AI Agent for Elasticsearch MCP
Seamlessly connect your agents to Elasticsearch data using the Model Context Protocol (MCP). The Elasticsearch MCP Server enables natural language interaction with your Elasticsearch indices, empowering teams to harness search, analytics, and data discovery using familiar conversational interfaces. Official support for Elasticsearch 8.x and 9.x ensures stability and broad compatibility for enterprise data workflows.
Conversational Access to Elasticsearch
Transform how you interact with Elasticsearch by enabling natural language queries and commands. The MCP Server bridges your Elasticsearch data to modern AI agents, automating search, mapping, and analytics tasks for faster, smarter business decisions.
- Natural Language Search.
- Perform advanced searches in Elasticsearch using everyday language, making data access intuitive for all users.
- Index Management.
- Effortlessly list, inspect, and manage indices and mappings directly through AI-driven conversations.
- Analytics & Reporting.
- Automate data analysis with ES|QL queries for quick insights and dynamic reporting.
- Secure Connections.
- Supports both API key and basic authentication, ensuring secure, compliant data access.
Flexible Deployment & Integration
Deploy the Elasticsearch MCP Server quickly using a simple Docker image. Integrate with leading MCP Clients like Claude Desktop or Goose for seamless AI workflows and real-time data access.
- Quick Docker Deployment.
- Spin up the MCP server in minutes using official Docker images, streamlining setup and scaling.
- Multi-Protocol Support.
- Supports stdio, streamable-HTTP, and SSE protocols for versatile agent integrations.
- Client Compatibility.
- Works out-of-the-box with popular MCP Clients, enhancing collaboration and productivity.
Advanced Elasticsearch Tools
Unlock the full potential of your Elasticsearch cluster. The MCP Server provides direct access to key tools like index listing, field mapping, searching, ES|QL querying, and shard inspection — all from your AI agent.
- Comprehensive Toolset.
- Access tools for listing indices, retrieving mappings, executing searches, and more — all via your agent.
- ES|QL Query Support.
- Run advanced ES|QL queries directly through the MCP Server to unlock actionable insights.
MCP INTEGRATION
Available Elasticsearch MCP Integration Tools
The following tools are available as part of the Elasticsearch MCP integration:
- list_indices
List all available Elasticsearch indices for exploration and integration.
- get_mappings
Get field mappings for a specific Elasticsearch index to understand its data structure.
- search
Perform an Elasticsearch search using query DSL to find relevant documents.
- esql
Perform an ES|QL query for advanced data retrieval and analytics.
- get_shards
Get shard information for all or specific indices to monitor data distribution.
Connect Elasticsearch to AI with MCP Server
Effortlessly bridge your Elasticsearch data to any MCP-enabled client for powerful natural language access, search, and analysis. Get started with our experimental Docker-based server today.
What is Elastic
Elastic is a leading company specializing in enterprise search, observability, and security solutions powered by Elasticsearch, its open-source, distributed search and analytics engine. Elastic provides tools for organizations to ingest, store, search, analyze, and visualize large volumes of data in real time. Their solutions are widely used for full-text search, log and event data analysis, application performance monitoring, threat detection, and more. Elastic’s platform, which includes Elasticsearch, Kibana, Beats, and Logstash (the Elastic Stack), enables businesses to gain actionable insights from their data, improve operational efficiency, and enhance security across their digital ecosystem. The Model Context Protocol (MCP) server for Elasticsearch is designed to connect AI agents or applications directly to Elasticsearch indices, enabling seamless querying and interaction with complex data using natural language.
Capabilities
What we can do with Elastic MCP server
The Elastic MCP server provides a robust interface for interacting with Elasticsearch data through natural language and agent-based integrations. Users can leverage the server to query, analyze, and retrieve information from Elasticsearch indices, automate data workflows, and build intelligent applications powered by real-time data. The MCP server is particularly useful for connecting modern AI agents and LLMs to enterprise data, making it easier to visualize insights, generate reports, and perform advanced analytics.
- Natural language querying
- Interact with Elasticsearch indices using conversational or natural language commands.
- Real-time data retrieval
- Access and retrieve up-to-date information from large-scale datasets instantly.
- Agent integration
- Seamlessly connect AI agents and LLMs to Elasticsearch for enhanced data-driven capabilities.
- Automated analytics
- Enable automated workflows for data analysis, trend detection, and reporting.
- Secure data interaction
- Ensure secure, permission-based access and interaction with sensitive enterprise data.
How AI Agents Benefit from Elastic MCP Server
AI agents can significantly enhance their capabilities by integrating with the Elastic MCP server. By leveraging the MCP server’s natural language interface and real-time data access, AI agents can perform complex queries, summarize large datasets, and deliver actionable insights without requiring deep technical knowledge of Elasticsearch. This integration streamlines the process of building intelligent systems that respond dynamically to business data and user queries, empowering organizations to scale their AI solutions efficiently and securely.