or the month-days of ymd_start and ymd_end; years are not a filter, every year with data is returned. A window crossing the year end (1201 to 0228) belongs to the year it starts in. Defaults to the …
dailyfcastevalForecast Accuracy Over Timeread-only
How good Weathersight's own forecast was at one location, at one or more lead times: a daily series of the observed value, the forecast made lead days earlier, and RMSE, MSE, ACC and ETS over a trailing window ending on each day. When to use: Answer 'how reliable has the 3-day forecast been here lately?' or 'how fast does skill decay from 1 to 7 days ahead?'. This scores the forecast Weathersight serves (after model choice and bias correction); fcastevalbylocation scores the raw vendor models. Date format: start_date and end_date are YYYYMMDD, at most 31 days apart (forec…
dailyweatherDaily Weather by Arearead-only
One day's weather across an area: every location matching the criteria on that date, with one or more metrics' values, anomalies (z) and percentiles. Observed days, or Weathersight's forecast for the next 7 days. The result is columnar: columns names each position, and every entry of rows is a list aligned with columns (null where absent). When to use: Map a single day, e.g. 'where was it over 40 C yesterday' or 'where is tomorrow forecast to be unusually humid'. Date format: date is YYYYMMDD. Observations exist up to yesterday; forecasts from tomorrow to 7 days ahead, an…
degreedaysDegree Daysread-only
Returns cumulative degree-day indicators (heating/cooling/growing) for a location and period using ERA5 reanalysis data. When to use: Estimate energy demand anomalies or agricultural stress in a recent or upcoming period. Date format: YYYYMMDD for ymd_start and ymd_end. Maximum interval is 14 days per call. Performance: Computed on demand using ERA5; moderate speed. Keep intervals to ≤14 days. Prerequisites: Requires lat/lon directly — no locid needed. Investigate: Use when the query involves power grid strain or energy demand. For forecas…

