INDIVIDUAL MCP TOOL
macro_regime_read
總經 Regime:景氣信號、利率與殖利率曲線、匯率、資金流。 ★ 這支講的是**整個市場**,不是任何一檔個股 —— 所以它不收 ticker。 ★ 事實整理,不是投資建議、不是預測。輸出帶 `does_not_prove`。 ★ ⚠️ `macro_worldbank` 類的來源會**回溯修訂**歷史年度:今天讀到的舊年度數字 和當時看到的不是同一個,`pit_notes` 會標出來。 ★ Args:只有 `as_of`(選填)—— 它**不收 ticker**,因為主體是整個市場。 ★ Returns:同一個誠實信封;`subject` 固定是 "TW_MARKET"。 ★ 例如問「現在景氣循環在哪個位置」就是這一支,而不是問某一檔。 ★ PRECONDITIONS:自己取數;requires 一個已識別的 session。 ★ SIDE EFFECTS:read-only,does not 寫入。
LIVE ENDPOINT
https://mcp.twmarketdata.com/mcp
Connect to this endpoint to inspect the live schema for macro_regime_read and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Inferred read-only · medium confidence · heuristic, not a guarantee.
- No write-capable action terms were found; this is not proof that invocation has no side effects.
Parent server
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.tw-market-data]
url = "https://mcp.twmarketdata.com/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"tw-market-data": {
"type": "http",
"url": "https://mcp.twmarketdata.com/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: tw-market-data
Remote MCP URL: https://mcp.twmarketdata.com/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"tw-market-data": {
"url": "https://mcp.twmarketdata.com/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"tw-market-data": {
"type": "http",
"url": "https://mcp.twmarketdata.com/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "tw-market-data",
"transport": "streamable-http",
"url": "https://mcp.twmarketdata.com/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
list_datasets— List available Taiwan-market datasets (discovery entry point).describe_dataset— 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).query_dataset— Query rows with built-in look-ahead protection.find_related— Traverse the knowledge graph for cross-table / supply-chain reasoning.search_filings— Semantic search over MOPS filings, financial-statement notes and company news.explain_provenance— Where did this number come from, and when could anyone have known it?get_inclusion_proof— Prove a row was in the snapshot TWMD published — and check it yourself.cite_this— Produce a bibliographic citation for TWMD data — APA, BibTeX, and a re-verifiable token.