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    Enables AI assistants to search, analyze, and debug application API traffic captured by Tusk Drift, including HTTP requests, database queries, distributed traces, latency metrics, and error rates.
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    MIT
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    An MCP server that enables AI assistants to interact with Apache Airflow's REST API for DAG management, task monitoring, and system diagnostics. It provides comprehensive tools for triggering workflows, retrieving logs, and inspecting system health across Airflow 2.x and 3.x versions.
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    31
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    Apache 2.0
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    Real-time Claude.ai subscription awareness for AI coding assistants. Surfaces live utilization, forecasts limits, gates expensive operations, and measures real per-task cost.
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    MIT
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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 AI agents to the Lenx.ai social media monitoring API, enabling task management like listing, creating, and exporting monitoring data.
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    MIT
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    A read-only MCP server for AppDynamics that exposes 12 task-oriented tools to query applications, topology, metrics, snapshots, health rules, anomalies, events, alerting config, analytics events, and dependency maps via OAuth API-client credentials.
    Last updated
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    MIT
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    Enables real-time tracking of AI task starts and completions with integrated webhook notifications for monitoring activity. It allows users to log progress and send task-related event data to external services via configurable webhook URLs.
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    MIT
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    Lets your coding agent talk to the RunWhen platform — workspace chat, issues, SLXs, run sessions, and the Tool Builder — over the Model Context Protocol. Enables workspace chat with AI assistant, task authoring via Tool Builder, and direct data access to workspaces, issues, SLXs, run sessions, and more.
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    Apache 2.0
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    Enables monitoring and analysis of Ansible playbook executions through the Ara Records API. Provides real-time playbook monitoring, task progress tracking, and comprehensive access to Ansible execution data.
    Last updated
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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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    This MCP server provides AI assistants with full control over Celery task queues by exposing all Celery Flower REST API endpoints as tools. It enables monitoring workers, managing tasks, inspecting queues, and controlling worker pools in real-time through natural language.
    Last updated
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    MIT
  • A
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    An MCP server that wraps the Apache Airflow REST API, enabling clients to manage DAGs, monitor task instances, and handle workflows through a standardized interface. It provides comprehensive access to Airflow features including DAG runs, variables, connections, and XComs.
    Last updated
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    Enables fetching and analyzing Toggl time tracking data with intelligent parsing of Fibery entity references from task descriptions. Features smart caching, user filtering, and aggregated reporting to help track time spent on specific projects and entities.
    Last updated
  • F
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    A professional tool for automatically generating enterprise-standard tracking code for H5, mini-programs, and native applications. It streamlines event tracking for API calls, user clicks, and UI interactions while supporting JIRA integration for task-specific tracking.
    Last updated
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    Password-protected dashboard and Remote MCP observer for Codex work, recording concise task milestones via observe_start, observe_report, and observe_finish tools.
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  • F
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    Provides comprehensive macOS, Linux, and Windows system administration, diagnostics, and optimization tools including network inspection, security scanning, compliance auditing, database diagnostics, and structured DevOps task planning.
    Last updated