Elasticsearch Official MCP Server
Install NowSearch, retrieve, and analyze Elasticsearch data in developer and agentic workflows
Search, retrieve, and analyze Elasticsearch data in developer and agentic workflows
Elasticsearch search, retrieve, and analyze elasticsearch data in developer and agentic workflows. The official Elasticsearch MCP server provides AI agents with standardized access to Elasticsearch's services, enabling powerful automation and integration capabilities that enhance developer productivity and streamline workflows.
This official MCP server is maintained and verified by Elasticsearch, ensuring reliability, security, and up-to-date functionality. Unlike community-maintained servers, this official integration provides long-term support, comprehensive documentation, and direct vendor assistance. The server is hosted on elastic.co, guaranteeing secure and reliable access to Elasticsearch's services.
Whether you're building AI-powered applications, automating workflows, or enhancing your development tools, the Elasticsearch MCP server provides a standardized way to connect AI agents with Elasticsearch's extensive platform capabilities. This integration enables natural language interactions with Elasticsearch, making it easier than ever to leverage Elasticsearch's features through AI assistants like Claude, ChatGPT, and Cursor.
https://{KIBANA_URL}/api/agent_builder/mcpThe official Elasticsearch MCP server enables AI agents to:
These capabilities make it easy for AI agents to work with Elasticsearch as part of a larger automation strategy, enabling seamless integration between AI assistants and your existing tools.
The Elasticsearch MCP server provides 3 tools for AI agents to interact with the platform. Use the search below to find specific tools.
| Tool Name | Description |
|---|---|
agent_builder_tools | Access Elastic Agent Builder tools including built-in and custom tools for chat and workflows |
esql_query | Execute ES|QL queries against Elasticsearch data |
index_search | Search Elasticsearch indices through Agent Builder tools exposed via MCP |
Last updated: January 29, 2026 at 12:00 PM
AI agents can use the Elasticsearch MCP server to automate repetitive tasks and manage workflows within Elasticsearch's platform.
The MCP server allows AI agents to query and retrieve data from Elasticsearch, enabling intelligent data analysis and insights.
Developers can integrate Elasticsearch capabilities directly into their AI coding assistants for seamless workflows.
Visit https://elastic.co, create an account, and generate an API key from your dashboard. Most tools offer a free tier to get started, making it easy to begin using the Elasticsearch MCP server.
Yes, this MCP server is officially provided and maintained by Elasticsearch. The endpoint https://{KIBANA_URL}/api/agent_builder/mcp is hosted on their official domain elastic.co, ensuring reliability and security.
The Elasticsearch MCP server requires appropriate API credentials and permissions based on the operations you want to perform. Check the documentation for specific permission requirements.
Yes, you can configure the same MCP server across Cursor, Claude Desktop, Cline, and other MCP-compatible clients simultaneously. Each client maintains its own configuration.
The MCP server itself is free to use, but you may need a Elasticsearch account and API access, which may have its own pricing tiers. Check https://elastic.co for current pricing information.
The Elasticsearch MCP server enables AI agents to search the web and retrieve information. Search, retrieve, and analyze Elasticsearch data in developer and agentic workflows This allows you to interact with Elasticsearch's platform through natural language commands in your AI assistant.
Ensure your API key is correctly configured and your network allows outbound connections to elastic.co. Verify that the MCP endpoint URL https://{KIBANA_URL}/api/agent_builder/mcp is accessible from your network.
Verify your API key is valid and has not expired. Generate a new key from https://elastic.co if needed. Make sure you're using the correct authentication method as specified in the documentation.
Check Elasticsearch's status page for any ongoing incidents. Try restarting your MCP client and verify that the server endpoint is correct. If issues persist, consult the official documentation or support channels.
Explore other official MCP servers that work well with Elasticsearch:
The Model Context Protocol (MCP) is an open standard that enables AI models to securely connect to external APIs, tools, and data sources. This official MCP server from Elasticsearch provides standardized access to their services, allowing AI agents to interact with Elasticsearch's platform seamlessly.
To manage all your MCP servers in one place, use Apigene's MCP Gateway, which provides centralized management, security, and governance for all your MCP server connections.
Learn more about MCP in our complete guide or browse our FAQ for common questions.