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elasticsearch-mcp-server

MCP.Pizza Chef: cr7258

The elasticsearch-mcp-server is a Model Context Protocol (MCP) server implementation designed to facilitate interaction with Elasticsearch and OpenSearch clusters. It provides a structured interface for performing document searches, analyzing indices, and managing cluster operations through a comprehensive set of tools. This server supports general HTTP API requests to cover any Elasticsearch/OpenSearch API endpoints, making it highly flexible for diverse use cases. By integrating with MCP, it allows LLMs to access real-time, structured data from Elasticsearch/OpenSearch environments, enabling advanced AI-driven workflows and automation in data retrieval and cluster management.

Use This MCP server To

Search documents in Elasticsearch/OpenSearch clusters Analyze indices for data insights Manage Elasticsearch/OpenSearch cluster health Perform custom API requests to Elasticsearch/OpenSearch Integrate Elasticsearch data into AI workflows Automate data retrieval from search clusters

README

Elasticsearch/OpenSearch MCP Server

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MseeP.ai Security Assessment Badge

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.

Elasticsearch MCP Server

Demo

elasticsearch-mcp-server-2.mp4

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.

elasticsearch-mcp-server FAQ

How do I configure the elasticsearch-mcp-server?
Configuration typically involves setting the Elasticsearch or OpenSearch endpoint URL, authentication credentials, and optional parameters in the server's config file or environment variables.
Can the server handle both Elasticsearch and OpenSearch?
Yes, the elasticsearch-mcp-server supports interaction with both Elasticsearch and OpenSearch clusters seamlessly.
What kind of API requests can I perform?
You can perform general HTTP API requests to any Elasticsearch/OpenSearch API endpoint, including search, index management, and cluster operations.
Is authentication supported?
Yes, the server supports authentication methods compatible with Elasticsearch/OpenSearch, such as basic auth and API keys.
How does this server enhance AI workflows?
By exposing Elasticsearch/OpenSearch data and operations via MCP, it enables LLMs like OpenAI, Claude, and Gemini to query and manipulate search data in real time.
Is there a demo available?
Yes, a demo is available at the provided GitHub link demonstrating the server's capabilities.
How secure is the elasticsearch-mcp-server?
The server includes security assessments and badges, ensuring it follows best practices for secure interaction with Elasticsearch/OpenSearch clusters.