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Draxlr MCP Server已验证已精选

@Vivek

基本信息

传输方式

Streamable HTTP

认证方式

OAuth

分类

数据与分析

作者

Vivek

提交者

Vivek Kumar

关于 Draxlr MCP Server

Draxlr is a remote MCP server that connects AI assistants to your SQL databases. Explore schemas, run read-only queries, and work with your saved queries and dashboards over MCP. Hosted at https://api.draxlr.com with OAuth.

连接信息

https://api.draxlr.com/mcp

接入方式

claude mcp add draxlr --transport http https://api.draxlr.com/mcp

Draxlr 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。

此服务需要认证,获取工具列表可能需要登录或使用服务提供方的凭据。

点击上方按钮,直接连接服务器端点实时获取工具列表。

概览

What is Draxlr

Draxlr is a no-code BI and analytics platform. The Draxlr MCP server exposes your connected databases, saved queries, and dashboards to AI assistants over the Model Context Protocol, so tools like Claude can work directly against your existing BI setup instead of a separate copy of your data.

What it does

  • List connected databases and inspect table schemas
  • Run read-only SQL against your databases
  • Create, update, and run saved queries
  • List and read dashboards, and add queries to them as widgets
  • Export query results and dashboards to CSV or Excel
  • Provide access to your customers with context-awareness, so each one sees only their own rows

Row-level security

Draxlr applies row-level security (RLS) transparently. Two members can run the same query and get different results, because each member's filter is applied automatically. You never rewrite queries per user or maintain separate views.

Paired with dashboard-only access, this lets you hand customers and external stakeholders a live view of their own data without exposing anyone else's rows or your underlying databases. It turns one shared dashboard into a per-customer view, which is the same context-awareness that makes Draxlr practical for embedded, customer-facing analytics.

Connection

  • Remote endpoint: https://api.draxlr.com/mcp
  • Transport: HTTP
  • Auth: OAuth
{
  "mcpServers": {
    "draxlr": {
      "type": "http",
      "url": "https://api.draxlr.com/mcp"
    }
  }
}

Getting started

  1. Sign in to Draxlr and connect a database.
  2. Add the config above to your MCP client.
  3. Authenticate with OAuth when prompted.
  4. Ask your assistant to list databases or run a query.

Full docs: https://docs.draxlr.com/docs/mcp-server

常见问题

1

Draxlr 远程 MCP 服务器是什么?

Draxlr 的远程 MCP 服务器是一个托管的 Model Context Protocol 端点,地址是 https://api.draxlr.com/mcp,AI 助手无需在本地安装或运行任何东西即可连接。

2

怎么连接 Draxlr 的 MCP 服务器?

把端点 https://api.draxlr.com/mcp 添加到任意支持 MCP 的客户端,比如 Claude Code、Cursor 或 VS Code。本页的接入代码块可以一步配置好每个客户端。

3

Draxlr 的 MCP 服务器需要认证吗?

需要。Draxlr 使用 OAuth——第一次连接时,你的 MCP 客户端会打开浏览器窗口登录并授权,之后会复用这个凭证。

4

Draxlr 的 MCP 服务器用的是哪种传输方式?

Draxlr 暴露的是 Streamable HTTP 端点,这是远程 MCP 服务器普遍使用、主流客户端都支持的传输方式。

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