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    An MCP server that enables LLMs to search, fetch, and act on Google Workspace (Drive, Gmail, Docs, Sheets, etc.) with rich, one-call results and file deposits to disk, reducing context usage.
    3
    MIT
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    MCP server for Microsoft Sentinel. Enables access to Sentinel logs, incidents, analytics, and Entra ID data via a modular, queryable interface. Strictly non-production. Designed for use with Claude and other LLMs.
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    MIT
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    Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.
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    Apache 2.0
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    MCP server that migrates Amazon Quick Suite resources (Spaces, Chat Agents, Action Connectors, and S3 Knowledge Bases) between AWS accounts, preserving permissions and linkages, with idempotency and preview dry-run support.
    MIT No Attribution
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    Provides read-only access to Umbrella Cost finops platform, enabling natural language querying of multi-cloud cost data, optimization recommendations, anomaly detection, and budget tracking across AWS, Azure, and GCP.
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    Enables satellite imagery analysis through Google Earth Engine, allowing users to search datasets, calculate vegetation indices like NDVI, filter collections by location and date, and export imagery to cloud storage. Supports major satellite datasets including Sentinel-2, Landsat, and MODIS for applications like agriculture monitoring and deforestation tracking.
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    Enables AI to dynamically search, describe, and execute 2000+ ZStack Cloud APIs, plus query monitoring metrics and data.
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    MIT
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    An MCP server for managing Cloudron instances that enables monitoring and controlling self-hosted applications, backups, and infrastructure. It provides tools for listing installed apps, retrieving system status, and performing administrative tasks through the Model Context Protocol.
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    MIT
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    Enables diagnostics and troubleshooting of OpenShift clusters through storage analysis, resource monitoring, GPU utilization tracking, and pod health checks using Prometheus metrics and the oc CLI.
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    Enables management of Railway.app infrastructure through natural language, including deploying services from GitHub repos or Docker images, managing environment variables, monitoring deployments, and configuring networking and volumes.
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    MIT