Run Sql Connectorx
@gigamori
Run Sql Connectorx について
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.
基本情報
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": {
"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"
]
}
}
}ツール
ツールは検出されませんでした
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 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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