Introducing Hypertab — the active table for AI agents

TL;DR. Hypertab is an AI-native active table where columns don’t just hold data — they do things. Smart columns call APIs, run AI prompts, compute formulas, and push to integrations, automatically for every row. Connect any MCP-compatible AI agent (Claude Code, Cursor, Windsurf) and it can build entire data pipelines for you in minutes.

Why we built it

Workflow tools like Zapier, n8n, and Make are great until you hit scale. Running 50,000 rows through a workflow graph means 50,000 separate executions — each with its own setup cost, error path, and rate-limit risk. Spreadsheet-database hybrids like Airtable solve the data layer, but their AI features are bolted on, not native, and there’s no real story for letting an AI agent operate the table directly.

Hypertab fixes both. The table is the workflow. Rows × columns = unlimited pipelines, batched by default, with AI agents as first-class operators via MCP.

What makes it different

Columns DO things

Every column has a kind: static (holds data), ai (prompt per row), http (API call per row), formula (compute), integration (push), waterfall (try sources in order), lookup (cross-table VLOOKUP), extract (pull a JSON field at zero cost).

Row-DAG execution

Smart columns declare dependencies via {{column}} references. Hypertab builds a dependency graph and runs each row through it in topological order — A → B → C → D. Cross-row parallelism scales with your plan (free: 5, scale: 100, enterprise: 200).

MCP-native

47 MCP tools out of the box. Your AI agent can create tables, insert rows, configure smart columns, run pipelines, and check progress — all from inside Claude Code or Cursor.

Built to scale

Adaptive rate limiting backs off when APIs throttle. Circuit breaker pauses on error spikes. Edge-deployed globally on Cloudflare Workers + Turso. 100K+ rows handled in ~6MB browser memory via virtualized rendering.

Try it

Sign up free — no credit card. Copy the MCP config, paste into Claude Code, and your agent has the full table at its disposal in 30 seconds.

{
  "mcpServers": {
    "hypertab": {
      "url": "https://api.hypertab.ai/mcp",
      "headers": { "Authorization": "Bearer ht_sk_YOUR_KEY" }
    }
  }
}

We’re just getting started. Comparison guides, integration deep-dives, and case studies coming soon. If you want to see something specific covered, email us.