Connects agents to Elasticsearch data, enabling natural language interaction with indices through the Model Context Protocol.
Elasticsearch bridges the gap between natural language queries and Elasticsearch data, allowing users to interact with indices through conversational interfaces. By connecting to an Elasticsearch instance via the Model Context Protocol (MCP), users can leverage tools like Claude Desktop to ask questions and perform searches using natural language. The server supports various configuration options, including API key and username/password authentication, and offers tools for listing indices, retrieving mappings, performing searches, and obtaining shard information.