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Dremio MCP server

@dremio

Repository

Basic information

Category

Other

License

Apache-2.0

Transports

stdio

Author

dremio

About Dremio MCP server

Dremio MCP server

#ai#mcp#dremio#llm#agentic-ai#mcp-server

Dremio MCP server config

Add this server to your MCP-compatible client using the configuration below.

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

Dremio MCP server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Dremio MCP server?

Dremio MCP server is an MCP (Model Context Protocol) server that enables LLMs to integrate with Dremio for querying, analyzing, and discovering data. It is intended for developers and data professionals who want to use AI assistants like Claude with Dremio.

How to use Dremio MCP server?

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.

Key features of Dremio MCP server

  • 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)

Use cases of Dremio MCP server

  • Let an LLM discover and query Dremio tables for pattern analysis
  • Introspect Dremio system internals, workload analysis (FOR_SELF mode)
  • Combine Dremio metrics from Prometheus for enriched insights
  • Deploy a scalable, production‑grade MCP server for enterprise AI assistants

Frequently asked questions

1

How do I install Dremio MCP server locally?

Clone the repository, install `uv`, ensure Python 3.11+, then run `uv run dremio-mcp-server --help` to verify.

2

What authentication methods are supported?

PAT for development/testing; OAuth with an external token provider for production. A PAT can be stored in a file and referenced with `@` to avoid leaking in shell history.

3

What are the three server modes?

FOR_DATA_PATTERNS (normal): allows LLM to read tables and data. FOR_SELF: introspects Dremio system, including workload analysis. FOR_PROMETHEUS: connects to Prometheus for Dremio‑related metrics.

4

Where are logs stored?

Logs are written automatically to platform‑specific directories: `~/.local/share/dremioai/logs/` (Linux), `~/Library/Logs/dremioai/` (macOS), or `%LOCALAPPDATA%\dremioai\logs\` (Windows).

5

Does Dremio MCP server support Dremio Cloud?

Yes. You must provide a project ID when configuring for Dremio Cloud, and use the URI `https://api.dremio.cloud` (US) or `https://api.eu.dremio.cloud` (EMEA).

Comments

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