Skip to main content
Glama
115,859 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

"Open Collective" matching MCP servers:

GET /v1/servers – MCP directory API reference
  • A
    license
    A
    quality
    F
    maintenance
    Provides comprehensive weather data (forecasts, historical, air quality, marine) from Open-Meteo through 12 tools, with support for single and batch location queries.
    12
    1
    Apache 2.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    MCP server for Open-Meteo free weather APIs, offering 16 tools for forecast, historical, air quality, marine, flood, ensemble, climate, seasonal, and scheduled data collection with no API key required.
    65 npm
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Provides weather forecasts and climate history via Open-Meteo, including daily and hourly outlooks, typical past weather for future trip dates, location disambiguation, and ranked recommendations for pleasant outdoor days.
    5
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables on-demand weather queries for up to three named locations via Open-Meteo, supporting current conditions, forecasts, rain probability, and conversational location management in English or Japanese.
    6
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    MCP server that searches Japanese addresses and returns their locations as polygons or points using the open 住所LOD dataset, enabling geocoding, reverse geocoding, batch GeoJSON export, and map visualization.
    8
    1
    MIT
  • F
    license
    A
    quality
    C
    maintenance
    Enables AI assistants to retrieve current weather conditions and forecasts for specified locations by geocoding places and pulling data from Open-Meteo, with optional natural-language summaries via Groq.
    1
    -
  • A
    license
    A
    quality
    C
    maintenance
    Provides Open-Meteo weather tools that return both structured forecast data for the model and a weather card (image link or text) for the user, plus geocoding of place names to coordinates. Requires no API key and works over stdio or streamable HTTP.
    2
    Mozilla Public 2.0
  • A
    license
    A
    quality
    B
    maintenance
    Enables AI assistants to look up live weather data, including current conditions and up to 16-day forecasts, by converting place names to coordinates and fetching data from the Open-Meteo API without requiring an API key.
    3
    65 npm
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables AI assistants to query French public open data through read-only tools: geocoding and reverse geocoding of addresses, company lookups by name, address, leader or SIREN, and commune listings by name, postcode or département. It wraps free, keyless government APIs (IGN Géoplateforme/BAN, Recherche d'entreprises/SIRENE, geo.api.gouv.fr) over stdio or Streamable HTTP with validated inputs and rate limiting.
    5
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    MCP server that wraps NVE's open GIS data to provide flood risk and landslide risk point lookups, with explicit uncertainty reporting (e.g., 'no data' vs 'safe') and source references.
    2
    55 npm
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    An MCP server that provides live geospatial data such as geocoding, POI search, isochrones, and area density from open data sources to LLM clients like Claude, Cursor, or Claude Code.
    6
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables AI tools to open the macOS Maps app and search for places or addresses through a single MCP tool, without requiring a Maps API key.
    1
    227 npm
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables answering business questions about Spanish places by resolving place names and returning population, household and income statistics down to municipality, district and census tract level from official INE data, cross-checked between sources with province, region and country benchmarks. Every figure is delivered with its publisher, dataset id, data year and retrieval date, alongside caveat checks for suppressed, stale, thin-sample or estimated values.
    13
    40 PyPI
    MIT