Dremio MCP server

by dremio

52 stars
474 downloads
Not rated
GitHub

About

Integrate Large Language Models (LLMs) with the Dremio data lakehouse platform.

Details

Author
dremio
GitHub stars
52
Downloads
474
Categories
Database, Other, AI

- Local and remote (Kubernetes/Helm) deployment
- Supports PAT and OAuth + external token authentication
- Three server modes: FOR_DATA_PATTERNS, FOR_SELF, FOR_PROMETHEUS
- Automatic logging to platform-specific locations
- Optional semantic search and DML operations
- Prometheus metrics and horizontal pod autoscaling (Helm)

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Dremio MCP server
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Install locally using uv and Python 3.11+. Create a Dremio config file with your Dremio URI and PAT (or OAuth), then configure the LLM desktop app (Claude) to reference the server. For production, deploy via Helm chart with streaming HTTP, OAuth, and autoscaling.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "dremio mcp server": {
            "dremio-mcp": {
                "command": "docker",
                "args": [
                    "build",
                    "-t",
                    "dremio-mcp:0.1.0",
                    "."
                ]
            }
        }
    }
}

McpServers

{
    "dremio-mcp": {
        "command": "docker",
        "args": [
            "build",
            "-t",
            "dremio-mcp:0.1.0",
            "."
        ]
    }
}
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