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    Enables AI agents to query PostHog analytics data directly via tool calls, including insights, events, feature flags, trends, and persons.
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    MIT
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    Enables interaction with the Observe platform through OPAL query execution, worksheet data export, dataset management, and monitor operations. Provides AI-powered troubleshooting assistance through vector search across documentation and specialized runbooks.
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    AI-agent observability server whose distinguishing feature is a SHA-256 hash-chained, tamper-evident audit log with chain verification and signed export. Works with Claude Desktop, Cursor, and any MCP client.
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    MIT
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    An MCP server for streaming and searching macOS Console.app and iOS device logs, enabling real-time log access and debugging through natural language.
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    DebugBundle helps AI agents investigate production incidents with deterministic debug bundles, reproductions, health checks, and diagnostics. It exposes incident inspection, bundle retrieval, and ops management tools over MCP.
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    AGPL 3.0
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    Monitors macOS pasteboard activity, recording clipboard generations and exposing event history, declared UTIs, and flavor fetch/paste-test tools via an MCP server. Enables AI agents to diagnose clipboard-transfer issues across machines by comparing what each side saw.
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    MIT
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    Connects AI coding assistants to Shipbook for investigating issues using real application logs with error classification, log search, and session tracing.
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    MIT
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    Enables interaction with Sentry's error tracking and monitoring tools through a unified API, allowing natural language access to Sentry services.
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    MIT
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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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    A lightweight npm MCP server for deep Redis diagnostics, offering tools for memory, slowlog, clients, keyspace, latency, and config analysis with AI-powered recommendations.
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    38
    MIT