Process seismic waveforms and run seismology analysis with natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "seismo-mcp" yet — see the docs or source repo.
Use ObsPy to read this seismic waveform dataset, perform basic preprocessing, and explain the purpose of each step.
Returns waveform processing results and explains the reading and preprocessing steps.
Use SAC to perform common analysis on this seismic record and tell me what operations you executed.
Provides SAC-based analysis results and lists the processing operations performed.
Use PyGMT to visualize the processed seismic data and provide an interpretation of the charts.
Generates relevant visualizations with a brief explanation of the charts.
Seismology researchers can use natural language to invoke tools like ObsPy and SAC for waveform processing, reducing manual scripting. It is suitable for basic preprocessing and exploratory analysis.
Teachers or students can carry out seismic waveform processing and analysis through conversation, making it easier to understand the toolchain and workflow. It fits classroom demos and beginner learning.
Users can leverage software such as PyGMT to turn processed seismic data into visual outputs for easier inspection and interpretation. This is useful when results need to be reviewed quickly.
It is an MCP tool that connects AI assistants to seismology software. Users can process seismic waveforms and run analysis through natural language instead of writing code.
The provided description says it can connect to ObsPy, CWP/SU, SAC, and PyGMT. For the full support scope and details, see the source repository.
According to the description, its goal is to let users process and analyze seismic data through natural language instead of writing code. For installation and runtime prerequisites, see the source repository.
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