How do I install Kibana & Elasticsearch MCP Server?

Install via pip: pip install pip install kibana-mcp. Then configure your AI client to use this server.

What category is Kibana & Elasticsearch MCP Server?

Kibana & Elasticsearch is categorized under Monitoring & Observability. Browse more servers in these categories on MCPgee.

Kibana & Elasticsearch

Name: mshegolev/kibana-mcp
Author: mshegolev

v0.1.1•Monitoring & Observability•stable

MCP server for Kibana / Elasticsearch — log search, aggregations, index discovery, and dashboard browsing. Hits Elasticsearch REST API directly for log queries; falls back to Kibana Console proxy when no direct ES URL is configured. Supports ApiKey a

mshegolev-kibanamcpai-integration

Stars

Downloads

Weekly

0/5

View on GitHub

What is Kibana & Elasticsearch?

Kibana & Elasticsearch is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for kibana / elasticsearch — log search, aggregations, index discovery, and dashboard browsing. hits elasticsearch rest api directly for log queries; falls back to kibana console proxy when...

This server falls under the Monitoring & Observability category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

MCP server for Kibana / Elasticsearch — log search, aggregat

Use Cases

Log search and analysis

Aggregations and index discovery

mshegolev

Maintainer

LicenseMIT License

Languagepython

Versionv0.1.1

UpdatedApr 18, 2026

Statushealthy

Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

View Source Browse All Servers

Installation

PIP

pip install kibana-mcp

Manual Installation

pip install kibana-mcp

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms

ThroughputMedium

Resource Usage

Memory UsageLow

CPU UsageLow

Frequently Asked Questions about Kibana & Elasticsearch

What is Kibana & Elasticsearch?

Kibana & Elasticsearch is a Model Context Protocol (MCP) server that mcp server for kibana / elasticsearch — log search, aggregations, index discovery, and dashboard browsing. hits elasticsearch rest api directly for log queries; falls back to kibana console proxy when no direct es url is configured. supports apikey a It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Kibana & Elasticsearch?

Install via pip with: pip install kibana-mcp. Then configure your AI client to connect to this MCP server.

Which AI clients work with Kibana & Elasticsearch?

Kibana & Elasticsearch works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Kibana & Elasticsearch free to use?

Yes, Kibana & Elasticsearch is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.

Learn More About MCP Servers

Getting Started with MCP

Set up your first MCP server in minutes

MCP Setup Guide

Configure MCP in Claude, Cursor & VS Code

All MCP Tutorials

18+ hands-on guides for developers

MCP FAQ

40+ answers about Model Context Protocol

Kibana & Elasticsearch Alternatives — Similar Monitoring & Observability Servers

Looking for alternatives to Kibana & Elasticsearch? Here are other popular monitoring & observability servers you can use with Claude, Cursor, and VS Code.

Netdata

★ 78.9k

Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.

Kubeshark

★ 11.9k

eBPF-powered network observability for Kubernetes. Indexes L4/L7 traffic with full K8s context, decrypts TLS without keys. Queryable by AI agents via MCP and humans via dashboard.

Mission Control

★ 4.9k

Self-hosted AI agent orchestration platform: dispatch tasks, run multi-agent workflows, monitor spend, and govern operations from one mission control dashboard.

Grafana

★ 3.0k

This MCP server enables natural-language querying of Grafana logs by automatically detecting log sources and service labels. It provides read-only access to log data with intelligent caching for efficient repeat queries.

Sentrux

★ 2.4k

Real-time architectural sensor that helps AI agents close the feedback loop, enabling recursive self-improvement of code quality. Pure Rust.

OpenInference

★ 986

OpenTelemetry Instrumentation for AI Observability

Browse More Monitoring & Observability MCP Servers

Explore all monitoring & observability servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Monitoring & Observability Browse All Servers

Set Up Kibana & Elasticsearch in Your Editor

Choose your AI client for step-by-step setup instructions.

🖥️

Claude Desktop

macOS & Windows app

⌨️

Claude Code

CLI & terminal

📝

Cursor

AI-first code editor

💻

VS Code

GitHub Copilot MCP

🏄

Windsurf

Codeium AI editor

🔌

Cline

VS Code extension

Quick Config Preview

{
  "mcpServers": {
    "mshegolev-kibana": {
      "command": "pip",
      "args": ["install", "kibana-mcp"]
    }
  }
}

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use Kibana & Elasticsearch?

Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.

33,000+ ServersFree & Open SourceStep-by-Step Guides

Explore All Servers Read Our Guides