What authentication methods are supported?
You can authenticate using either a Kibana API key (recommended) or a username/password combination.
@ggilligan12
基本信息
MCP Server for Kibana SecOps
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"kibana-mcp": {
"command": "docker",
"args": [
"build",
"-t",
"kibana-mcp",
"."
]
}
}
}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
A Model Context Protocol (MCP) server that integrates with Kibana Security, enabling AI assistants to manage security alerts, detection rules, and exception lists programmatically.
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.
get_alertstag_alertfind_rulesYou can authenticate using either a Kibana API key (recommended) or a username/password combination.
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.
Yes. Install dependencies with `uv sync`, set the required environment variables, and start the server with `uv run kibana-mcp`.
Yes. The repository includes a `testing/quickstart-test-env.sh` script that starts a local Kibana/Elasticsearch instance preloaded with test data.
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`.
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