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

Related MCP server: opensearch-dashboard-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