dremio-mcp

3.5

databases ai_chatbot

If you are the rightful owner of dremio-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

Dremio MCP server facilitates the integration of LLMs with Dremio, providing a structured protocol for communication and data handling.

The Dremio MCP server is designed to streamline the integration of Large Language Models (LLMs) with Dremio, a data lake engine. It provides a Model Context Protocol (MCP) server that acts as a bridge between the LLM frontend, such as Claude, and the Dremio backend. The server is installed locally and requires Python 3.11 or later. It supports various modes of operation, allowing for data pattern discovery, system introspection, and integration with Prometheus for enhanced metrics. The server configuration involves setting up connection details for Dremio and configuring the LLM desktop application to recognize the MCP server. The server is open-source and encourages community contributions.

Features

Seamless LLM Integration: Facilitates easy integration of LLMs with Dremio for enhanced data processing capabilities.
Multiple Operation Modes: Supports modes for data pattern discovery, system introspection, and Prometheus integration.
Configurable Setup: Allows for detailed configuration of server and LLM settings to suit various use cases.
Open Source: Encourages community contributions and enhancements.
Cross-Platform Support: Compatible with macOS and Windows for broad accessibility.

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