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Run Sql Connectorx MCP Server

@gigamori

代码仓库

基本信息

分类

数据库

传输方式

stdio

作者

gigamori

提交者

Takamichi Yanai

关于 Run Sql Connectorx MCP Server

An MCP server that executes SQL via ConnectorX and streams the result to a CSV or Parquet file. Supports PostgreSQL, MariaDB, BigQuery, RedShift, MS SQL Server, etc.

#sql#connectorx#data-streaming

Run Sql Connectorx 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": {
    "run-sql-connectorx": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/gigamori/mcp-run-sql-connectorx",
        "run-sql-connectorx",
        "--conn",
        "<connection_token>",
        "--csv-token-threshold",
        "500000"
      ]
    }
  }
}

Run Sql Connectorx 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。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Run Sql Connectorx?

Run Sql Connectorx is an MCP server that uses ConnectorX to execute SQL queries against supported databases and return results as CSV or Parquet files. It is designed for MCP clients that need to run SQL and exchange data efficiently via files instead of inline payloads.

How to use Run Sql Connectorx?

Install via uvx and invoke with the required --conn <connection_token> option. Optionally set --csv-token-threshold <int> to enable per‑line CSV token counting. The server returns the string "OK" on success or "Error: <message>" on failure.

Key features of Run Sql Connectorx

  • Efficient streaming via Arrow RecordBatch chunks
  • Token-efficient file-based data exchange for MCP
  • Cross-database support through ConnectorX
  • Robust I/O: CSV headers, Parquet validation, error cleanup
  • Output formats: CSV (UTF‑8) and Parquet (PyArrow defaults)

Use cases of Run Sql Connectorx

  • Run SQL queries against PostgreSQL, MySQL, SQLite, or BigQuery
  • Export large query results as CSV or Parquet for downstream analysis

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