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Dremio MCP server

@dremio

リポジトリ

基本情報

カテゴリ

その他

ライセンス

Apache-2.0

トランスポート

stdio

作者

dremio

Dremio MCP server について

Dremio MCP server

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

Dremio MCP server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

Dremio MCP server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

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).

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