Integrations

Provides Elasticsearch interaction allowing users to search documents, analyze indices, and manage clusters through natural language queries
Mentions that Kibana is accessible as part of the Elasticsearch cluster setup, though interaction is primarily through the Elasticsearch API

Elasticsearch/OpenSearch MCP Server

Overview

A Model Context Protocol (MCP) server implementation that provides Elasticsearch and OpenSearch interaction. This server enables searching documents, analyzing indices, and managing cluster through a set of tools.

Demo

https://github.com/user-attachments/assets/f7409e31-fac4-4321-9c94-b0ff2ea7ff15

Features

General Operations

general_api_request: Perform a general HTTP API request. Use this tool for any Elasticsearch/OpenSearch API that does not have a dedicated tool.

Index Operations

list_indices: List all indices.
get_index: Returns information (mappings, settings, aliases) about one or more indices.
create_index: Create a new index.
delete_index: Delete an index.

Document Operations

search_documents: Search for documents.
index_document: Creates or updates a document in the index.
get_document: Get a document by ID.
delete_document: Delete a document by ID.
delete_by_query: Deletes documents matching the provided query.

Cluster Operations

get_cluster_health: Returns basic information about the health of the cluster.
get_cluster_stats: Returns high-level overview of cluster statistics.

Alias Operations

list_aliases: List all aliases.
get_alias: Get alias information for a specific index.
put_alias: Create or update an alias for a specific index.
delete_alias: Delete an alias for a specific index.

Configure Environment Variables

Copy the .env.example file to .env and update the values accordingly.

Start Elasticsearch/OpenSearch Cluster

Start the Elasticsearch/OpenSearch cluster using Docker Compose:

# For Elasticsearch
docker-compose -f docker-compose-elasticsearch.yml up -d

# For OpenSearch
docker-compose -f docker-compose-opensearch.yml up -d

The default Elasticsearch username is elastic and password is test123. The default OpenSearch username is admin and password is admin.

You can access Kibana/OpenSearch Dashboards from http://localhost:5601.

Usage with Claude Desktop

Option 1: Installing via Smithery

To install Elasticsearch Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install elasticsearch-mcp-server --client claude

Option 2: Using uvx

Using uvx will automatically install the package from PyPI, no need to clone the repository locally. Add the following configuration to Claude Desktop's config file claude_desktop_config.json.

// For Elasticsearch
{
  "mcpServers": {
    "elasticsearch-mcp-server": {
      "command": "uvx",
      "args": [
        "elasticsearch-mcp-server"
      ],
      "env": {
        "ELASTICSEARCH_HOSTS": "https://localhost:9200",
        "ELASTICSEARCH_USERNAME": "elastic",
        "ELASTICSEARCH_PASSWORD": "test123"
      }
    }
  }
}

// For OpenSearch
{
  "mcpServers": {
    "opensearch-mcp-server": {
      "command": "uvx",
      "args": [
        "opensearch-mcp-server"
      ],
      "env": {
        "OPENSEARCH_HOSTS": "https://localhost:9200",
        "OPENSEARCH_USERNAME": "admin",
        "OPENSEARCH_PASSWORD": "admin"
      }
    }
  }
}

Option 3: Using uv with local development

Using uv requires cloning the repository locally and specifying the path to the source code. Add the following configuration to Claude Desktop's config file claude_desktop_config.json.

// For Elasticsearch
{
  "mcpServers": {
    "elasticsearch-mcp-server": {
      "command": "uv",
      "args": [
        "--directory",
        "path/to/src/elasticsearch_mcp_server",
        "run",
        "elasticsearch-mcp-server"
      ],
      "env": {
        "ELASTICSEARCH_HOSTS": "https://localhost:9200",
        "ELASTICSEARCH_USERNAME": "elastic",
        "ELASTICSEARCH_PASSWORD": "test123"
      }
    }
  }
}

// For OpenSearch
{
  "mcpServers": {
    "opensearch-mcp-server": {
      "command": "uv",
      "args": [
        "--directory",
        "path/to/src/elasticsearch_mcp_server",
        "run",
        "opensearch-mcp-server"
      ],
      "env": {
        "OPENSEARCH_HOSTS": "https://localhost:9200",
        "OPENSEARCH_USERNAME": "admin",
        "OPENSEARCH_PASSWORD": "admin"
      }
    }
  }
}

On macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json

Restart Claude Desktop to load the new MCP server.

Now you can interact with your Elasticsearch/OpenSearch cluster through Claude using natural language commands like:

"List all indices in the cluster"
"How old is the student Bob?"
"Show me the cluster health status"

Usage with Anthropic MCP Client

uv run mcp_client/client.py src/server.py

License

This project is licensed under the Apache License Version 2.0 - see the LICENSE file for details.

You must be authenticated.

A

security – no known vulnerabilities

A

license - permissive license

A

quality - confirmed to work

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Tools

Facilitates interaction with Elasticsearch clusters by allowing users to perform index operations, document searches, and cluster management via a Model Context Protocol server and natural language commands.

Related Resources

Reddit Discussion about this server

Elasticsearch MCP Server