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    🔌 Complete MCP server for Zabbix integration - Connect AI assistants to Zabbix monitoring with 40+ tools for hosts, items, triggers, templates, problems, and more. Features read-only mode and comprehensive API coverage.
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    GPL 3.0
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    Enables inspection and management of Apache Airflow DAGs, runs, and logs across multiple instances. It provides tools for monitoring workflows and performing gated write operations like triggering DAGs or clearing task instances.
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    Apache 2.0
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    Bridges Claude (or any MCP client) to manufacturing data via the i3X standard, enabling natural language queries about equipment status, hierarchy, and historical trends.
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    MIT
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    Enables AI assistants to analyze weld photos for quality scoring and identify common defects like porosity or undercut. It provides practical bead-building tips and technical guidance for MIG, TIG, and Stick welding processes based on AWS/ASME standards.
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    Enables interaction with Google Analytics 4 to manage accounts, run standard or realtime reports, and validate event parameters. It supports dual authentication methods and integrates with GTM for end-to-end data collection orchestration.
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    Diagnoses why a FiveM server or resource is broken by scanning local configs, manifests, and logs, returning ranked findings with evidence. It can also propose and apply low-risk text fixes when enabled.
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    MIT
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    A server that enables AI assistants to access and query Grafana dashboards, metrics, logs, and configurations through an MCP protocol interface.
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    MIT
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    Model Context Protocol (MCP) Server for Vunet vuSmartMaps - A multi-tenant observability platform integration. Query metrics, traces, logs, and data models from your Vunet tenants using natural language through AI assistants like Claude, GitHub Copilot, or any MCP-compatible client.
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    MIT
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    Enables interaction with Qinglong Panel (青龙面板) to query, execute, and monitor scheduled tasks and subscriptions, including viewing task lists, running tasks synchronously or asynchronously, retrieving execution logs and status.
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    Apache 2.0
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    Exposes DataFast analytics as tools for AI assistants, enabling natural language queries about website metrics such as visitors, referrers, revenue, and real-time data.
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    MIT
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    Enables monitoring and analysis of local application log files with real-time tailing, error tracking, and search capabilities. Perfect for debugging Node.js applications, web servers, or any application that writes to log files through natural language commands.
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    Provides read-only access to HackerOne reports, program scopes, and bounty earnings through the HackerOne API. It enables users to analyze hunting patterns, check asset eligibility, and retrieve report details or triage conversations via natural language.
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    MCP server for Plausible Analytics, enabling querying of traffic, conversions, sources, and device breakdowns from any MCP-compatible AI assistant.
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    MIT