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Glama

Server Details

Global weather via Open-Meteo: forecast, ERA5 archive, marine, air quality, geocoding, elevation.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL
Repository
cyanheads/open-meteo-mcp-server
GitHub Stars
2

Glama MCP Gateway

Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.

MCP client
Glama
MCP server

Full call logging

Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.

Tool access control

Enable or disable individual tools per connector, so you decide what your agents can and cannot do.

Managed credentials

Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.

Usage analytics

See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.

100% free. Your data is private.
Tool DescriptionsA

Average 4.6/5 across 11 of 11 tools scored.

Server CoherenceA
Disambiguation5/5

Each tool targets a distinct Open-Meteo API endpoint (forecast, historical, climate, air quality, flood, marine, elevation, geocoding, data canvas). Descriptions and parameters clearly differentiate them, leaving no ambiguity.

Naming Consistency4/5

All tools share the 'openmeteo_' prefix and mostly follow a verb_noun pattern (e.g., 'get_forecast'), but two tools ('openmeteo_dataframe_describe' and 'openmeteo_dataframe_query') use a noun_verb pattern. This minor inconsistency prevents a perfect score.

Tool Count5/5

11 tools cover the major Open-Meteo APIs without redundancy. The count is well-suited for the server's purpose of providing diverse weather and climate data access.

Completeness5/5

The tool surface includes all essential weather/climate data types (forecast, historical, ensemble, marine, air quality, flood, elevation, geocoding) and adds data canvas querying for large datasets. No obvious gaps for typical use cases.

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