Skip to main content
Glama
pedro-angel

mcp-for-kibana

by pedro-angel
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

Related Servers

Alternatives to mcp-for-kibana

No user-submitted related servers found.

    Related Servers

    • Kibana Dashboard Builder

      brienhackney
      F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents to create and manage Kibana dashboards, Lens visualizations, and data views via the Kibana Saved Objects API. It allows for programmatically listing existing resources and assembling new visualizations into dashboards through natural language commands.
      -

    • Kibana MCP Server

      jerrelblankenship
      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
      17 npm
      3
      MIT

    • opensearch-dashboard-mcp

      danilin-em
      A
      license
      A
      quality
      B
      maintenance
      Enables LLM clients to interact with OpenSearch Dashboards, including reading saved objects, listing tenants and index patterns, and querying logs through the Dashboards API.
      5
      MIT

    • kibana-mcp

      ggilligan12
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to manage Kibana security alerts, rules, and exception lists via the Model Context Protocol.
      13
      MIT

    • Elasticsearch MCP Server

      jesee
      A
      license
      B
      quality
      D
      maintenance
      Enables interaction with Elasticsearch clusters for health checks, index management, document CRUD operations, and search via natural language.
      10
      11 npm
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.9/5.0

    Scored across 16 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action: dashboards, panels, data views, saved objects, and short URLs are cleanly separated, and the ES|QL panel variants are distinguished by panel type. Where overlap could exist (add_panel vs the ES|QL-specific panel tools), the descriptions explicitly clarify when to use which.

    Naming Consistency5/5

    All tool names follow a consistent snake_case verb_noun pattern: search_dashboards, create_dashboard, add_panel, list_data_views, resolve_short_url, etc. The verb prefixes are uniform and predictable, making the tool set easy to navigate.

    Tool Count4/5

    16 tools is slightly above the ideal 3-15 range, but the breadth is justified by the multiple Kibana subsystems covered: dashboards, visualizations, data views, saved objects, and short URLs. Each tool has a clear role, so the count feels reasonable rather than bloated.

    Completeness3/5

    The core dashboard-building workflow is well covered, including create/read/update, panel management, data-view discovery, and saved-object transfer. However, there are notable gaps: no delete operations for dashboards, data views, visualizations, or short URLs, and no way to remove a panel from a dashboard.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources