Cli vs Rows.page — MCP Server Comparison | AllMCPs
Cli vs Rows.page
A side-by-side look at the Cli and Rows.page MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Cli for data visualization work as a local process; choose Rows.page for data visualization. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Cli when
You need dedicated capabilities in the Data Visualization domain.
You prefer a local stdio subprocess transport.
Its auth model fits you: OAuth 2.0.
You want tools like pushtodisplay_send_update, pushtodisplay_list_boards, pushtodisplay_get_board.
pushtodisplay_update_boardUpdate a board's name, description, or layout
pushtodisplay_set_default_boardSet a board as your default
pushtodisplay_delete_boardDelete a board permanently
pushtodisplay_list_devicesList active device connections
Rows.page tools 6
pushPublish rows as a rows.page dataset (or a new version of one) and get a shareable URL. Pass exactly one of csv, tsv, jsonl, json, rows or url. Up to 16 MB inline; use url for bigger files. Identical content returns unchanged: true without a new version. Re-pushes report rows_delta, columns_added/removed and a diff_url. Anonymous datasets expire after 7 days unless kept. Finding views use the rows.page query language in q: `word` or `"two words"` searches text columns; `field:value`, `field:"a b"`, `-field:value`, `field:*` (not null), `-field:*` (null), `field:foo*` (prefix); `field:>20`, `>=`, `<`, `<=`, `field:10..20`, ISO dates (`at:>2026-09-01`); dot paths for nested JSON (`payload.customer.country:NL`); `tags:urgent` means the list contains it; combine with `OR` and parentheses. A q starting with SELECT, WITH or FROM runs as SQL against the table `data`. sort is comma-separated columns, `-` for descending (`-price,name`); cols picks and orders visible columns (`a,b,c`).
pin_findingPin a finding (a saved, titled view) to a dataset you own. Finding views use the rows.page query language in q: `word` or `"two words"` searches text columns; `field:value`, `field:"a b"`, `-field:value`, `field:*` (not null), `-field:*` (null), `field:foo*` (prefix); `field:>20`, `>=`, `<`, `<=`, `field:10..20`, ISO dates (`at:>2026-09-01`); dot paths for nested JSON (`payload.customer.country:NL`); `tags:urgent` means the list contains it; combine with `OR` and parentheses. A q starting with SELECT, WITH or FROM runs as SQL against the table `data`. sort is comma-separated columns, `-` for descending (`-price,name`); cols picks and orders visible columns (`a,b,c`).
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
No confirmed install command for Rows.page yet — follow the setup steps linked from its listing page rather than a guessed package name.
Frequently asked questions
Cli is categorized under Data Visualization and uses a local stdio subprocess. Rows.page belongs to Data Visualization and uses an install path we have not confirmed yet. Pick Cli for data visualization work and Rows.page for data visualization.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client. Rows.page has no confirmed install command yet — follow its own setup instructions.
Cli is listed as freemium — a free tier with paid plans. Auth: oauth 2.0. Rows.page is listed as freemium — a free tier with paid plans. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add pushtodisplay-cli and rows-page as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Cli has a quality signal of 63/100 (Good) with 4 views, 0 installs and 2 GitHub stars. Rows.page has 53/100 (Good) with 0 views, 0 installs and 0 GitHub stars.