DataSinking 远程 MCP 服务器是什么?
DataSinking 的远程 MCP 服务器是一个托管的 Model Context Protocol 端点,地址是 https://api.datasink.ing/mcp,AI 助手无需在本地安装或运行任何东西即可连接。
@heubme2020
基本信息
Full-text financial reports from the US, China, Japan, Korea and Taiwan as clean Markdown for AI agents, RAG and quantitative workflows.
https://api.datasink.ing/mcpclaude mcp add datasinking --transport http https://api.datasink.ing/mcp --header "Authorization: Bearer YOUR_KEY"List 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.
Full-text financial reports from the US, China, Japan, Korea and Taiwan as clean Markdown for AI agents, RAG and quantitative workflows.
DataSinking 的远程 MCP 服务器是一个托管的 Model Context Protocol 端点,地址是 https://api.datasink.ing/mcp,AI 助手无需在本地安装或运行任何东西即可连接。
把端点 https://api.datasink.ing/mcp 添加到任意支持 MCP 的客户端,比如 Claude Code、Cursor 或 VS Code。本页的接入代码块可以一步配置好每个客户端。
需要。DataSinking 需要一个 API key——具体获取方式请查看官方文档,拿到后填进客户端配置里即可。
DataSinking 暴露的是 streamable-http 端点,这是远程 MCP 服务器普遍使用、主流客户端都支持的传输方式。
Understand and troubleshoot your Journeys and Campaigns
Ideate, create, and deliver with Adobe pro tools
AdaptlyPost: Schedule and publish social posts to Instagram, TikTok, YouTube, X, Facebook, LinkedIn, Pinterest, Threads, and Bluesky from any MCP client.
Write, schedule and publish LinkedIn posts in your own voice, reply to comments and read your analytics, all from your AI assistant. Remote MCP server with OAuth sign-in.
Email for long-term client relationships: ARVX reads each person first and remembers every pair.
评论