mcp server
tw-market-data
Taiwan stock market data (TWMD): official-source, point-in-time-safe datasets via read-only tools.
Description as published by the maintainer. Source
- version 1.28.1
- active
active — Registry entry last updated 2026-07-22.
What this server can do
4 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
describe_dataset(dataset_id)- FULL semantics of one dataset: grain (what a row is), field meanings+units, ★TIME-CORRECTNESS rules (knowledge_time_field / point_in_time_safe — read before backtesting), relations for cross-table reasoning, agent_hints (when to use), quant_use (which factors). Args: dataset_id. Required: dataset_id.
find_related(ticker, dataset_id)- Traverse the knowledge graph for cross-table / supply-chain reasoning. - dataset_id: returns join-able datasets (+why) to plan multi-table analysis. - ticker: returns its industry value-chain node + peers in the same node (supply-chain reasoning). Args: dataset_id (e.g. 'equity_daily_prices') and/or ticker (e.g. '2330').
list_datasets(tier, category)- List available Taiwan-market datasets (discovery entry point). Returns id / 中文名 / category / tier / one-line description for each. Use this first to find the right data. Args: category: optional, e.g. 'chip'(籌碼) 'fundamental'(基本面) 'price'(行情) 'macro'(總經) 'relation'(關聯/產業鏈) 'derivatives'(期權) 'event'(事件) 'rag_text'(文本). tier: optional minimum plan: 'free' 'starter' 'pro' 'max' 'developer' 'enterprise'.
query_dataset(end, as_of, limit, start, tickers, dataset_id)- Query rows with built-in look-ahead protection. ★ POINT-IN-TIME: pass `as_of` (YYYY-MM-DD) for backtesting/agent-learning. For non-point-in-time-safe datasets (fundamentals, monthly_revenue, dividend_policy…) rows are filtered by DISCLOSURE date <= as_of, so the agent only sees what was public at that moment. Omit as_of only for present-day lookups (warned). Args: dataset_id: see list_datasets. tickers: e.g. ['2330','2317']. start/end: 'YYYY-MM-DD' range. as_of: knowledge-time cutoff 'YYYY-MM-DD' (use for backtests). limit: <=5000. Returns: {meta:{table,coverage,row_count,as_of_applied,point_in_time_safe,warnings}, data:[...]} Example: query_dataset('fundamental_income', tickers=['2330'], as_of='2023-06-30') Required: dataset_id.
Last successful function declaration observed on . Source: https://mcp.twmarketdata.com/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://mcp.twmarketdata.com/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| Latest published version | 1.28.1 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-22 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-07-22 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| mcp tools declared | 4 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | mcp.twmarketdata.com | |
| mcp endpoint status | ok | The server listed 4 functions when asked. | as of probe | mcp.twmarketdata.com |
Where to get it
This record as data
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