Elasticsearch MCP Server

Elasticsearch MCP Server

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.

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Developer Tools
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Tools

list_indices

List all indices in the Elasticsearch cluster

get_mapping

Get index mapping

get_settings

Get index settings

search_documents

Search documents in an index with a custom query

get_cluster_health

Get cluster health status

get_cluster_stats

Get cluster statistics

README

Elasticsearch/OpenSearch MCP Server

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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.

<a href="https://glama.ai/mcp/servers/b3po3delex"><img width="380" height="200" src="https://glama.ai/mcp/servers/b3po3delex/badge" alt="Elasticsearch MCP Server" /></a>

Demo

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

Features

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_HOST": "https://localhost:9200",
        "ELASTICSEARCH_USERNAME": "elastic",
        "ELASTICSEARCH_PASSWORD": "test123"
      }
    }
  }
}

// For OpenSearch
{
  "mcpServers": {
    "opensearch-mcp-server": {
      "command": "uvx",
      "args": [
        "opensearch-mcp-server"
      ],
      "env": {
        "OPENSEARCH_HOST": "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_HOST": "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_HOST": "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.

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