What authentication methods are supported?
API Key (base64 encoded), Basic Auth (username + password), and Cookie-based session authentication are supported, with API Key having highest priority.
Kibana MCP Server
@TocharianOU
基本信息
关于 Kibana MCP Server
MCP server for Kibana, Access search and manage Kibana in MCP Client.
Kibana MCP Server 配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-kibana": {
"command": "npx",
"args": [
"@tocharianou/mcp-server-kibana"
]
}
}
}Kibana MCP Server 工具
16Get Kibana server status with multi-space support
Execute a custom API request for Kibana with multi-space support
Search Kibana API endpoints by keyword
List all Kibana API endpoints as a resource list
Get details for a specific Kibana API endpoint
Get all available Kibana spaces with current context
Search for Kibana saved objects using Elasticsearch query syntax. This is a universal tool that can search across all saved object types (dashboard, visualization, index-pattern, search, config, lens, map, tag, canvas-workpad, canvas-element, etc.). IMPORTANT: You must specify the 'types' parameter - it is required by the Kibana API. PERFORMANCE TIPS: Always use 'fields' parameter to specify only needed fields (e.g., ['title', 'description']) for faster responses. Use 'perPage' 5-20 for optimal speed. PAGINATION: To get all results, make multiple requests with incrementing 'page' numbers (page=1, page=2, etc.) until you receive fewer results than 'perPage'. Don't stop at the first page - iterate through all pages for complete data. Returns formatted saved object information including type, title, description, and timestamps.
Get a single Kibana saved object by type and ID. This is a universal tool that can retrieve any type of saved object (dashboard, visualization, index-pattern, search, config, lens, map, tag, canvas-workpad, canvas-element, etc.) by its exact type and ID. Use this when you know the specific object you want to retrieve. PERFORMANCE: This is much faster than searching when you have the exact type and ID.
Bulk delete multiple Kibana saved objects by type and ID. This is a destructive operation that permanently removes saved objects (dashboard, visualization, index-pattern, search, config, lens, map, tag, canvas-workpad, canvas-element, etc.). WARNING: Deleted objects cannot be recovered. Use with caution. IMPORTANT: Objects that exist in multiple namespaces require the 'force' parameter to be deleted.
Create a new Kibana saved object (dashboard, visualization, index-pattern, search, config, lens, map, tag, canvas-workpad, canvas-element, etc.). This is a universal tool that can create any type of saved object by specifying the type and attributes. Each object type has specific attribute requirements. IMPORTANT: The 'title' field is required for most object types. Complex fields like panelsJSON, visState should be JSON strings.
Update a single Kibana saved object by type and ID. This performs a partial update - only the specified attributes will be changed, other attributes remain unchanged. Supports all saved object types (dashboard, visualization, index-pattern, search, config, lens, map, tag, canvas-workpad, canvas-element, etc.). IMPORTANT: Use version parameter for optimistic concurrency control to prevent conflicts.
Update multiple Kibana saved objects in a single operation. Each object can be of different types and will be partially updated (only specified attributes changed). Supports all saved object types (dashboard, visualization, index-pattern, search, config, lens, map, tag, canvas-workpad, canvas-element, etc.). PERFORMANCE: More efficient than multiple single updates. Each object can have individual version control.
Analyze dependency tree for a Kibana saved object (Dashboard, Visualization, etc.)
Analyze the impact of deleting or modifying a saved object (what will be affected)
Perform health check on a Dashboard to detect broken references, performance issues, etc.
Scan health status of all Dashboards in a space (returns summary report)
概览
What is Kibana MCP Server?
A Kibana MCP server implementation that allows any MCP-compatible client (such as Claude Desktop) to access your Kibana instance via natural language or programmatic requests. It is community-maintained and not an official Elastic product.
How to use Kibana MCP Server?
Install globally (npm install -g @tocharianou/mcp-server-kibana) or run with npx. Configure environment variables: KIBANA_URL (required) plus one of KIBANA_API_KEY, KIBANA_USERNAME+KIBANA_PASSWORD, or KIBANA_COOKIES. Integrate with Claude Desktop by adding the server configuration to the desktop config file, or run directly from the CLI. Optional variables include KIBANA_DEFAULT_SPACE, KIBANA_CA_CERT, KIBANA_TIMEOUT, MCP_TRANSPORT, MCP_HTTP_PORT, MCP_HTTP_HOST, and NODE_TLS_REJECT_UNAUTHORIZED.
Key features of Kibana MCP Server
- Dual transport modes: Stdio and HTTP
- Multiple authentication methods: API Key, Basic Auth, Cookie
- Multi-space support for enterprise Kibana environments
- SSL/TLS support with custom CA certificates
- Complete saved objects CRUD operations and bulk actions
- Analysis tools for object dependencies and dashboard health
Use cases of Kibana MCP Server
- Perform Kibana server status checks and list available spaces via natural language
- Search, create, update, and delete dashboards, visualizations, and other saved objects
- Analyze saved object dependencies and check deletion impact before removal
- Batch scan all dashboards for health issues
常见问题
How do I integrate this server with Claude Desktop?
Add a "kibana" entry to the `mcpServers` object in your Claude Desktop configuration file, specifying the `npx` command, the package name, and the required environment variables (KIBANA_URL and authentication).
Can I run the server over HTTP for remote access?
Yes, set `MCP_TRANSPORT=http` and optionally configure `MCP_HTTP_PORT` (default 3000) and `MCP_HTTP_HOST`. The server will expose endpoints at `http://<host>:<port>/mcp` and `http://<host>:<port>/health`.
Is this an official Elastic product?
No, this is a community-maintained project based on the official Elastic Kibana API documentation. It is not an official product of Elastic or MCP.
What Node.js version is required?
Node.js >= 18.0.0 is required to run the Kibana MCP Server.
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