DataLakeHouseMCP

Enables AI-powered MCP clients to interact with data lakehouse components including Kafka, Flink, and Trino/Iceberg for managing topics, jobs, catalogs, and executing queries.

→ Zabi82/DataLakeHouseMCP · 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.

// required environment variables

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

configKAFKA_BOOTSTRAP_SERVERS

configSCHEMA_REGISTRY_URL

configFLINK_REST_URL

configTRINO_HOST

configTRINO_PORT

configTRINO_USER

configLOG_FILE

// 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 6 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/zabi82-datalakehousemcp-1wrfju)](https://m8ven.ai/mcp/zabi82-datalakehousemcp-1wrfju)

commit: c5d25bbc9e68e3e7f7ade9884bb548e3a0c65624

code hash: 462c67a5bab4449d6f3d3ffdbb805d0186984b18a6a40377ad0825420752833e

verified: 6/23/2026, 10:10:18 AM

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