Driven by your coding agent · CLI + MCP

Your agent has the brains.
tabledi gives it a table it can trust.

Your coding agent connects your sheets, shapes them, and ships a live dashboard — deterministic, self-hostable, built for millions of rows.

Get started See what it does

No AI bundled · bring Claude Code, Codex or Cursor · your model key

tabledi skill · Claude Code

yoconnect my Google Sheets — the "ops" workbook

✓ channel linked · ops · 3 sheets · syncs every 5 min

yomerge the 3 sheets & roll up daily cost vs revenue

✓ merged 3 → 1 · daily_pnl · 18,204 rows

✓ rolled up · cost vs revenue by day · gen #204

yomake it a dashboard I can share

✓ published · live · auto-refreshes on every write

📊

tabledi.com/d/ops-pnl · live dashboard · updating

What your agent gets done

Say it in plain English. Your agent makes it real.

tabledi ships no AI of its own — your coding agent drives it. One tool surface underneath, so every step is the same whether it comes from chat, CLI, or MCP.

🔗

Connect anything

Postgres, MySQL, Mongo, Google Sheets, CSV — linked live and auto-syncing.

You say"connect my Google Sheets"

tabledi channel add gsheets://ops

🧮

Merge & shape

Joins, rollups, formulas, dedupe — derived tables that recompute incrementally.

You say"merge these into a daily P&L"

tabledi derive merge ops.* --rollup day

📊

Live dashboards

A shareable URL that refreshes itself on every write — no exports, no stale screenshots.

You say"make it a dashboard I can share"

tabledi dashboard publish --live

💬

Ask in plain language

Your agent turns questions into queries — deterministic, generation-stamped answers.

You say"top 10 regions by margin"

tabledi query 'SELECT region…'

🎯

Same answer, every time

Ask the same thing 100 times, get the same number 100 times — with lineage you can replay.

You getgen-stamped, verifiable results

→ gen #204 · deterministic

🔒

Run it yourself

A single Rust binary on your infra, or embedded in-process over a C ABI. No data leaves.

You say"keep our data in-house"

tabledi serve --self-host

Real example

Point it at anything — even a game's design docs.

No schema, no ETL. Your agent reads the scattered sources, understands them, and ships a typed, queryable table — then you can pivot, chart, or share it.

tabledi skill · Claude Code

yopull epochs e1–e10 out of our game design into a table

✓ read 6 JSON + design docs · understood the progression

✓ created sheet · 10 rows × 11 cols · in tabledi

✓ query · deterministic · gen #1

epoch	name	scale	mult
e1	前FTL时代	行星	1
e2	FTL觉醒	恒星系	3
e3	星际扩张	恒星系	9
e4 ⚡	银河整合	星团	27
e5	巨构工程	星河	81
e6	超越纪元	星河	243
e7 ⚡	维度前沿	维度	729
e8	远古遗产	膜宇宙	2,187
e9	飞升纪元	规则	6,561
e10 ⚡	超越一切	规则	19,683

A dozen scattered files in. One typed, queryable, generation-stamped table out — the same engine that ships your daily P&L.

Connect

Your agent. Your model key. tabledi's data.

The coding agent you already run drives tabledi three ways — write once, both Claude Code and Codex eat it.

⌘ CLI

$ tabledi login$ tabledi channel add …$ tabledi query '…' REST command surface — optimistic-locked, audited, deterministic.

⚡ MCP

/mcp/v1 + stdio bridgetools · resources · auth, scoped by X-Tabledi-Workspace. Per-tenant guarded writes — rate, blast-radius, audit via tabledi-guard.

📦 Skill

skills/tablediOne SKILL.md teaches the agent when & how to reach for CLI / MCP. Same file works in Claude Code and Codex — write once, both eat it.

The engine

Built for scale you can verify.

A columnar slot+pool engine in Rust — predicate pushdown, generation-stamped lineage, Arrow snapshots. The numbers are from its own benchmarks.

0.44ms

1M-row rollup

Columnar pushdown — 215× over row-based. COUNTIF lands 411×.

100/100

Deterministic

Same query, same answer, every run — generation-stamped.

~0.5s

Bulk ingest

75,000-row import — columnar-native, no row↔column thrash.

1 binary

Self-hostable

Your infra, or in-process over a C ABI. WASM next.

Install

From zero to a live dashboard in 60 seconds.

Install the command surface, log in, then hand it to your agent.

~/your-project

# 1 · install the command surface

$ ./scripts/install.sh # or: cargo install --path binaries/tabledi-cli

$ tabledi login

# 2 · hand it to your agent

$ claude mcp add tabledi --stdio tabledi-mcp-server

# codex: add [mcp_servers.tabledi] to ~/.codex/config.toml

# 3 · then just talk to it

› connect my Sheets and build a live cost-vs-revenue dashboard ✓

Pricing — one base, tier = rung

Start free. Self-host when it matters.

Free

The 1M shared pool

✓ multi-tenant shared base
✓ full CLI + MCP + skill
✓ evicted on logout

Try it

Give your agent a table it can trust.

Deterministic, self-hostable, built for millions of rows — driven by the coding agent you already use.

Get started Read the docs