Skip to main content
ClaudeWave

Full-text Asian financial reports (China, Japan, Korea, Taiwan) as clean Markdown — REST API + MCP server for LLMs, RAG and quant

MCP ServersOfficial Registry16 stars3 forksPythonMITUpdated today
ClaudeWave Trust Score
95/100
Verified
Passed
  • Open-source license (MIT)
  • Actively maintained (<30d)
  • Clear description
  • Topics declared
  • Documented (README)
Last scanned: 9/22/2026
Install in Claude Code / Claude Desktop
Method: pip / Python · datasinking
Claude Code CLI
claude mcp add datasinking -- python -m datasinking
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "datasinking": {
      "command": "python",
      "args": ["-m", "datasinking"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Install first: pip install datasinking
Use cases

MCP Servers overview

# DataSinking

<!-- mcp-name: io.github.heubme2020/datasinking -->

[![PyPI version](https://img.shields.io/pypi/v/datasinking.svg)](https://pypi.org/project/datasinking/)
[![MCP server](https://img.shields.io/badge/MCP-server-blue)](https://github.com/heubme2020/datasinking#mcp-server)

**Full-text financial reports across Asia, as clean Markdown.**

[DataSinking](https://datasink.ing) serves **full-text financial reports** — annual, semi-annual
and quarterly — from **China, Korea, Japan and Taiwan** as clean **Markdown**, ready for LLM reading
and RAG. Query by FMP-style symbol (`600519.SS`, `005930.KS`, `7203.T`, `2330.TW`) or filter by
exchange, report period, or **section** — pull just the MD&A / risk section instead of the whole
report. Reports are sourced from official disclosure platforms and parsed into structured Markdown
with YAML frontmatter, preserved headings, paragraphs and tables.

---

## MCP server

Ship DataSinking to any AI agent (Claude / Cursor / Codex / Windsurf) as an
[MCP](https://modelcontextprotocol.io) server — 6 tools: list exchanges, list stocks,
list reports, fetch a report, list sections, fetch one section (token-friendly for RAG).

### Hosted — nothing to install

Point any MCP client at our endpoint and you're done. No package, no Python, no local server:

```json
{
  "mcpServers": {
    "datasinking": {
      "type": "http",
      "url": "https://api.datasink.ing/mcp?apikey=YOUR_KEY"
    }
  }
}
```

Claude Code, in one line:

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

Your key rides inside the URL, so treat that config as a secret. Clients that support custom
headers can send `Authorization: Bearer YOUR_KEY` instead — Claude Code redacts headers in its
output but can't redact a URL.

### Local — run it yourself

If you'd rather keep everything on your own machine:

```bash
pip install "datasinking[mcp]"
datasinking-mcp          # requires DATASINK_API_KEY (free at https://datasink.ing)
```

Then use `command: datasinking-mcp` in your client.

Full per-client setup: [`mcp-server.md`](mcp-server.md).

![DataSinking MCP in Claude](docs/images/mcp-demo.png)

## What this repo is

Examples, research and tutorials showing how to work with financial report data, including reproducing the presentation styles found in financial-report research papers.

```
datasinking/
├── examples/     # Example scripts: pull data from the API and analyze it
├── research/     # Research notes / blog posts (reproducing paper-style presentation)
├── datasinking/  # Python client + MCP server — pip install "datasinking[mcp]"
├── mcp-server.md # How to configure the MCP server (for AI agents: Claude / Cursor / Codex / DeepSeek)
├── llm-examples.md  # Ask an LLM — no code needed (8 end-to-end examples)
├── api-examples.md  # 7 examples × 3 interfaces (curl / Python / LLM)
└── README.md
```

## Quick start

1. Get an API key at [datasink.ing](https://datasink.ing)
2. One line (FMP-style `?apikey=`):

```bash
curl "https://api.datasink.ing/documents?symbol=600519.SS&with_content=1&apikey=YOUR_KEY"
```

Or in Python:

```bash
pip install datasinking
```

```python
from datasinking import DataSinking

ds = DataSinking("YOUR_KEY")
for r in ds.get_stock_reports("600519.SS", limit=3):
    print(r["report_period"], r["title"], len(r["content"]), "chars")
```

All five functions (curl / Python / LLM): [`api-examples.md`](api-examples.md).

## Ask an LLM (no code)

Don't want to write code? Point any LLM at [datasink.ing](https://datasink.ing),
give it your API key, and ask in plain language. See
[`llm-examples.md`](llm-examples.md) for eight end-to-end examples — explore
coverage, list a company's reports, and extract a figure with correct units.

