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Interact with your Elasticsearch indices through natural language conversations.
Elasticsearch is an MCP server entry in ChatHome Skills, sourced from Docker MCP Registry and scored 100/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Elasticsearch to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
docker run -i --rm mcp/elasticsearchReview the upstream source before running this command.
{
"raw": "name: elasticsearch\nimage: mcp/elasticsearch\ntype: server\nmeta:\n category: search\n tags:\n - elasticsearch\n - search\nabout:\n title: Elasticsearch\n description: Interact with your Elasticsearch indices through natural language conversations.\n icon: https://avatars.githubusercontent.com/u/6764390?s=200&v=4\nsource:\n project: https://github.com/elastic/mcp-server-elasticsearch\n branch: v0.4.0\n commit: b2912b2ba544060962c7fabf38eb36cc940e9098\nrun:\n command:\n - stdio\nconfig:\n description: Configure the connection to Elasticsearch\n secrets:\n - name: elasticsearch.api_key\n env: ES_API_KEY\n example: your-api-key\n env:\n - name: ES_URL\n example: http://localhost:9200\n value: \"{{elasticsearch.url}}\"\n parameters:\n type: object\n properties:\n url:\n type: string\n required:\n - url\n",
"path": "servers/elasticsearch/server.yaml"
}