Elastic Agent Builder MCP

Overview

The Elastic Agent Builder MCP server is the recommended approach for Elasticsearch 9.2+ deployments and Serverless projects. It offers full access to built-in and custom tools, enabling AI agents to connect to Elasticsearch data through natural language conversations with advanced retrieval and analysis capabilities.

Features

Agent Builder Capabilities

• Built-in Tools: Pre-configured tools for common operations
• Custom Tools: Create specialized tools for your use cases
• Full Tool Access: Complete access to Elasticsearch functionality
• Natural Language: Conversational interface to your data

Search Operations

• Lexical Search: Traditional keyword-based search
• Semantic Search: Vector-based similarity search
• Hybrid Search: Combine lexical and semantic for best results
• Complex Queries: Multi-field, nested, and aggregated searches

Data Analysis

• Aggregations: Analyze data patterns and trends
• Time Series: Work with time-based data
• Geospatial: Location-based queries and analysis
• Machine Learning: Access Elasticsearch ML features

Advanced RAG

• Hybrid Retrieval: Lexical + semantic search
• Reranking: Improve result relevance
• Context Enhancement: Enrich results with metadata
• Citation Tracking: Link answers to source documents

Elasticsearch Platform

Search Engine

• Distributed search and analytics
• Real-time indexing and search
• Full-text search capabilities
• RESTful API

Data Platform

• JSON document storage
• Schema-free flexibility
• Automatic field mapping
• Nested and complex data types

Analytics

• Aggregation framework
• Time-series analytics
• Geospatial analytics
• Machine learning integrations

Use Cases

Enterprise Search

• Search across documents and databases
• Semantic understanding of queries
• Personalized search results
• Real-time index updates

Log Analytics

• Centralized log aggregation
• Real-time log search
• Pattern detection and alerts
• Performance monitoring

RAG Applications

• Build knowledge bases for AI
• Retrieve relevant context for LLMs
• Combine structured and unstructured data
• Explainable AI with source citations

Business Intelligence

• Real-time dashboards
• Data exploration and discovery
• Trend analysis and forecasting
• Custom analytics workflows

Version Compatibility

Elasticsearch 9.2+

• Agent Builder MCP (recommended)
• Full feature set
• Best performance and support

Earlier Versions

• elastic/mcp-server-elasticsearch
• Limited tool set
• Basic functionality

Integration

Works with AI assistants supporting MCP. Requires Elasticsearch 9.2+ or Elasticsearch Serverless. Configure with Elasticsearch credentials and endpoint URL.

Pricing

Elasticsearch offers various deployment options:

• Elastic Cloud: Managed service with usage-based pricing
• Self-Managed: Free basic license, paid for advanced features
• Serverless: Pay per search and storage

MCP server included with all Elasticsearch deployments.