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649,985 tools. Updated 2026-10-10 23:42

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

  • Retrieve lecture notes, explanations, and learning objectives for any module. Use this to answer conceptual questions about course topics.
    Apache 2.0
  • Retrieve detailed AWS cost and usage data with individual resource-level granularity for EC2 instances, RDS databases, and S3 buckets to enable cost allocation, rightsizing analysis, and optimization opportunities.
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  • 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
  • Retrieve detailed specifications of WindAI's machine learning model including architecture, training data, and accuracy metrics to understand prediction methodology.
    MIT

Matching MCP Servers

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    An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.
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Matching MCP Connectors

  • About Bureau, the self-hosted office for AI agents: overview, FAQ search, roadmap, install.

  • Checks the structural integrity of translated resource dictionaries against a source dictionary y...

  • 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
  • Retrieve detailed information about a specific Godot resource by specifying its resource path, enabling project inspection and validation.
    MIT
  • Get info about a Godot resource by specifying its path. Access resource details for scene manipulation, node inspection, and runtime testing.
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  • Query structured training programs (learning paths) to retrieve metadata, enrollments, and student lists, with pagination and filters.
    MIT
  • Generate histograms to visualize data distribution and frequency patterns for analysis in machine learning research.
    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
  • Search Jina AI's official blog for articles about AI, machine learning, neural search, embeddings, and Jina products to find documentation, tutorials, announcements, and technical deep-dives.
    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
  • Extract a bounded static analysis from Nsight captures: stream shape, top calls, thread distribution, resource population, compatibility/security findings, and known limitations.
    MIT