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"A platform for managing YouTube channel content and analytics" matching MCP servers:

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    Enables detection of AI-generated content from ChatGPT, GPT-4, and Gemini models through the BACH AI Content Detector API.
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    MIT
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    An MCP-powered AI agent that audits your Gmail for recurring subscriptions, detects silent price increases, and flags unused services.
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    Enables AI assistants to query, analyze, and discover FileMaker database schemas via OData v4, with pandas-powered analytics for efficient data summaries.
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    GPL 3.0
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    Enables interaction with the Kion platform for cloud cost management, governance, and compliance through natural language.
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    MIT
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    Unofficial MCP server wrapping crawl4ai that enables extraction and analysis of content from web pages, PDFs, Office documents, YouTube videos, and more, with AI-powered summarization and Google search integration to reduce token usage while preserving key information.
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    MIT
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    Provides LLM access to the Event Monitoring System (EMS) API for comprehensive flight data analytics and monitoring. It enables users to query flight records, retrieve time-series analytics, and explore aircraft assets or database hierarchies.
    10
    MIT
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    A FastMCP-based server providing a comprehensive toolset for the RunningHub AI application platform. It enables users to configure nodes, upload media, submit AI tasks, and manage task execution and results through persistent storage.
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    2
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    MCP server for managing a media server stack (Plex, Radarr, Overseerr, Bazarr, Prowlarr, Trakt.tv) using natural language to browse, request, and discover content.
    12
    MIT
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    AI-powered emergency coordination platform built with NitroStack MCP to accelerate disaster response through intelligent planning, resource orchestration, and real-time operational insights.
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    Enables AI assistants to interact with the ReliaQuest GreyMatter platform via 146 tools across 22 domains for incident response, playbooks, cases, and more, including a generic graphql_query escape hatch.
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    MIT
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    PhysBound is a specialized "Physics Linter" for AI that deterministically validates RF and thermodynamic claims against hard physical limits, preventing hallucinations in engineering workflows.
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    MIT
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    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
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    Apache 2.0