Elasticsearch MCP Server
Elasticsearch MCP servers enable AI models to interact with Elasticsearch, providing capabilities for full-text search, analytics, aggregations, and distributed document operations.
{
"mcpServers": {
"elasticsearch": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-elasticsearch-server"
],
"env": {
"ES_NODE": "http://your_host:9200",
"ES_USERNAME": "your_user",
"ES_PASSWORD": "your_password",
"ES_API_KEY": "your_api_key"
}
}
}
}
Overview
The MCP Elasticsearch Server enables AI models to interact with Elasticsearch clusters, providing a standardized interface for working with this powerful search and analytics engine. Elasticsearch excels at full-text search, log analytics, and complex data aggregations, making it essential for AI applications requiring advanced search capabilities. 1
Prerequisites:
- An Elasticsearch instance
- Elasticsearch authentication credentials (API key or username/password)
- MCP Client (e.g. Claude Desktop, VS code Copilot, Cursor)
Tools
Sources
Footnotes
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