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Kibana Dashboard Builder

by brienhackney
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python

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

Tool

Description

list_data_views

List existing Kibana data views

create_data_view

Create a new data view for an index

list_dashboards

List existing dashboards

get_dashboard

Get a dashboard's full definition

create_lens_visualization

Create a Lens visualization (bar, line, metric, donut, etc.)

create_dashboard

Assemble visualizations into a dashboard

Related MCP server: kibana-mcp

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

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

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