Octodet Elasticsearch Mcp

Created By

Octodet6 months ago

A complete Elasticsearch mcp server with many tools

Overview

Elasticsearch MCP Server Summary

Overview

The Octodet Elasticsearch MCP Server is a comprehensive Model Context Protocol (MCP) server that provides LLM-powered applications with full access to Elasticsearch operations. It serves as a bridge between AI assistants and Elasticsearch clusters through the standardized MCP interface.

Key Features

🔍 Complete Elasticsearch Operations

Full CRUD Operations: Create, Read, Update, Delete documents and indices
Advanced Search: Full Elasticsearch DSL query support with highlighting
Bulk Operations: Process multiple operations in a single API call for better performance
Query-Based Operations: Update or delete documents based on complex queries

🛠️ Cluster Management

Health Monitoring: Real-time cluster health information
Shard Management: Monitor and manage shard distribution
Template Management: Handle index templates and aliases
Index Administration: Create, delete, and manage indices with custom settings

🔧 16 Comprehensive Tools

List Indices - Browse all available indices with filtering
Get Mappings - Retrieve field mappings for indices
Search - Perform advanced searches with DSL queries
Get Cluster Health - Monitor cluster status
Get Shards - View shard information
Add Document - Insert new documents
Update Document - Modify existing documents
Delete Document - Remove specific documents
Update By Query - Batch update documents matching criteria
Delete By Query - Batch delete documents matching criteria
Bulk Operations - Execute multiple operations efficiently
Create Index - Set up new indices with custom configurations
Delete Index - Remove indices permanently
Count Documents - Count documents with optional filtering
Get Templates - Manage index templates
Get Aliases - Handle index aliases

Server Config

{
  "mcpServers": {
    "elasticsearch": {
      "command": "npx",
      "args": [
        "-y",
        "@octodet/elasticsearch-mcp"
      ],
      "env": {
        "ES_URL": "http://localhost:9200",
        "ES_API_KEY": "your_api_key",
        "ES_VERSION": "8"
      }
    }
  }
}

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