Elasticsearch MCP Server
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Integrations
Provides a one-liner to run Elasticsearch in a Docker container for easy setup and deployment of the required backend.
Enables management of Elasticsearch clusters, allowing for creating indices, indexing documents, listing available indices, and executing search queries using Elasticsearch query DSL.
Elasticsearch
A Model Context Protocol server for Elasticsearch clusters. Enables LLMs to manage indices and execute queries.
IMPORTANT NOTE : this was built mainly by feeding examples to claude from the postgres mcp server.
Components
Tools
- search
- Execute search queries against indices
- Input:
index
(string): Target index namequery
(object): Elasticsearch query DSL
- Returns search hits
- create_index
- Create new Elasticsearch indices
- Input:
index
(string): Index namemappings
(object, optional): Index mappings configurationsettings
(object, optional): Index settings configuration
- list_indices
- List all available indices
- No input required
- Returns array of index information
- index_document
- Index a document
- Input:
index
(string): Target index nameid
(string, optional): Document IDdocument
(object): Document content
- Returns indexing operation result
Resources
The server provides mapping information for each index:
- Index Mappings (
elasticsearch://<host>/<index>/schema
)- JSON mapping information
- Field names, types and configurations
- Automatically discovered from metadata
Usage with Claude Desktop
Add to the "mcpServers" section of your claude_desktop_config.json
:
Docker one liner to run container :
Replace the URL with your Elasticsearch endpoint.
License
Licensed under MIT License. Free to use, modify, and distribute. See LICENSE file for details.
This server cannot be installed
A Model Context Protocol server that enables LLMs to interact with Elasticsearch clusters, allowing them to manage indices and execute search queries using natural language.