mcp-run-sql-connectorx
An MCP server that executes SQL via ConnectorX and streams (using Arrow RecordBatch) the result to CSV or Parquet. Supports PostgreSQL, MySQL, MariaDB, SQLite, MS SQL Server, Amazon Redshift, Google BigQuery
一个通过ConnectorX执行SQL并将结果(使用Arrow RecordBatch)流式传输为CSV或Parquet的MCP服务器。支持PostgreSQL、MySQL、MariaDB、SQLite、MS SQL Server、Amazon Redshift、Google BigQuery。
How to install
No unified install command; see the repository README.
About
run-sql-connectorx An MCP server that executes SQL via **ConnectorX** and streams the result to **CSV** or **Parquet** in PyArrow RecordBatch chunks. **Output formats**: csv or parquet **CSV**: UTF-8, header row is always written **Parquet**: PyArrow defaults; schema mismatch across batches raises an error **Return value**: the string "OK" on success, or "Error: <message>" on failure On failure the partially written output file is deleted **CSV token counting (optional)**: per-line token counting via tiktoken (o200k_base) with a warning threshold Why this library? **Efficient streaming**: hand…
Recommendation signals
Meta
- License
- MIT
- Language
- Python
- GitHub stars
- 1
- mo. downloads
- –
- Last push
- 2025-09-03
- Created
- 2025-09-02
Links
Basic safety check
- Findings
- curated 收录但无 npm 包/安装命令;长期无更新
- Sources
- curated:punkpeye/awesome-mcp-servers
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