Show 10 more tools

eventsWeather Eventsread-only
Finds days matching one or more compound weather conditions (e.g. hot + humid, rainy + windy) for a location. Returns up to 5000 most-recent matching events plus the total count. When to use: Count occurrences of compound weather events across years, study extreme or unusual day combinations, or identify streaks of such events. Date format: year_start/year_end as YYYY; month_day_start/month_day_end as MMDD for seasonal filtering within each year. Performance: Computed on demand; returns up to 5000 most-recent matches. Prerequisites: Use /location to …
extremesExtreme Value Analysisread-only
Returns extreme value analysis (return periods) for a specified location and metric. When to use: Quantify the statistical rarity of a record or near-record value. Typically called after other APIs establish that an observation is anomalous. Performance: Computed on demand; moderate speed. Prerequisites: Use /location to obtain a locid first. Prefer level='area' over 'city' for better recall and longer period of record. Investigate: Use after /recentextremes or /anom establishes a high value; provides the return-period framing ('a once-in-50-year eve…
fcastevalbygroupForecast Model Scores by Arearead-only
Scores how well each forecast model actually performed at each of many locations, by comparing what the models predicted against what was then observed. Returns one score matrix per location, models by evaluation metrics, for a single weather metric at a single lead time, plus the winning model per location. When to use: Answer 'which forecast model is most accurate here?' at scale — to map the best model by region, to check whether a specific model is worth using over the default blend, or to compare physical and AI models across the world. Date format: ymd_start and ymd…
fcastevalbylocationForecast Skill by Lead Timeread-only
Scores how well each forecast model performed at ONE location, across several forecast lead times and across a sliding time window. Shows both how fast accuracy decays as the forecast reaches further ahead, and how accuracy at a given lead time has varied over recent weeks. When to use: Answer 'how far ahead can I trust the forecast here?' or 'has the forecast been unusually poor here lately?' Use fcastevalbygroup instead to compare many locations at one lead time. Date format: ymd_start and ymd_end are YYYYMMDD and inclusive. Inclusive day range as YYYYMMDD. Defaults to …
locationFind Locationread-only
Returns meta information for a location given a name, locid, or lat/lon. When to use: Obtain the canonical locid needed by all location-specific API calls. Typically the first call in any workflow. Performance: Fast — precomputed lookup. Prerequisites: None — this is the entry point. Investigate: Call first whenever the user names a city or region; cache the locid for all subsequent calls in the session. Use 'City, State Country' format (e.g. 'Austin TX USA'). Augment: Resolve city names from the article to locids early; reuse them through…
metricsList Metricsread-only
Returns the catalogue of all supported weather metric identifiers with units and categories. When to use: Resolve metric IDs to human-friendly names, units, and categories. Call once and cache per session. Performance: Fast — static data; safe to cache for the lifetime of a session. Prerequisites: None. Investigate: Call once at session start; use metric.id as a lookup key throughout the conversation. Augment: Translate metric IDs into readable labels for article text and chart axes. Returns: metrics, metric.id, metric.name, metric.cat, me…
recentextremesRecent Extremesread-only
Returns recent weather records (all-time or period-of-record extremes) for the world or specified countries. When to use: Find which locations have broken or nearly broken records in a recent date window. Set history_years ≥ 15 to ensure a meaningful period of record. Date format: YYYYMMDD for ymd_start and ymd_end. Keep windows ≤ 3 months per call for reasonable performance. Performance: Computed on demand; slower for large date ranges. Start with scope='monthly' or 'yearly'; fall back to 'weekly' for near-records. Prerequisites: Use /countries for …
seasonalSeasonal Forecastread-only
Seasonal (monthly) forecast anomalies for the next six months, with the local climatology they are measured against. Each result gives, per metric: the ERA5 baseline mean (means), its interannual standard deviation (std), the predicted anomaly (anom, in degrees C / mm / km/h) and how unusual that is, both as standard deviations (norm) and as a percentile rank among the last 30 years (perc). When to use: Answer 'will next month be hotter/wetter than normal here?' or 'where is the coming season predicted to be most unusual?' Date format: ym_start and ym_end are YYYYMM, incl…
timeseriesHistorical Time Seriesread-only
Returns aggregated metric values as a yearly or monthly timeseries for a location. When to use: Detect long-term trends and compute statistical significance (r-squared, p-value). Best suited for multi-decade spans. Date format: mm_dd_start/mm_dd_end as MMDD (day-of-year window, not a calendar year); year_start/year_end as YYYY. Note: Use mm_dd_start/mm_dd_end as MM when months are specified and MMDD when week-level granularity is needed. When day-level info is needed use /events or /dailycomp. Performance: Computed on demand; slower for large date ranges or man…
typicalweatherTypical Weatherread-only
Returns statistical distributions of weather attributes (temperature, precipitation, wind, etc.) for a location and time period. When to use: Establish the climatological baseline — what is 'normal' for this location and period. Use before discussing anomalies. Date format: YYYY[MM[DD]]: YYYYMMDD for a specific week, YYYYMM for a month, YYYY for a seasonal or annual overview. Note: YYYYMMDD does not give info about daily obs. If a date is specified it corresponds to the week. Use /events for daily history. Performance: Computed on demand; moderate speed. Avoid…

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Stars: 0
Forks: 0
Open issues: 0
Last commit: Sep 2, 2026 (1 month ago)
Last release: Sep 1, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

Registry name: io.weathersight/weathersight
Version: 1.0.0
Auth: Auth not stated
License: MIT
Repository: github.com/greatsnakes/weathersight-mcp
Website: weathersight.io
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: Official MCP Registry github-graphql

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0.540

Security 30%not yet
Popularity 25%0.29
Freshness 20%0.80
Rating 15%not yet
Docs 10%0.82

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Weathersight MCP server. Agent Mart. https://agentmart.dev/connectors/weathersight-io-weathersight (last updated 2026-10-24)