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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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    A comprehensive MCP server providing advanced Redmine project analytics, web automation via Playwright, and iTunes music integration. It enables detailed tracking of sprint metrics, bug counts, and team performance through a token-optimized tool architecture.
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    Enables managing and debugging Azure Logic Apps through natural language, with tools for listing, debugging, creating, updating, and deleting workflows.
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    MIT
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    Enables AI assistants to automatically inspect and analyze application runtime log files for debugging and troubleshooting. Supports monitoring multiple log directories simultaneously with tools for listing, reading, searching, and paginating through log files.
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    MIT
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    A Model Context Protocol server that provides network packet capture and analysis capabilities through Wireshark/tshark integration, enabling AI assistants to perform network security analysis and troubleshooting.
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    MIT
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    Enables interacting with Bugsnag to investigate and resolve errors via natural language. Supports browsing organizations, projects, errors, stacktraces, and exception chains.
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    Integrates GlitchTip error monitoring with AI assistants to fetch, analyze, and debug production errors. It enables users to list issues, retrieve event details, and perform guided triage of application errors through natural language.
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    MIT
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    This MCP server enables real-time debugging and inspection of running React Native apps, providing access to console logs, errors, network requests, navigation state, storage, and performance profiling.
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    MIT
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    Forwards browser console errors, warnings, and unhandled rejections to Claude Code via MCP, enabling natural language debugging.
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    MIT
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    Exposes VS Code diagnostic problems like errors and warnings in real-time to AI agents via the Model Context Protocol. It enables AI tools to see compilation and linting issues directly from the problems panel to provide context-aware debugging and automated fixes.
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    MIT
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    Enables troubleshooting of LDAP directory services through natural language queries, providing health diagnostics, replication status, performance metrics, log analysis, and configuration comparisons across multiple servers.
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    GPL 3.0
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    Enables AI assistants to interact with Veeam Backup & Replication infrastructure through natural language, allowing monitoring, management, and troubleshooting of backup jobs, sessions, and restore points.
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    MIT