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About
An MCP server that executes SQL via ConnectorX and streams the result to CSV or Parquet in PyArrow RecordBatch chunks.
- Output formats:
csvorparquet - 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: "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
- Efficient streaming: handles large results in Arrow
RecordBatchchunks - Token-efficient for MCP: exchanges data via files instead of inline payloads
- Cross-database via ConnectorX: one tool works across many backends
- Robust I/O: CSV header handling, Parquet schema validation, safe cleanup on errors
Supported data sources (ConnectorX)
Works with Claude (desktop and mobile), Cursor, Windsurf, VS Code, and any MCP-compatible AI app.
Category: Developer Tools
Don't lose this
Three weeks from now, you'll want gigamori/mcp-run-sql-connectorx again. Will you remember where to find it?
Save it to your library and the next time you need gigamori/mcp-run-sql-connectorx, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. gigamori/mcp-run-sql-connectorx. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from awesome:punkpeye/awesome-mcp-servers
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