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URL: https://glama.ai/mcp/servers/integrations/kibana

⇱ Kibana | Glama

  • Why this server?

    Converts Sigma rules to Kibana query strings for use in Kibana dashboards.

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    Sigma detection rule writing, validation, and pySigma-based multi-backend conversion (Splunk, Elastic, Wazuh, Kibana) via 3 MCP tools and 3 Claude Code skills, backed by a 61-rule production corpus across 11 MITRE ATT\&CK tactic categories.
    Last updated
    3
    MIT

  • Why this server?

    Mentions that Kibana is accessible as part of the Elasticsearch cluster setup, though interaction is primarily through the Elasticsearch API

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    Facilitates interaction with Elasticsearch clusters by allowing users to perform index operations, document searches, and cluster management via a Model Context Protocol server and natural language commands.
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    Apache 2.0

  • Why this server?

    Offers access to Kibana as part of the OpenSearch integration, allowing users to visualize and explore data stored in OpenSearch through the Kibana interface.

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    A Model Context Protocol server implementation that enables natural language interactions with OpenSearch clusters, allowing users to search documents, analyze indices, and manage clusters through simple conversational commands.
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    Apache 2.0

  • Why this server?

    Enables AI assistants to interact with Kibana dashboards, visualizations, data views, and saved searches, with tools for executing searches, exporting dashboards, and querying Elasticsearch data through Kibana's REST API.

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    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.
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  • Why this server?

    Allows searching logs, performing aggregations, discovering indices, and browsing dashboards in Kibana/Elasticsearch via REST API.

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    MCP server for Kibana / Elasticsearch — log search, aggregations, index discovery, and dashboard browsing. Hits Elasticsearch REST API directly for log queries; falls back to Kibana Console proxy when no direct ES URL is configured. Supports ApiKey auth (best for agents), Basic auth, and anonymous access. All 5 tools are read-only (readOnlyHint: true). Returns structured JSON (outputSchema).
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  • Why this server?

    Provides access to Kibana instances through API endpoints, allowing users to search, view, and execute Kibana APIs. Supports operations like checking server status, managing saved objects, creating dashboards, handling cases, and accessing endpoint events through Kibana's API.

  • Why this server?

    Supports connection to Kibana as part of an Elasticsearch deployment through the Docker Compose setup, providing visualization and management capabilities for Elasticsearch data.

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    Provides an MCP protocol interface for interacting with Elasticsearch 7.x databases, supporting comprehensive search functionality including aggregations, highlighting, and sorting.
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    3
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    Apache 2.0

  • Why this server?

    Provides access to Kibana logs through KQL-based querying, supporting multi-index searches across 1.3+ billion logs, time-based filtering with timezone support, and AI-powered log analysis and summarization.

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    Provides seamless access to Kibana and Periscope logs through a unified API with KQL and SQL querying, AI-powered log analysis, and support for searching across 1.3+ billion logs in 9 indexes.
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  • Why this server?

    Provides Kibana status and plugin information via read-only API.

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    A production-oriented, read-only MCP server for secure ELK stack analysis, compatible with OpenClaw.
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