da1y_mcp-server-elasticsearch

da1y_mcp-server-elasticsearch

3.1

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A Model Context Protocol server for Elasticsearch clusters. Enables LLMs to manage indices and execute queries.

The Elasticsearch Model Context Protocol (MCP) server is designed to facilitate the management of Elasticsearch clusters by leveraging the capabilities of Large Language Models (LLMs). This server allows for seamless interaction with Elasticsearch indices, enabling the execution of complex queries and the management of index configurations. Built primarily by adapting examples from the PostgreSQL MCP server, this tool provides a robust interface for handling Elasticsearch operations programmatically. It supports a range of functionalities including searching, creating indices, listing indices, and indexing documents, making it a versatile tool for developers and data scientists working with Elasticsearch.

Features

  • search: Execute search queries against indices and return search hits.
  • create_index: Create new Elasticsearch indices with optional mappings and settings.
  • list_indices: List all available indices without requiring any input.
  • index_document: Index a document into a specified index with optional document ID.