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How to Use the Kibana MCP in Claude

Run Kibana search queries and manage space configurations right inside Claude Desktop using this MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

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Claude Desktop

Connect Kibana MCP to Claude Desktop

Create your Vinkius account to connect Kibana to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Build Spaces and Manage Views in Claude Desktop

This Kibana MCP Server uses `create_space` and `create_data_view` to set up isolated environments directly from your Claude Desktop chat window. Claude Desktop executes these commands locally, giving you immediate control over your index patterns and organizational boundaries without opening a browser tab. You ask your local Claude Desktop app to provision a new Kibana workspace for an incoming team. It fires off the requests, builds the index associations, and returns the exact configuration state using `get_space`.

Bulk Import and Migrate Saved Objects

The server calls `import_saved_objects` and `bulk_create_saved_objects` to migrate dashboards and visualizations across your environments. Instead of manually uploading NDJSON files through the UI, you drag them into Claude Desktop and let the agent handle the Kibana payload. When conflicts pop up during a Kibana migration, the Claude Desktop agent uses `resolve_import_errors` to fix broken references on the fly. You watch the live output in your chat window as your dashboards rebuild themselves.

Monitor Alerting Rules and Agent Policies

This integration relies on `create_rule` and `list_agent_policies` to audit your alerting thresholds and fleet deployments. Your agent parses the active rules, identifies misconfigured thresholds, and updates them using `update_rule`. Claude Desktop calls `get_agent` and displays the Kibana host status directly in your conversation history. You don't have to click through dozens of Fleet menus to check on a silent Elastic Agent; instead, ask Claude Desktop to get the status.

Setup guide

Set up Kibana MCP in Claude Web or Desktop

  1. 1

    Open Claude Settings

    Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

  2. 2

    Add Custom Connector

    Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

  3. 3

    Start a conversation

    Open a new chat. The Kibana MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Kibana MCP in Claude Desktop

Run the `resolve_import_errors` tool directly from the chat interface. Your agent inspects the failed import payload, identifies missing index patterns, and prompts you to map them to an existing data view.
Yes. Add the server to your `claude_desktop_config.json` file, then ask the agent to run `create_space` with your target ID and name.
Absolutely. The agent executes `bulk_get_saved_objects` and `bulk_update_saved_objects` to modify multiple visualizations in a single step.
The agent uses `create_short_url` to generate shareable links for specific dashboard states. It then pastes the link directly into your chat window so you can share it with your team.
Your connection details remain in your local config file. The server only transmits metadata like saved object structures, alerting rule configurations, and space IDs through local stdio transport.

Start using the Kibana MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 55 tools

We've already built the connector for Kibana. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 55 tools are live and waiting. You're up and running in seconds.

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