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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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    A FastMCP-powered server that connects Google Analytics 4 data to Claude Desktop with automatic OAuth 2.0 authentication, enabling users to access GA4 metrics, properties, and reports through natural language queries.
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    16
    MIT
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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 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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    A Model Context Protocol server that connects to Google Cloud services, allowing users to query logs, interact with Spanner databases, and analyze Cloud Monitoring metrics through natural language interaction.
    Last updated
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    Apache 2.0
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    A GCP-hosted MCP server for Google Analytics GA4 where each user logs in with their own Google account and queries are scoped to that user's permissions.
    Last updated
    Apache 2.0
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    Provides AI agents with read-only access to Google Search Console data, including search analytics, index coverage, and sitemap status. It enables users to query clicks, impressions, and ranking performance or check URL indexing status through natural language.
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    MIT
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    Enables AI agents to manage Google Tag Manager, Google Search Console, and Google Analytics (GA4) through unified access to tags, search performance data, URL inspection, sitemaps, and analytics reporting.
    Last updated
    ISC
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    Enables AI agents to interact with Google Analytics 4 data, providing tools for historical reporting, real-time activity monitoring, and property management. It supports secure service account authentication to access metrics like traffic summaries, user acquisition, and custom dimensions.
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    MIT
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    Universal database copilot for diagnostics, operations, and performance analysis via MCP and CLI.
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    Enables querying Margint per-customer AI margins and costs from MCP clients. Provides tools to list customers, drill into costs, check budgets, and view workspace-wide cost breakdowns.
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    MIT
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    AI development observability platform. It silently captures structured data from vibe coding sessions via MCP and codifies deviation patterns into project rules to make AI write better code. 100% local and zero runtime dependencies.
    Last updated
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    MIT