DataSinking のリモート MCP サーバーとは何ですか?
DataSinking のリモート MCP サーバーは、https://api.datasink.ing/mcp にホストされた Model Context Protocol エンドポイントです。AI アシスタントはローカルに何もインストール・実行することなく接続できます。
DataSinking MCP Server
@heubme2020
基本情報
DataSinking MCP Server について
Full-text financial reports from the US, China, Japan, Korea and Taiwan as clean Markdown for AI agents, RAG and quantitative workflows.
接続情報
https://api.datasink.ing/mcpセットアップ
claude mcp add datasinking --transport http https://api.datasink.ing/mcp --header "Authorization: Bearer YOUR_KEY"DataSinking MCP Server のツール
6List the exchanges DataSinking covers. Returns exchange codes (bj / br / by / jpx / koe / ksc / lk / lse / nasdaq / np / nyse / otc / pk / rs / sse / szse / tpex / twse) with the number of reports available per exchange. Call this first to discover coverage. Sources: US = SEC EDGAR, A-shares = cninfo.com.cn, Japan = EDINET, Korea = DART, Taiwan = MOPS, UK = FCA NSM, Nepal = NEPSE, Brazil = CVM, Belarus = ЕПФР, Sri Lanka = CSE, Pakistan = PSX, Serbia = SEC register.
List the stocks on one exchange, including the report count per company.
List a company's reports — metadata only (id, title, period), no body text. Each item carries a `source` field naming the official disclosure platform; keep that attribution when you cite it. Look up by `symbol` (FMP-style, e.g. AAPL / 600519.SS / NABIL.NP) or by `exchange` + `stock_code` (from list_stocks) for markets whose codes aren't ticker-shaped (e.g. Brazil CNPJ, Sri Lanka 'AAA.N0000').
Fetch one report's full text (metadata + Markdown body). The `source` field names the official disclosure platform; keep that attribution when you cite it. Expensive in tokens — prefer get_section when you only need one chapter. Content is annotated with block markers (`<!-- ds:block:N -->`) so you can cite a specific paragraph or table.
List every section of a report with its size, before you decide what to pull. Returns `sections` (titles, in order) plus `section_details` — same order, one entry per section with `title`, `has_tables`, `chars` and `estimated_tokens`. Use `estimated_tokens` to avoid pulling a chapter that would blow your context, and `has_tables` to know whether the chapter needs special handling (tables are the part RAG pipelines usually get wrong). Then call get_section with a heading keyword — the headings are in the report's own language.
Fetch only one section of a report by keyword — much cheaper than get_report, best for RAG. Content is annotated with block markers (`<!-- ds:block:N -->`) so you can cite a specific paragraph or table.
概要
What is DataSinking?
Full-text financial reports from the US, China, Japan, Korea and Taiwan as clean Markdown for AI agents, RAG and quantitative workflows.
Documentation
よくある質問
DataSinking の MCP サーバーにはどう接続しますか?
エンドポイント https://api.datasink.ing/mcp を Claude Code、Cursor、VS Code など任意の MCP 対応クライアントに追加してください。このページのセットアップ手順で各クライアントを一度に設定できます。
DataSinking の MCP サーバーは認証が必要ですか?
はい。DataSinking は API キーが必要です——取得方法は公式ドキュメントを確認し、クライアントの設定に追加してください。
DataSinking の MCP サーバーはどのトランスポートを使用しますか?
DataSinking は streamable-http エンドポイントを公開しており、これはリモート MCP サーバーで広く使われ、主要な MCP クライアントがサポートするトランスポートです。
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