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dremio-mcp
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dremio-mcp

Active·★ 53·Apache-2.0·Updated 2026-10-07

The Dremio MCP server facilitates the integration of Large Language Models (LLMs) with Dremio data platforms using the Model Context Protocol. It supports both production-grade Kubernetes deployments via Helm charts and local desktop development for various operating systems.

#Dremio#LLM Integration#Model Context Protocol#Kubernetes#Python#Claude#Data Analytics
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Guides
#Observability
$ Install
$ docker build -t dremio-mcp:0.1.0 .
↗ Visit site★ GitHub
01

Features

01Seamless LLM integration with Dremio for data interaction.
02Support for secure OAuth and external token providers for authentication.
03Scalable deployment in Kubernetes with Horizontal Pod Autoscaling and Streaming HTTP.
04Multiple operational modes for data pattern discovery, Dremio introspection, and Prometheus metrics.
05Cross-platform compatibility for local development on macOS, Windows, and Linux.
02

Compatibility

Python
Runtime
Verified via docs
Dremio
Platform
Verified via docs
Claude Desktop
LLM Frontend
Verified via docs
Kubernetes
Deployment
Verified via docs
Docker
Containerization
Verified via docs
MacOS
OS
Verified via docs
03

Quick start

1
$ docker build -t dremio-mcp:0.1.0 .
04

Use cases

↳Connecting Large Language Models to Dremio for advanced data querying and analysis.
↳Enabling LLMs to perform pattern discovery and insights generation from Dremio tables and data.
↳Performing Dremio system introspection and workload analysis using integrated LLMs.
↳Enhancing Dremio insights with external Prometheus metrics through LLM integration.
↳Production-grade deployment in Kubernetes environments for scalable Dremio-LLM interaction.
05

Alternatives

⚡Top VS:
VSaks-mcp★143→VSthoughtbox★65→VSarchestra★4.4k→VS

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dremio /
dremio-mcp
↗

Dremio MCP server

53Apache-2.0
Last commit2w ago
StatusActive
CategoryObservability
Links
Documentation↗Discussion↗Issues↗Releases↗
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