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"Tools and methods for analyzing Google Sheets data" matching MCP servers:

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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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    An MCP server that gives AI assistants the ability to connect to, query, profile, and monitor data sources — turning any LLM into an interactive data engineering copilot.
    MIT
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    Governed AI-ops for Ceph, providing root-cause health analysis and guarded destructive operations via a built-in governance harness with risk tiers, audit, and undo recording.
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    MIT
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    Provides MCP tools for governed multi-vendor network device operations, including configuration management (backup, diff, merge, replace, rollback) and read-only queries (facts, interfaces, BGP, LLDP, ARP) via NAPALM, with optional NetBox source-of-truth integration.
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    MIT
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    Enables LLMs to interact with Google Analytics Admin and Data APIs to retrieve account summaries, property details, and custom metrics. It allows users to run core and real-time reports to analyze website performance and configuration via natural language.
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    Apache 2.0
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    Query Google Search Console search analytics, inspect URL indexing status, manage sitemaps, and analyze keyword performance. 13 tools covering search queries, page performance, sitemap management, and index coverage.
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    MIT
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    Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.
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    Apache 2.0
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    An MCP server for managing and monitoring Docker, Docker Compose, and Kubernetes environments alongside Azure Application Insights. It enables advanced log filtering, container lifecycle management, and querying of cloud application traces and metrics.
    7
    MIT
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    Enables LLM applications to query Google Analytics 4 data through standard MCP interfaces, supporting real-time data, custom reports, and metadata discovery.
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    MIT
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    Enables managing Google Analytics 4 properties, data streams, conversions, and running reports using natural language through the Admin and Data APIs.
    23
    MIT