DataSinking
NPM · DATASINKING-MCP · 3 COMPONENTS · SCANNED SEP 25
Full-text Asian financial reports (China, Korea, Japan, Taiwan) as clean Markdown for RAG agents.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 31 of 95 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency48
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 2 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability81
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 767 tokens (~127/item across 6 items; 6 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 6 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 7 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Unverified: 1 category
A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
How do I install the DataSinking MCP server?
DataSinking runs locally as an npm package, launched with npx -y datasinking-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · datasinking-mcp
claude mcp add heubme2020-datasinking -- npx -y datasinking-mcp
{
"mcpServers": {
"heubme2020-datasinking": {
"command": "npx",
"args": [
"-y",
"datasinking-mcp"
]
}
}
} {
"servers": {
"heubme2020-datasinking": {
"command": "npx",
"args": [
"-y",
"datasinking-mcp"
]
}
}
} codex mcp add heubme2020-datasinking -- npx -y datasinking-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"heubme2020-datasinking": {
"type": "local",
"command": [
"npx",
"-y",
"datasinking-mcp"
],
"enabled": true
}
}
} openclaw mcp add heubme2020-datasinking --command npx --arg -y --arg datasinking-mcp
mcp_servers:
heubme2020-datasinking:
command: "npx"
args: ["-y", "datasinking-mcp"] {
"McpServers": {
"heubme2020-datasinking": {
"Transport": "stdio",
"Command": "npx",
"Arguments": [
"-y",
"datasinking-mcp"
]
}
}
} assistant mcp add heubme2020-datasinking -t stdio -c npx -a -y datasinking-mcp
{
"mcpServers": {
"heubme2020-datasinking": {
"command": "npx",
"args": [
"-y",
"datasinking-mcp"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 25 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 22 Sept 26 72
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 25 Sept 2026 · Analysed npm/datasinking-mcp@0.2.10
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Dependencies 95 packages
| Packages resolved | 95 |
|---|---|
| Stale | 31 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
get_report ~71
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.
| Name | Type | Req | Description |
|---|---|---|---|
| document_id | integer | yes | Report id, from list_reports items[].id |
No output schema declared.
No examples provided.
get_section ~154
Fetch only one section of a report by keyword — much cheaper than get_report, best for RAG.
| Name | Type | Req | Description |
|---|---|---|---|
| document_id | integer | yes | Report id, from list_reports items[].id |
| section | string | yes | Heading keyword, matched as a substring against the report's OWN headings, so pass it in the report's language. A-share reports have Chinese headings (e.g. 第三节管理层讨论与分析) — use 管理层讨论与分析 / 财务报告 there. F… |
No output schema declared.
No examples provided.
list_exchanges ~88
List the exchanges DataSinking covers. Returns exchange codes (sse / szse / bj / ksc / koe / knx / jpx / twse / tpex) with the number of reports available per exchange. Call this first to discover coverage. Sources: A-shares = cninfo.com.cn, Korea = DART, Japan = EDINET, Taiwan = MOPS.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
list_reports ~118
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.
| Name | Type | Req | Description |
|---|---|---|---|
| doc_type | string | – | Report type to filter on. Defaults to annual. |
| size | integer | – | Number of reports to return (default 10). |
| symbol | string | yes | FMP-style symbol, e.g. 600519.SS / 005930.KS / 7203.T / 2330.TW |
No output schema declared.
No examples provided.
list_sections ~141
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.
| Name | Type | Req | Description |
|---|---|---|---|
| document_id | integer | yes | Report id, from list_reports items[].id |
No output schema declared.
No examples provided.
list_stocks ~83
List the stocks on one exchange, including the report count per company.
| Name | Type | Req | Description |
|---|---|---|---|
| exchange | string | yes | Exchange code, e.g. sse / szse / bj / ksc / koe / knx / jpx / twse / tpex |
| limit | integer | – | Return only the first N companies (default 20) to keep the response short. |
No output schema declared.
No examples provided.
What is the DataSinking MCP server?
DataSinking is an MCP server listed in the public MCP registry as io.github.heubme2020/datasinking. Full-text Asian financial reports (China, Korea, Japan, Taiwan) as clean Markdown for RAG agents. This page covers its npm package (datasinking-mcp).
Is the DataSinking MCP server safe to use?
DataSinking scores 72 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 25 September 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the DataSinking MCP server expose?
DataSinking exposes 6 tools: list_exchanges, list_stocks, list_reports, get_report, list_sections, get_section. Their descriptions and schemas cost roughly 655 tokens of context every time the server is loaded.
Is the DataSinking MCP server still maintained?
DataSinking is still listed as active in the MCP registry. We last reached this channel on 25 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the DataSinking MCP server under?
DataSinking declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.