Weathersight

Install

Pick the AI app you use, then copy the settings.

Passed 4/4 checks · What you ask goes through the maker’s server (weathersight.io)

claude mcp add --transport http --scope user weathersight https://weathersight.io/api/mcp

{
  "mcpServers": {
    "weathersight": {
      "url": "https://weathersight.io/api/mcp"
    }
  }
}

{
  "servers": {
    "weathersight": {
      "type": "http",
      "url": "https://weathersight.io/api/mcp"
    }
  }
}

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Connect over the internet in

ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

All apps, with pros and cons →

What it can do

Tool names and descriptions exactly as the server reported them on Nov 9, 2026. The maker wrote them, not us; we show them as plain text.

• anom

  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 fo

• anomalies

  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

• bestplace

  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/

• besttime

  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_

• breaking

  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 for

• climatecomps

  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 c

• climatetrends

  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 av

• climatetwins

  Finds the places whose climate is most like a given location's. Each location has a climate fingerprint built from ERA5 reanalysis monthly climatology for 1996-2025: for each month, typical daily highs and lows, hot-day and cold-night extremes, dew point, rain and snow, plus elev

• compare

  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. Dat

• countries

  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. Prerequisite

• dailycomp

  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

• dailycountbyloc

  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.

• dailycountbyyear

  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

• dailyfcasteval

  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 fo

• dailyweather

  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 entr

• degreedays

  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 i

• events

  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

• extremes

  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; moder

• fcastevalbygroup

  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 th

• fcastevalbylocation

  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

• location

  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 po

• metrics

  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 sessi

• recentextremes

  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

• seasonal

  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

• timeseries

  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, n

• typicalweather

  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[

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 12, 2026

• ✓ Pass

  Maker matches the repo

  The registry name was verified against the domain weathersight.io (the registry checks domain ownership)

• ✓ Pass

  Still maintained

  Code last changed 2 months ago

• … Not checked yet

  Has a licence

  We have not read this repo from GitHub yet

• ✓ Pass

  Endpoint responds

  Responded in 355 ms (HTTP 200)

• – Not applicable

  Sign-in with OAuth

  No sign-in needed

• ✓ Pass

  No hidden instructions in tool descriptions

  Read 26 tool descriptions and found no hidden instructions to the AI

User reviews

No reviews yet

Sign in with Google to write a review

Compared with others in Marketing & social mediai

• More stars than 0% of the other 3820 servers in this category
• Published to the registry more recently than 27% of the other 3820 servers in this category
• Basic checks equal to or better than 100% of the other 3820 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Others in the same category

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

PostHog MCP Server

Official PostHog MCP Server for product analytics, feature flags, experiments, and more.

by PostHog·Widely used·★ 40.7K Stars for the whole repo·Updated 10 months ago

Runs in the cloud

Install

Openshorts

Turn long videos into viral vertical shorts and publish them to TikTok, Instagram and YouTube.

by mutonby·Widely used·★ 7.8K·Updated 3 months ago

Runs in the cloud

Install

Google Ads + Meta Ads + SEO/GEO MCP

Google Ads, Meta Ads, Google Analytics (GA4) & Search Console MCP server by Ryze AI

by irinabuht12-oss·Widely used·★ 7.4K·Updated 31 days ago

Runs in the cloud

Install

README from the maker

https://weathersight.io/api/mcp