## Examples (`examples/`)

| File | What it does |
|---|---|
| `01_quickstart.py` | The 5 core functions: list exchanges / stocks / reports / fetch a report / fetch a stock's reports |
| `02_download_company.py` | Download a company's full reports to local Markdown files |
| `03_download_exchange.py` | Download an entire exchange's reports (all stocks) to local Markdown files |

Every example pulls from the live API and runs as-is.

> `03_download_exchange.py` fetches every report on an exchange (e.g. all of Shenzhen — 150k+ documents). Quotas count **documents, not requests**, over a rolling 7-day window: a free key gets 3 req/s and 8,191 documents per 7 days, inside a pool of 524,287 per 7 days shared by all free users and website visitors. A whole exchange will therefore take well over a week on a free key — a **paid (yearly)** key (31 req/s, 524,287 documents per 7 days) is strongly recommended.

## Research (`research/`)

`research/` hosts research notes and blog posts, each based on DataSinking data with the source cited. You can reproduce charts and presentations found in financial-report research papers, e.g.:

- Long-term revenue / profit trends
- Industry comparison and distribution
- Time series of financial metrics

Start from [`research/TEMPLATE.md`](research/TEMPLATE.md).

## Data overview

| | |
|---|---|
| Coverage | China (SSE / SZSE / BSE) · Korea (KOSPI / KOSDAQ / KONEX) · Japan (TSE) · Taiwan (TWSE / TPEx) |
| Document types | annual / semiannual / q1 / q3 / amendment |
| Update frequency | Daily — Korea/Japan via official DART/EDINET APIs (new filings within ~24h of publication) |
| Format | Full-text Markdown (with YAML frontmatter) |
| API | REST — `GET /documents`, batch download, `with_content=1` for full text, `?section=` + `/sections` for chapter-level access |
| Symbols | FMP style: `600519.SS` / `005930.KS` / `7203.T` |
| Auth | `?apikey=` query parameter (FMP style) |

## Data source

Reports are sourced from the official regulatory disclosure platform of each market and converted in-house to clean Markdown:

| Market | Source | Platform |
|---|---|---|
| China A-shares (`.SS` `.SZ` `.BJ`) | 巨潮资讯网 cninfo | CSRC-designated disclosure platform |
| Korea (`.KS` `.KQ` `.KN`) | DART | Financial Supervisory Service — opendart.fss.or.kr |
| Japan (`.T`) | EDINET | Financial Services Agency — disclosure2.edinet-fsa.go.jp |
| Taiwan (`.TW` `.TWO`) | 公開資訊觀測站 MOPS | Taiwan Stock Exchange — mops.twse.com.tw |

Every document also carries a `source` field in the API response, so the attribution travels with the data. **Please keep it when you redistribute.**

## License

[MIT](LICENSE)
a-shareapiasianedinetfinancefinancial-datafinancial-reportsjapan-stockkorea-stockllmmarkdownmcpmcp-servermodel-context-protocolmopsopendartragstock-datataiwan-stocktwse

What people ask about datasinking

What is heubme2020/datasinking?

+

heubme2020/datasinking is mcp servers for the Claude AI ecosystem. Full-text Asian financial reports (China, Japan, Korea, Taiwan) as clean Markdown — REST API + MCP server for LLMs, RAG and quant It has 16 GitHub stars and its last recorded update is dated 2026-09-22.

How do I install datasinking?

+

You can install datasinking by cloning the repository (https://github.com/heubme2020/datasinking) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is heubme2020/datasinking safe to use?

+

Our security agent has analyzed heubme2020/datasinking and assigned a Trust Score of 95/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.

Who maintains heubme2020/datasinking?

+

heubme2020/datasinking is maintained by heubme2020. The last recorded GitHub activity is dated 2026-09-22, with 0 open issues.

Are there alternatives to datasinking?

+

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

Deploy datasinking to your cloud

Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.

Maintain this repo? Add a badge to your README

Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.

Featured on ClaudeWave: heubme2020/datasinking
[![Featured on ClaudeWave](https://claudewave.com/api/badge/heubme2020-datasinking)](https://claudewave.com/repo/heubme2020-datasinking)
<a href="https://claudewave.com/repo/heubme2020-datasinking"><img src="https://claudewave.com/api/badge/heubme2020-datasinking" alt="Featured on ClaudeWave: heubme2020/datasinking" width="320" height="64" /></a>

More MCP Servers

datasinking alternatives