Elasticsearch 7.x MCP Server

# Elasticsearch 7.x MCP Server [](https://smithery.ai/server/@imlewc/elasticsearch7-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](https://smithery.ai/server/@imlewc/elasticsearch7-mcp-server): ```bash npx -y @smithery/cli install @imlewc/elasticsearch7-mcp-server --client claude ``` ### Manual Installation ```bash 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 1. Create a `.env` file and set `ELASTIC_PASSWORD`: ``` ELASTIC_PASSWORD=your_secure_password ``` 2. Start the services: ```bash 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: ```python 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 ```python # Basic search search_response = client.call("es-search", { "index": "my_index", "query": { "match": { "title": "search keywords" } }, "size": 10, "from": 0 }) ``` #### Aggregation Query ```python # 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 ```python # 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 1. Clone the repository 2. Install development dependencies 3. Run the server: `elasticsearch7-mcp-server` ## License [License in LICENSE file] *[中文文档](README-cn.md)*