Taiwan dataMCP：台灣開放資料的 AI 整合接口

🎉 Free during alpha · sign up now

# Taiwan dataMCP Hub

**MCP is the open protocol for AI agents — Claude, Cursor, OpenClaw, Hermes, your own agent loop.** Twinkle Hub bundles Taiwan data sources behind a single MCP endpoint — set your client up once, AI can query datasets, run SQL, and call tools.

[Sign up free→](https://hub.twinkleai.tw/en/login) [See pricing](https://hub.twinkleai.tw/en/pricing)

✨ One-paste install

Paste this to Claude — it'll set up the MCP for you

Copy

``` Add Twinkle Hub to my Claude Desktop. Edit ~/Library/Application Support/Claude/claude_desktop_config.json (Windows: %APPDATA%\Claude\claude_desktop_config.json).

Merge in this block: { "mcpServers": { "twinkle-hub": { "type": "http", "url": "https://api.twinkleai.tw/mcp/", "headers": { "Authorization": "Bearer <I'll paste from https://hub.twinkleai.tw/dashboard>" } } } }

If an mcpServers block already exists, merge — don't overwrite. Then ask me to restart Claude and list the 5 new opendata-* tools. ```

Also works in Cursor / Claude Code / any MCP client. Full install paths in [/docs](https://hub.twinkleai.tw/en/docs).

🎁 Free during alpha: all tools, no monthly cap, no rate limits (within fair-use).

52,960

Datasets

Layer 1: OpenData

19

Domains

auto-classified

42

TW utility tools

Layer 2: local-first

8

BYO connectors

Layer 3: client-side

Compatible with

Twinkle Hub speaks MCP. So does every client below.

- ClaudeClaude - CursorCursor - Google GeminiGemini - OpenAIOpenAI - 🦞OpenClaw - Hermes - OllamaOllama - Continue - ClineCline

Plus your own — MCP is an open protocol.

Why this exists

## Taiwan data is scattered across 100+ portals. AI app builders don't have time to wire each one.

Twinkle Hub bundles them into a single MCP service: discover datasets, fetch rows, join across tables, pay — all on one endpoint. Phase one is making **data.gov.tw** excellent; more sources (industry associations, local governments, commercial data) come next.

01

### One MCP endpoint

Every source, every domain, every tool under the same URL. Configure your client once.

02

### Deterministic billing

Fixed price per tool — no token-based gambling. Prepaid wallet, hard cutoff, no surprise bills.

03

### License compliance

Original license metadata is passed through end-to-end so downstream apps don't trip license terms.

04

### MCP-native protocol

tools/list / tools/call are native endpoints, not OpenAI tool-calling translated. Claude / Cursor / OpenClaw / Hermes / Continue / Cline / your own agent loop — same wire format, no SDK, no adapter.

Marketplace preview

## 19 domains covering all of data.gov.tw

From real estate, healthcare and environment to foreign affairs and agriculture — all 52,960 datasets are auto-classified.

[See the full marketplace→](https://hub.twinkleai.tw/en/data)

[**Real Estate & Land**`realestate_land`\\ Land, buildings, urban planning, land prices, building permits, property transactions, rents.\\ \\ Typical question\\ \\ 「某地段近一年實價中位數」\\ \\ See domain detail→](https://hub.twinkleai.tw/en/data/realestate_land) [**Transport, Roads & Parking**`transport`\\ Highway, rail, air, marine, parking, traffic flow, accidents.\\ \\ Typical question\\ \\ 「某路口近一年事故數」\\ \\ See domain detail→](https://hub.twinkleai.tw/en/data/transport) [**Healthcare, Food & Drugs**`health_food`\\ Medical facilities, NHI, food safety, drug approvals, disease statistics.\\ \\ Typical question\\ \\ 「住家附近健保藥局」\\ \\ See domain detail→](https://hub.twinkleai.tw/en/data/health_food)

Why Twinkle Hub

## Downloading 53,000 datasets is easy. Making them usable to AI is the hard part.

Making Taiwan open data usable to AI isn't a one-off catalog download. We handle the cleanup, conversion, classification, and querying — your AI just calls the API instead of crawling a hundred different portals.

52,960 / 19

### 53,000 datasets, sorted automatically

All 52,960 datasets on data.gov.tw, sorted into 19 categories. New ones land in the right place the next day — the index never ages out.

10\+ formats

### All the file formats, one shape

CSV, JSON, Excel, PDF, geo files — whatever the format, we read it and clean up the column names. Your AI doesn't choke just because one source is PDF and another is XLSX.

~50 ms

### Ask a question, answer in 50 ms

Want your AI to query data on specific conditions? We have a query layer — about 50 ms across all 53,000 datasets. We don't dump a zip and tell you to process it yourself.

Daily refresh

### Synced with the government every day

A daily cron pulls the latest catalog, picks up what's new or retired, runs classification. The data stays fresh — it doesn't go stale because we forgot to update.

Beyond the data

## Two things we wired up alongside

OpenData is the main course. These two also matter for agents — we did them too.

[32 TW utility tools\\ **Your local model won't hallucinate Taiwanese addresses** \\ Open-weights models are unreliable on Taiwan-specific tasks — wrong tax-ID checksums, made-up street numbers, garbled agency names. Twinkle Hub's 32 TW utility tools are deterministic functions — pass an address in, get a normalised address + district code + postcode out. No model guessing.\\ \\ See all 32 tools→](https://hub.twinkleai.tw/en/tools) [BYO MCP connectors\\ **Notion / Sentry / n8n etc — install in your local client** \\ These run in your local Claude Desktop / Cursor, tokens stay on your machine — twinkle-hub never collects, stores, or proxies them. We just ship the install guide + a one-click JSON snippet. You own the whole path.\\ \\ See 6 connectors→](https://hub.twinkleai.tw/en/mcp)

Who it's for

## Three roles, three paths

[AI user\\ **Paste a prompt into Claude — start querying Taiwan data** \\ No code. Claude Desktop, Cursor, ChatGPT, OpenClaw, Continue, Cline — any MCP-aware client. Paste the prompt from the homepage and the AI sets itself up.\\ \\ User docs→](https://hub.twinkleai.tw/en/docs?aud=user) [Developer\\ **Bake the data into your AI app** \\ curl / fastmcp Python / your own agent — call it any way you like, with transparent per-request billing you can audit.\\ \\ Dev docs→](https://hub.twinkleai.tw/en/docs?aud=dev) [Self-host / open-weights\\ **OpenClaw, Hermes Agent, or your own agent loop** \\ Full local / self-host stack: vLLM, SGLang, Ollama running your model; OpenClaw, Hermes Agent, or your own loop running the agent; Twinkle Hub feeding it Taiwan data. No commercial inference provider in the path. Our MCP endpoint is open at the protocol level — change one URL and you're gone.\\ \\ See self-host docs→](https://hub.twinkleai.tw/en/docs?aud=self-host)

## Ready to plug Taiwan data into your AI?

Free during alpha — no usage cap.

[Get started](https://hub.twinkleai.tw/en/login)