HomeMarketplace

Elasticsearch MCP Integration - AI Agent Tools

Connect Elasticsearch with AI agents using Model Context Protocol (MCP). Seamlessly integrate Elasticsearch tools and actions into Claude, Cursor, Windsurf, and other AI applications for enhanced workflow automation.

Features

  • Easy MCP setup with one command
  • Compatible with Claude, Cursor, Windsurf
  • 3+ available tools and actions
  • Built-in authentication and security
  • Real-time synchronization
  • No coding required

Category

Search tools for AI automation

Setup Instructions

Install Elasticsearch MCP server in minutes. Choose your AI platform: Cursor, Claude Desktop, Windsurf, or use HTTP endpoint for custom integrations. Follow our step-by-step guide to connect Elasticsearch with your AI agent.

Benefits

  • Automate Elasticsearch workflows with AI
  • Increase productivity with AI-powered Elasticsearch operations
  • Seamless integration with popular AI platforms
  • Enterprise-grade security and reliability
  • 24/7 support and documentation

Related Integrations

Explore other MCP integrations: Gmail MCP, Notion MCP, GitHub MCP, Linear MCP, Slack MCP, Google Sheets MCP, and 100+ more AI agent tools.

Elasticsearch
Elasticsearch

Elasticsearch is a distributed, RESTful search and analytics engine capable of addressing a growing number of use cases. It provides real-time search and analytics for all types of data.

VerifiedComposioComposio Managed
Users
6801
Tools
3
Last Updated
12h ago

Category

Search

6801VIEWS
2681USERS

Tools

Page 1 of 1

Get Index Schema

Tool to get the complete schema/mapping of a specific elasticsearch index. use when you need to understand the structure, field types, and mappings of an index.

List Indices

Tool to list all available elasticsearch indices. use when you need to get a list of indices in your elasticsearch cluster, optionally filtering by pattern, health status, or other criteria.

Query Index

Tool to query an elasticsearch index with various filters, time ranges, and pagination support. use when you need to search for documents in an index with complex filtering criteria.