INDIVIDUAL MCP TOOL
supply_chain_read
供應鏈與同業:產業鏈位置、同業分組、轉投資、外銷訂單 vs 營收。 ★ 事實整理,不是投資建議、不是預測。輸出帶 `does_not_prove`。 ★ ⚠️ `company_peer_groups` 無日期欄:指定過去的 `as_of` 時,回的是**現況**分組, `pit_notes` 會標「非當時分類」。 ★ ⚠️ 質化的客戶/供應商關係與分部營收在年報附註,那條來源**尚未建置** —— 固定列在 `cannot_see`(status=no_loader),不是這次查失敗。 ★ Args:`ticker`(例如 "2330")、`as_of`(選填)。 ★ Returns:誠實信封;外銷訂單與營收的背離會 listed in `concerns`。 ★ 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 supply_chain_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.