- Best for
- real-time earthquake data retrieval, earthquake event filtering, batch data retrieval for historical earthquakes
- Type
- MCP Server · Free
- Score
- 25/100
- Best alternative
- AWS MCP Servers
- Agent-compatible
- Yes — MCP protocol
Capabilities3 decomposed
real-time earthquake data retrieval
Medium confidenceThis capability allows users to fetch real-time earthquake data from the USGS API using a structured query format. It employs a model-context-protocol (MCP) architecture to facilitate seamless integration with various data consumers, ensuring that requests are efficiently processed and responses are delivered in a consistent format. The use of MCP enables the server to handle multiple concurrent requests while maintaining low latency.
Utilizes a model-context-protocol to optimize data retrieval and ensure compatibility with various client applications, unlike traditional REST APIs that may not support real-time updates effectively.
More efficient in handling concurrent requests compared to standard RESTful services due to its MCP architecture.
earthquake event filtering
Medium confidenceThis capability allows users to filter earthquake events based on specific criteria such as magnitude, location, and time range. It leverages a query parsing mechanism that interprets user-defined parameters and constructs appropriate API requests to the USGS service. This filtering process is designed to minimize data transfer by only retrieving relevant information, thus enhancing performance.
Incorporates a dynamic query construction approach that allows for flexible filtering based on user-defined parameters, which is often static in traditional API implementations.
More customizable than static query interfaces found in many API clients.
batch data retrieval for historical earthquakes
Medium confidenceThis capability enables users to retrieve historical earthquake data in bulk, allowing for comprehensive analysis over extended periods. It uses a pagination mechanism to handle large datasets efficiently, ensuring that users can access extensive historical records without overwhelming the server or client. The MCP architecture supports this by managing state across multiple requests seamlessly.
Employs an efficient pagination strategy that allows for the retrieval of extensive historical datasets without overloading the API, unlike many APIs that limit data access to smaller chunks.
More efficient in handling large data requests compared to traditional REST APIs that may impose strict limits on data retrieval.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓developers building applications that require live seismic data
- ✓data analysts looking to extract specific earthquake data for reports
- ✓researchers and data scientists analyzing seismic trends
Known Limitations
- ⚠Dependent on the availability and response times of the USGS API, which may vary.
- ⚠Filtering capabilities are limited to the parameters exposed by the USGS API.
- ⚠Large data requests may lead to slower response times due to pagination.
Requirements
Input / Output
UnfragileRank
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Repository Details
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MCP server: usgs-quakes-mcp
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