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Entry · tap

tap/table

Format rows as a human-readable table (outputs one row per line)

read-only

Run it

$ tap tap/table

What it returns

ColumnType

Arguments

NameTypeDefaultDescription
colsstringColumns to show (comma-separated, default: all)
maxstring40Max column width

What it does

Format rows as a human-readable table (outputs one row per line)

Install Taprun once

Taprun ships as a single MCP server exposing a catalog of compiled taps. One-time setup on macOS / Linux:

brew install LeonTing1010/tap/taprun
tap mcp connect

Or drop this into your claude_desktop_config.json (works identically in Claude Code, Cursor, Cline, Windsurf — any MCP host):

{
  "mcpServers": {
    "tap": {
      "command": "tap",
      "args": ["mcp", "start"]
    }
  }
}

Call tap/table

Terminal, once installed:

tap run tap/table

From the MCP host — exact same compiled plan, deterministic replay, zero LLM tokens:

tap.run({ site: "tap", name: "table" })

Why compile it once

This plan was forged once — the AI read tap, picked stable structural addresses (JSON-LD, ARIA, RSS, or declared API endpoints, in that priority order), and saved them to a .plan.json. Every replay since then has used zero LLM tokens. When tap ships a site change that breaks the extraction, tap verify surfaces it before your data goes stale — not after your pipeline silently writes garbage for a week.

Related tap taps

tapdescription
tap/limitTake first N rows (head) or skip M then take N (offset+limit)
tap/filterFilter rows where field matches condition (gt, lt, eq, contains)
tap/dedupeRemove duplicate rows by field value
tap/sortSort rows by field (numeric or alphabetic, asc or desc)
tap/pickSelect specific columns from rows (projection)

Provenance

Source
LeonTing1010/tap-skills/blob/main/showcase/tap/table.plan.json
Machine format
table.jsonld — W3C Annotation
Last verify run
never
License
MIT