F
licenseNot graded
qualityD
maintenanceProvides real-time weather, forecasts, historical data, and air quality for AI assistants via the Model Context Protocol.
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AirNow MCP Server
by prsantos-com
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TDQS
A3.6/5.0
Scored across 10 tools
Disambiguation5/5
Each tool has a clearly distinct purpose based on the combination of data type (e.g., contour maps, observations, forecasts), pollutant (e.g., ozone, PM2.5), location method (e.g., bounding box, lat-long, zip code), and time frame (e.g., current, historical). There is no overlap in functionality, making it easy for an agent to select the correct tool for a specific query.
Naming Consistency5/5
All tool names follow a consistent verb-noun pattern with hyphens, starting with 'get-' and including descriptive details like data type, location method, and parameters. This uniformity enhances readability and predictability, allowing agents to easily understand and navigate the tool set.
Tool Count5/5
With 10 tools, the server is well-scoped for air quality data retrieval, covering key operations such as current and historical observations, forecasts, and contour maps across different location methods. Each tool serves a specific purpose without redundancy, making the count appropriate for the domain.
Completeness5/5
The tool set provides comprehensive coverage for air quality data, including current and historical observations, forecasts, and contour maps for ozone and PM2.5, with multiple location inputs (lat-long, zip code, bounding box). There are no obvious gaps, as it supports all major data retrieval needs in this domain.
Maintenance
ActivityInactive
ResponsivenessNo issues