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426,771 tools. Updated 2026-08-09 21:00

"A resource for learning about geospatial data analysis" matching MCP tools:

  • Download and cache geospatial resources (SHP, KML, GeoJSON) into DuckDB with spatial support. Use force_refresh to re-download cached data.
    MIT
  • Query cached geospatial data using point, bounding box, or radius to find features that match the spatial criteria.
    MIT
  • Search the Dutch National GeoRegister for geospatial metadata, maps, and WMS/WFS services using spatial data topic keywords.
    Apache 2.0
  • Analyzes a repository to generate a Knowledge Extraction Report with architectural insights, design decisions, data flow, strengths, risks, and learning paths.
    MIT
  • Read a geospatial file to retrieve its key statistics and a preview of the data, enabling AI assistants to assess spatial datasets for further GIS operations.
    MIT

Matching MCP Servers

  • F
    license
    -
    quality
    C
    maintenance
    Provides comprehensive statistical analysis tools for industrial data including time series analysis, correlation calculations, stationarity tests, outlier detection, causal analysis, and forecasting capabilities. Enables data quality assessment and statistical modeling through a FastAPI-based MCP architecture.
    6

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  • Retrieve detailed information about a Panther data model, including Python body code and UDM mappings for security monitoring analysis.
    Python
    Apache 2.0
  • Query structured training programs (learning paths) to retrieve metadata, enrollments, and student lists, with pagination and filters.
    MIT
  • Register a public HTTPS video URL for analysis. The API ingests MP4 or QuickTime files up to 2 GiB, processes them asynchronously, and returns a ready video resource with an ID.
    MIT
  • Store root cause analysis, research sources, and fix details for an error incident to build an audit trail for learning from past fixes after investigating and deploying a solution.
    MIT
  • Retrieve lecture notes, explanations, and learning objectives for any module. Use this to answer conceptual questions about course topics.
    Apache 2.0
  • Append a learning entry to a skill's memory to retain insights for future runs. After completing a skill, capture what failed or could be improved, then store it as a concise note tied to that skill.
    MIT
  • Retrieve all instances of a Lifecycle Manager resource from Itential Platform, providing specific data and state information for managed network services and infrastructure components.
    GPL 3.0
  • Retrieve detailed documentation for any OpenTofu resource by specifying provider namespace, provider name, and resource name.
    Mozilla Public 2.0
  • Generate zero-shot forecasts for countries with limited data by applying regime-similarity transfer learning. Ideal for countries lacking long event history.
    MIT
  • Delete a learning record using its unique ID. First, use list_learnings to find the correct ID.
    Business Source 1.1