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Kibana Dashboard Builder

Enables AI agents to create and manage Kibana dashboards, Lens visualizations, and data views via the Kibana Saved Objects API. It allows for programmatically listing existing resources and assembling new visualizations into dashboards through natural language commands.

glama
Updated
Mar 7, 2026

Kibana Dashboard Builder — MCP Server

A Model Context Protocol (MCP) server that gives the Elastic Dashboard Architect AI agent the ability to create Kibana dashboards, Lens visualizations, and data views via the Kibana Saved Objects API.

Tools Exposed

ToolDescription
list_data_viewsList existing Kibana data views
create_data_viewCreate a new data view for an index
list_dashboardsList existing dashboards
get_dashboardGet a dashboard's full definition
create_lens_visualizationCreate a Lens visualization (bar, line, metric, donut, etc.)
create_dashboardAssemble visualizations into a dashboard

Deploy to Render.com (Free — 5 minutes)

  1. Push this repo to GitHub

    cd /path/to/kibana-mcp-server
    git init && git add . && git commit -m "Initial commit"
    gh repo create kibana-mcp-server --public --push
    
  2. Go to render.com → New → Web Service

    • Connect your GitHub repo
    • Render auto-detects render.yaml
  3. Set Environment Variables in Render dashboard:

    KIBANA_ENDPOINT        = https://your-cluster.kb.us-east-2.aws.elastic-cloud.com
    ELASTIC_API_KEY        = your-base64-api-key
    ELASTIC_CLOUD_ENDPOINT = https://your-cluster.es.us-east-2.aws.elastic-cloud.com
    
  4. Copy your Render URL (e.g. https://kibana-mcp-server.onrender.com)

  5. Update the Kibana MCP connector to point to your Render URL:

    curl -X PUT "https://your-cluster.kb.../api/actions/connector/YOUR_CONNECTOR_ID" \
      -H "Authorization: ApiKey YOUR_API_KEY" \
      -H "kbn-xsrf: true" \
      -H "Content-Type: application/json" \
      -H "elastic-api-version: 2023-10-31" \
      -d '{
        "name": "Kibana Dashboard Builder",
        "config": {"serverUrl": "https://kibana-mcp-server.onrender.com", "headers": {"Content-Type": "application/json"}},
        "secrets": {}
      }'
    
  6. Done. The Dashboard Architect agent now has a permanent, always-available backend.

Local Development

pip install -r requirements.txt
KIBANA_ENDPOINT=https://... ELASTIC_API_KEY=... python main.py

Architecture

Dashboard Architect (Kibana AI Agent)
  ↓  calls tools via
Kibana .mcp connector
  ↓  HTTP POST to
THIS SERVER (Render.com — permanent HTTPS URL)
  ↓  calls Kibana Saved Objects API
Kibana → creates dashboard, lens viz, data views

Also compatible with Claude Desktop, Cursor, VS Code via:

https://your-cluster.kb.../api/agent_builder/mcp

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