Skip to main content
Glama
sid-s-s

Kibana Log Analysis & API Dashboard MCP Server

by sid-s-s

Related Servers

Alternatives to Kibana Log Analysis & API Dashboard MCP Server

No user-submitted related servers found.

    Related Servers

    • A
      license
      B
      quality
      D
      maintenance
      Enables AI assistants to interact with Kibana dashboards, visualizations, and Elasticsearch data through read-only resources and executable tools for searching logs, exporting dashboards, and querying data.
      7
      10 npm
      3
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Enables AI assistants to search, analyze, and interact with Elasticsearch through natural language.
      18
      Apache 2.0
    • A
      license
      A
      quality
      C
      maintenance
      Enables LLM agents to search and analyze Elasticsearch logs for errors, detect recurring patterns, analyze error-rate trends, and retrieve full trace context through MCP tools.
      6
      MIT
    • -
      license
      Not graded
      quality
      Not graded
      maintenance
      Enables querying Elasticsearch logs from AI assistants using natural language, with optional SSH tunnel support.
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables MCP-compatible AI clients to search and retrieve Elasticsearch application logs through a provided search tool.
      Apache 2.0

    TDQS

    A3.7/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: searching logs, retrieving details, analyzing health, scanning APIs, and creating dashboards. No overlap between them.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case (e.g., search_logs, get_log_details), making them predictable and easy to distinguish.

    Tool Count5/5

    With 5 tools, the server is well-scoped for its dual focus on log analysis and API dashboard creation, without being too sparse or overloaded.

    Completeness4/5

    Core workflows are covered (search, details, health analysis, API discovery, dashboard creation), but minor gaps exist—e.g., missing tools for listing, updating, or deleting dashboards.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues