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feat(container): update image ghcr.io/cmer81/open-meteo-mcp ( 1.6.1 ➔ 1.7.0 )#269

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feat(container): update image ghcr.io/cmer81/open-meteo-mcp ( 1.6.1 ➔ 1.7.0 )#269
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@renovate renovate Bot commented Jul 25, 2026

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This PR contains the following updates:

Package Update Change
ghcr.io/cmer81/open-meteo-mcp minor 1.6.11.7.0

Release Notes

cmer81/open-meteo-mcp (ghcr.io/cmer81/open-meteo-mcp)

v1.7.0

Compare Source

This release closes out a full audit comparing all 9 upstream Open-Meteo OpenAPI specs against what this MCP server exposes, fixing all 50 findings (5 Critical, 15 High, 21 Medium, 11 Low) across four incremental PRs. Every change was verified against the live Open-Meteo API, not just the spec text, since the two don't always agree — a few spec-documented values were tested and intentionally left out because they return null data live.

Highlights

New parameters exposed

  • air_quality: current conditions (AQI, pollens, UV index, …), domains, start_date/end_date
  • seasonal_forecast: weekly and monthly blocks (previously missing entirely), models, cell_selection
  • weather_forecast & the 7 model-specific tools: minutely_15, cell_selection, tilt/azimuth, past_hours/forecast_hours, ~140 newly verified hourly variables (full pressure-level grid across 19 standard levels)
  • marine_weather: current, minutely_15, models (wave model selection), length_unit, unit params
  • ensemble_forecast: multi-model arrays (compare several ensemble systems in one call), elevation, temporal_resolution, date/hour range params
  • weather_archive: models (reanalysis dataset selector), ~20 new daily/hourly variables
  • flood_forecast: models (GloFAS version), previously-hidden schema params (timeformat, date range, cell_selection)
  • elevation: batch lookup via arrays of coordinates

Corrected ranges & requirements

  • forecast_days/past_days ranges fixed across air_quality, marine_weather, ensemble_forecast, flood_forecast, climate_projection
  • models/daily no longer wrongly marked as required on climate_projection and ensemble_forecast

Stricter, more accurate validation

  • Per-provider model tools (dwd_icon_forecast, gfs_forecast, meteofrance_forecast, jma_forecast, metno_forecast, gem_forecast) now validate against their own provider's models instead of accepting the full cross-provider list
  • A handful of spec-documented values were removed after confirming they return null data on the live API regardless of location or model (e.g. weather_archive's surface_temperature)

See #​50, #​51, #​52, #​53 for the full per-tool breakdown and the live-API verification notes behind each change.

Full Changelog: cmer81/open-meteo-mcp@v1.6.1...v1.7.0


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@github-actions

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--- HelmRelease: ai/open-meteo-mcp Deployment: ai/open-meteo-mcp

+++ HelmRelease: ai/open-meteo-mcp Deployment: ai/open-meteo-mcp

@@ -42,13 +42,13 @@

       containers:
       - env:
         - name: PORT
           value: '3000'
         - name: TRANSPORT
           value: http
-        image: ghcr.io/cmer81/open-meteo-mcp:1.6.1
+        image: ghcr.io/cmer81/open-meteo-mcp:1.7.0
         livenessProbe:
           failureThreshold: 3
           httpGet:
             path: /health
             port: 3000
           initialDelaySeconds: 15

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--- kubernetes/apps/ai/open-meteo-mcp/app Kustomization: ai/open-meteo-mcp HelmRelease: ai/open-meteo-mcp

+++ kubernetes/apps/ai/open-meteo-mcp/app Kustomization: ai/open-meteo-mcp HelmRelease: ai/open-meteo-mcp

@@ -34,13 +34,13 @@

           app:
             env:
               PORT: '3000'
               TRANSPORT: http
             image:
               repository: ghcr.io/cmer81/open-meteo-mcp
-              tag: 1.6.1
+              tag: 1.7.0
             probes:
               liveness:
                 custom: true
                 enabled: true
                 spec:
                   failureThreshold: 3

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