Dremio
Eases LLM integration with Dremio through a Model Context Protocol server.
About
The Dremio MCP server facilitates seamless integration between Large Language Models (LLMs) and Dremio. By implementing the Model Context Protocol (MCP), this server allows LLMs to access and understand Dremio's data and system metadata. It supports various modes, including data pattern discovery, self-introspection of the Dremio system, and integration with Prometheus for enhanced insights. This allows for use cases such as intelligent data exploration, workload analysis, and performance monitoring within the Dremio environment.
Key Features
- Supports multiple modes: FOR_DATA_PATTERNS, FOR_SELF, FOR_PROMETHEUS.
- Enables LLM integration with Dremio using MCP.
- Provides tools for testing and configuration management.
- 5 GitHub stars
- Configurable via YAML files for Dremio and LLM settings.
- Offers integration with agentic frameworks like LangChain or BeeAI (experimental).
Use Cases
- Allows LLMs to discover data patterns within Dremio.
- Enables LLMs to introspect the Dremio system for workload analysis.
- Integrates with Prometheus to enhance insights with Dremio related metrics.
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