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Kibana MCP Server

@ggilligan12

About Kibana MCP Server

MCP Server for Kibana SecOps

Basic information

Category

Other

License

MIT

Runtime

python

Transports

stdio

Publisher

ggilligan12

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "kibana-mcp": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "kibana-mcp",
        "."
      ]
    }
  }
}

Tools

8

Fetch security alerts

Add tags to alerts

Change alert status (open/acknowledged/closed)

Search detection rules

Get rule exception items

Add exceptions to rules

Create new exception lists

Link exception lists to rules

Overview

What is Kibana MCP Server?

A Model Context Protocol (MCP) server that integrates with Kibana Security, enabling AI assistants to manage security alerts, detection rules, and exception lists programmatically.

How to use Kibana MCP Server?

Clone the repository, build the Docker image, set environment variables (KIBANA_URL plus either KIBANA_API_KEY or KIBANA_USERNAME/KIBANA_PASSWORD), then configure your MCP client (e.g., Claude Desktop) to run the container. Alternatively, run locally with uv sync and uv run kibana-mcp.

Key features of Kibana MCP Server

  • Fetch security alerts via get_alerts
  • Tag alerts with tag_alert
  • Change alert status (open/acknowledged/closed)
  • Search detection rules with find_rules
  • Retrieve and add rule exception items
  • Create and associate shared exception lists

Use cases of Kibana MCP Server

  • Automating alert triage from an AI chat interface
  • Bulk updating alert statuses during incident response
  • Adding exception rules to suppress known false positives
  • Orchestrating rule management across multiple Kibana instances

FAQ from Kibana MCP Server

What authentication methods are supported?

You can authenticate using either a Kibana API key (recommended) or a username/password combination.

How do I configure the server for my MCP client?

Set KIBANA_URL and your credentials as environment variables, then add a Docker-based MCP server entry in your client configuration (e.g., Claude Desktop or Cursor). Direct credentials in the args are also supported.

Can I run the server locally without Docker?

Yes. Install dependencies with uv sync, set the required environment variables, and start the server with uv run kibana-mcp.

Is there a test environment provided?

Yes. The repository includes a testing/quickstart-test-env.sh script that starts a local Kibana/Elasticsearch instance preloaded with test data.

What tools does the server expose?

Eight tools: get_alerts, tag_alert, adjust_alert_status, find_rules, get_rule_exceptions, add_rule_exception_items, create_exception_list, and associate_shared_exception_list.

Comments

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