clean_rows — Dataset Cleaner & Exporter MCP Tool
clean_rows
(clean rows) is one of 2 tools on the
Dataset Cleaner & Exporter
MCP server. Connect the server and your client discovers it on the handshake.
by client
How to call clean_rows from your client
- Claude Code Dataset Cleaner & Exporter clean_rows run in your project directory
- Claude Desktop Dataset Cleaner & Exporter clean_rows ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor Dataset Cleaner & Exporter clean_rows ~/.cursor/mcp.json
- VS Code Dataset Cleaner & Exporter clean_rows .vscode/mcp.json
- Zed Dataset Cleaner & Exporter clean_rows ~/.config/zed/settings.json
- Windsurf Dataset Cleaner & Exporter clean_rows ~/.codeium/windsurf/mcp_config.json
- Cline Dataset Cleaner & Exporter clean_rows ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI Dataset Cleaner & Exporter clean_rows ~/.gemini/settings.json
- Grok Dataset Cleaner & Exporter clean_rows .mcp.json (in your project root)
- ChatGPT Dataset Cleaner & Exporter clean_rows Settings → Connectors → Advanced → Developer mode
- Claude.ai Dataset Cleaner & Exporter clean_rows Settings → Connectors → Add custom connector
- LangChain Dataset Cleaner & Exporter clean_rows pip install langchain-mcp-adapters
Fastest route
claude mcp add --transport http dataset-cleaner-exporter https://dataset-cleaner-exporter.nerolabs.workers.dev/mcpOther tools on this server
This list was read from the server itself, by connecting to it and calling tools/list on 24 September 2026. It is what
the server actually exposes, not what its listing claims.
Mutating and Read-only are read off each tool's name, not its schema — a hint, not a guarantee. The registry stores tool names only; connect the server for its live schemas.