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Alternatives to serenedash

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    Related Servers

    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents to safely explore and diagnose remote servers by providing a read-only sandbox with controlled access to files, logs, Docker, and databases. It exposes MCP tools that allow natural-language investigation and direct command execution without write permissions.
      4
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents and developers to query traces, sessions, and exceptions for debugging and observability, alongside tools for prompts, datasets, annotation queues, scores, and metrics. Supports selective tool loading and a read-only mode for safer local access from any MCP client.
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents and developers to query traces, observations, sessions, and exceptions, plus prompts, datasets, annotation queues, scores, and aggregated metrics, for local debugging and observability from any MCP client. Supports selective tool-group loading to cut token overhead and a read-only mode that disables all write operations.
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    • A
      license
      C
      quality
      F
      maintenance
      A comprehensive read-only MCP server for Datadog, providing 117 tools to query logs, APM, metrics, monitors, dashboards, SLOs, and more, with zero write capabilities for safe AI integration.
      100
      1,326 npm
      2
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents and MCP clients to debug and observe LLM applications by querying traces, sessions, exceptions, prompts, datasets, scores, and metrics. Supports local stdio/HTTP access, selective tool loading, and read-only operation for safer observability workflows.
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents and MCP clients such as Claude Code, Codex, and Cursor to query and debug trace, session, and exception data locally, including route-decision analysis, metrics aggregation, prompts, datasets, and annotation queues. Offers selective tool loading and a read-only mode to control token overhead and write access.
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