join_rows — Dataset Join & Merge MCP Tool
join_rows
(join rows) is one of 2 tools on the
Dataset Join & Merge
MCP server. Connect the server and your client discovers it on the handshake.
by client
How to call join_rows from your client
- Claude Code Dataset Join & Merge join_rows run in your project directory
- Claude Desktop Dataset Join & Merge join_rows ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor Dataset Join & Merge join_rows ~/.cursor/mcp.json
- VS Code Dataset Join & Merge join_rows .vscode/mcp.json
- Zed Dataset Join & Merge join_rows ~/.config/zed/settings.json
- Windsurf Dataset Join & Merge join_rows ~/.codeium/windsurf/mcp_config.json
- Cline Dataset Join & Merge join_rows ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI Dataset Join & Merge join_rows ~/.gemini/settings.json
- Grok Dataset Join & Merge join_rows .mcp.json (in your project root)
- ChatGPT Dataset Join & Merge join_rows Settings → Connectors → Advanced → Developer mode
- Claude.ai Dataset Join & Merge join_rows Settings → Connectors → Add custom connector
- LangChain Dataset Join & Merge join_rows pip install langchain-mcp-adapters
Fastest route
claude mcp add --transport http dataset-join-merge https://dataset-join-merge.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.