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    MCP server exposing Radarr's v3 REST API as tools, enabling LLMs to read and manage movies, downloads, history, indexers, and more.
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    MIT
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    Monitors Notion databases in real-time to detect project risks, such as delayed engineering tasks overlapping with marketing campaign launches. It automatically generates alerts in a Notion Alert Center and allows users to perform on-demand risk analysis through Claude.
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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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    An MCP server for tracking and managing AI command usage history using a PostgreSQL database. It enables users to log, search, and view statistics for various AI-related commands and their execution contexts.
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    Provides general-purpose utility tools for Computer Agent ecosystem integration, including meeting data downloads from Read.AI platform and server status monitoring. Currently supports basic utility operations with planned expansion for more productivity tools.
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    Exposes the Sonarr v3 REST API as MCP tools, enabling LLMs to read and manage a Sonarr instance including series, episodes, downloads, history, and more. Supports both read and write operations, with destructive tools flagged.
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    MIT
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    MCP server that exposes qui's JSON REST API as tools for monitoring and managing qBittorrent instances, torrents, automations, cross-seeding, RSS, backups, and related services.
    100
    MIT
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    A specialized diagnostic framework that enables AI models to self-diagnose and fix MCP-related issues by analyzing logs, validating configurations, testing connections, and implementing solutions.
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    MIT
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    Monitor the real-time status of 200+ popular APIs and services. Check if services like GitHub, Stripe, AWS, and Slack are experiencing outages or degraded performance directly from your AI assistant.
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    Provides secure access to the LogicMonitor API, enabling AI assistants to manage monitoring infrastructure through natural language commands.
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    Mozilla Public 2.0
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    A Model Context Protocol (MCP) server for Grafana. This provides access to your Grafana instance and the surrounding ecosystem.
    3,356
    Apache 2.0
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    Enables AI assistants to interact with self-hosted Dynatrace Managed environments to retrieve observability data, security insights, and performance metrics. It allows users to query problems, logs, events, and SLOs through natural language interfaces in both local and remote modes.
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    Apache 2.0
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    A read-only MCP server for the Auralogs logging platform, enabling AI agents to query production logs, search errors, and retrieve AI analyses without write access. It allows you to ask your coding assistant 'what's broken in production right now?' by connecting to your logs via a simple bearer auth key.
    MIT
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    Provides access to Prometheus metrics and queries, allowing AI assistants to execute PromQL queries and analyze metrics data through standardized MCP interfaces.
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    Enables MCP-compatible agents to interact with Grafana instances for searching, creating, and updating dashboards, exploring logs via Loki, querying datasources, managing alerts, incidents, and on-call shifts, and accessing observability data.
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    Apache 2.0
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    MCP server for Umami Analytics that provides read-only tools to query website stats, events, sessions, reports, and more, enabling natural language analytics queries.
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    Enables AI agents to interact with the Honeybadger error monitoring service to list, filter, and analyze fault data. It provides tools for fetching error lists and retrieving detailed fault information from Honeybadger projects.
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    MIT