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Elasticsearch MCP Server

by awesimon

MCP Server for connecting to your Elasticsearch cluster directly from any MCP Client. It allows you to interact with your Elasticsearch indices through natural language conversations.

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What is Elasticsearch MCP Server?

The Elasticsearch MCP Server connects agents to your Elasticsearch data using the Model Context Protocol. It enables interaction with Elasticsearch indices through natural language conversations via MCP Clients.

How to use Elasticsearch MCP Server?

  1. Configure your MCP Client (e.g., Claude Desktop, Cursor) with the server details (command, arguments, environment variables for Elasticsearch connection). 2. Start a conversation in your MCP Client and ask questions about your Elasticsearch data. The MCP Server will handle the Elasticsearch operations based on your queries.

Key features of Elasticsearch MCP Server

  • Cluster Management (health status)

  • Index Operations (list, create, reindex)

  • Mapping Management (get, create/update)

  • Search & Data Operations (search, bulk)

  • Template Management (create, get, delete)

Use cases of Elasticsearch MCP Server

  • Querying Elasticsearch data using natural language

  • Automating Elasticsearch index and mapping management

  • Integrating Elasticsearch with AI agents and conversational interfaces

  • Debugging and analyzing Elasticsearch requests with MCP Inspector

FAQ from Elasticsearch MCP Server

What is an MCP Client?

An MCP (Model Context Protocol) Client is an application that can connect to MCP Servers and interact with data sources using natural language. Examples include Claude Desktop and Cursor.

What prerequisites are needed to use Elasticsearch MCP Server?

You need an Elasticsearch instance, Elasticsearch authentication credentials (API key or username/password), and an MCP Client.

How do I configure the Elasticsearch connection?

You configure the connection using environment variables such as ES_HOST, ES_API_KEY, ES_USERNAME, ES_PASSWORD, and ES_CA_CERT.

Can I use this server for local development?

Yes, the README provides instructions for local development, including setting up the environment, building the project, and running it with Claude Desktop or Cursor.

What kind of queries can I use?

You can use natural language queries for cluster management, index operations, mapping management, search and data operations, and template management. The README provides several examples.