Elasticsearch MCP Server

An MCP server that enables AI assistants to directly interact with Elasticsearch for searching, aggregating, and retrieving documents from indices, supporting full-text search, semantic search, and various query modes.

→ gpremo-re/elasticsearch-mcp-server · listed on glama

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// key findings

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

🔐

You'll be asked for 1 credential: ES_API_KEY

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

🔐 secretES_API_KEY— API key for Elasticsearch authentication (optional)

configES_URL— docker run -e =http://host.docker.internal:9200 -p 3100:3100 elasticsearch-mcp

configPORT— 3100 HTTP port the server listens on

configTRANSFORMERS_CACHE— The embedding model is downloaded on first use and cached locally. The Docker image pre-downloads it at build time. Use to control where the model is stored.

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// improvement guidance — verified publishers only

We have 5 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/gpremo-re-elasticsearch-mcp-server-1yh3tb)](https://m8ven.ai/mcp/gpremo-re-elasticsearch-mcp-server-1yh3tb)

commit: 53cc55aaeac2ac18d83ebdf39e6c45612e056a2a

code hash: 653a944d09eb3c7b03812756d9f25e89415deb3b551efec64bf7ea87b3dbf12a

verified: 6/24/2026, 10:13:05 AM

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