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Dremio MCP server

@dremio

代码仓库

基本信息

分类

其他

许可证

Apache-2.0

传输方式

stdio

作者

dremio

关于 Dremio MCP server

Dremio MCP server

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

Dremio MCP server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Dremio MCP server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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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