Elasticsearch 7.x MCP Server

Integrations

Utilizes environment variables through .env files to configure connection details for Elasticsearch, including host address, authentication credentials, and server port settings.
Enables interaction with Elasticsearch 7.x instances, supporting basic operations like ping and info, as well as complete search functionality including aggregation queries, highlighting, sorting, and other advanced search features.
Supports connection to Kibana as part of an Elasticsearch deployment through the Docker Compose setup, providing visualization and management capabilities for Elasticsearch data.

Elasticsearch 7.x MCP Server

An MCP server for Elasticsearch 7.x, providing compatibility with Elasticsearch 7.x versions.

Features

Provides an MCP protocol interface for interacting with Elasticsearch 7.x
Supports basic Elasticsearch operations (ping, info, etc.)
Supports complete search functionality, including aggregation queries, highlighting, sorting, and other advanced features
Easily access Elasticsearch functionality through any MCP client

Requirements

Python 3.10+
Elasticsearch 7.x (7.17.x recommended)

Installation

Installing via Smithery

To install Elasticsearch 7.x MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @imlewc/elasticsearch7-mcp-server --client claude

Manual Installation

pip install -e .

Environment Variables

The server requires the following environment variables:

ELASTIC_HOST: Elasticsearch host address (e.g., http://localhost:9200)
ELASTIC_USERNAME: Elasticsearch username
ELASTIC_PASSWORD: Elasticsearch password
MCP_PORT: (Optional) MCP server listening port, default 9999

Using Docker Compose

Create a .env file and set ELASTIC_PASSWORD:

ELASTIC_PASSWORD=your_secure_password

Start the services:

docker-compose up -d

This will start a three-node Elasticsearch 7.17.10 cluster, Kibana, and the MCP server.

Using an MCP Client

You can use any MCP client to connect to the MCP server:

from mcp import MCPClient

client = MCPClient("localhost:9999")
response = client.call("es-ping")
print(response)  # {"success": true}

API Documentation

Currently supported MCP methods:

es-ping: Check Elasticsearch connection
es-info: Get Elasticsearch cluster information
es-search: Search documents in Elasticsearch index

Search API Examples

Basic Search

# Basic search
search_response = client.call("es-search", {
    "index": "my_index",
    "query": {
        "match": {
            "title": "search keywords"
        }
    },
    "size": 10,
    "from": 0
})

Aggregation Query

# Aggregation query
agg_response = client.call("es-search", {
    "index": "my_index",
    "size": 0,  # Only need aggregation results, no documents
    "aggs": {
        "categories": {
            "terms": {
                "field": "category.keyword",
                "size": 10
            }
        },
        "avg_price": {
            "avg": {
                "field": "price"
            }
        }
    }
})

Advanced Search

# Advanced search with highlighting, sorting, and filtering
advanced_response = client.call("es-search", {
    "index": "my_index",
    "query": {
        "bool": {
            "must": [
                {"match": {"content": "search term"}}
            ],
            "filter": [
                {"range": {"price": {"gte": 100, "lte": 200}}}
            ]
        }
    },
    "sort": [
        {"date": {"order": "desc"}},
        "_score"
    ],
    "highlight": {
        "fields": {
            "content": {}
        }
    },
    "_source": ["title", "date", "price"]
})

Development

Clone the repository
Install development dependencies
Run the server: elasticsearch7-mcp-server

License

[License in LICENSE file]

中文文档

You must be authenticated.

security – no known vulnerabilities

license - permissive license

quality - confirmed to work

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.

Tools

Provides an MCP protocol interface for interacting with Elasticsearch 7.x databases, supporting comprehensive search functionality including aggregations, highlighting, and sorting.

Related Resources

Reddit Discussion about this server

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