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DataSinking MCP Server

@heubme2020

基本信息

传输方式

streamable-http

认证方式

API Key

分类

数据与分析

作者

heubme2020

提交者

heubme2020

关于 DataSinking MCP Server

Full-text financial reports from the US, China, Japan, Korea and Taiwan as clean Markdown for AI agents, RAG and quantitative workflows.

#finance#financial reports#datasinking

连接信息

https://api.datasink.ing/mcp

接入方式

claude mcp add datasinking --transport http https://api.datasink.ing/mcp --header "Authorization: Bearer YOUR_KEY"

DataSinking MCP Server 工具

6

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.

概览

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

Website

常见问题

1

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。

2

怎么连接 DataSinking 的 MCP 服务器?

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。

3

DataSinking 的 MCP 服务器需要认证吗?

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。

4

DataSinking 的 MCP 服务器用的是哪种传输方式?

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。

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