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Korea Finance Factcheck

PYPI · KOREA-FINANCE-FACTCHECK

Fact-checks numbers in Korean finance writing against DART, Bank of Korea ECOS and US Treasury

63 Trust /100

Last scanned (5 hours ago)

Scores higher than 59% of PyPI servers

Category Finance and Payments

Trust breakdown (7 categories)

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 Security50
  • Malware scan not yet available for this package.Unverified
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs hatchling.build at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
  • 1 of 32 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency97
  • Source repository is publicly reachable at the declared URL. View diagnostics → Pass
  • Cryptographically verified build provenance (signed, bound to hs85-newbie/korea-finance-factcheck). View diagnostics → Pass
  • Clear OSI-approved license (MIT).Pass
  • Actively maintained (last published 1 days ago).Pass
  • Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability66
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 433 tokens (~86/item across 5 items; 5 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management7
  • Stability observed for 2 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage67
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 5 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 5 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
Changelog

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.

  • 5 Nov 26 −14
    • Malware scan: pass → unverified ▼ security
    • Stability: unverified → 0.07 ▲ functional
  • 4 Nov 26 +15
    • Malware scan: unverified → pass ▲ security
  • 3 Nov 26 62

    First indexed and scored.

Diagnostics

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 5 Nov 2026 · Analysed pypi/korea-finance-factcheck@0.2.0

Provenance Verified

A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.

Result Verified
Ecosystem pypi
Reason Verified
Discovered via Registry attestation endpoint
Source repo hs85-newbie/korea-finance-factcheck
Certificate issuer https://token.actions.githubusercontent.com
Certificate SAN https://github.com/hs85-newbie/korea-finance-factcheck/.github/workflows/publish.yml@refs/tags/v0.2.0
Rekor log index 3669859065
Predicate type PyPI publish attestation https://docs.pypi.org/attestations/publish/v1
Subject digest sha256:19a4b5ad87ca2812e4d8a4a134c7a708a259b95a513018be725267ae012ff52f

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
build_backend allowlisted hatchling.build

Background: Why install scripts are a supply-chain risk →

Dependencies 32 packages
Packages resolved 32
No linked repository 1
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 5 exposed · ~433 tokens

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 →

Tool Tokens
check_all ~45

위 검사를 한 번에 돌린다. 하나가 실패해도 나머지 결과는 돌려준다.

NameTypeReqDescription
as_of–––
textstringyes–

No output schema declared.

No examples provided.

check_market_numbers ~105

미국 국채금리(재무부)와 코스피 종가·한국 기준금리·환율(한국은행 ECOS)을 그날 공식값과 대조한다. as_of 는 글을 쓴 날(YYYY-MM-DD). 없으면 본문의 '**작성**: 날짜' 줄, 그것도 없으면 오늘. ECOS 항목은 ECOS_API_KEY 가 필요하다.

NameTypeReqDescription
as_of–––
textstringyes–

No output schema declared.

No examples provided.

check_ratio_direction ~69

'X 1주당 Y n주' 문장이 공시 원문(본문의 접수번호로 조회)이나 본문 안의 'A : B = 1 : x' 표기와 반대로 적혔는지 본다.

NameTypeReqDescription
textstringyes–

No output schema declared.

No examples provided.

check_stock_closes ~128

'삼성전자(005930) … 종가 214,500원'처럼 적힌 종목 종가를 한국거래소(KRX) 공식 종가와 대조한다. 등락률은 보지 않는다. KRX_API_KEY 가 필요하고, KRX Open API 약관상 비상업 목적에만 쓸 수 있다. as_of 는 글을 쓴 날(YYYY-MM-DD). 없으면 본문의 '**작성**: 날짜' 줄, 그것도 없으면 오늘.

NameTypeReqDescription
as_of–––
textstringyes–

No output schema declared.

No examples provided.

check_unit_errors ~86

본문에 '회사명(종목코드)'와 함께 적힌 매출·영업이익·순이익이 DART 사업보고서 값과 10배·100배 어긋나는지 본다. DART_API_KEY 가 필요하다. 조회가 안 되면 skipped 에 이유를 남긴다.

NameTypeReqDescription
textstringyes–

No output schema declared.

No examples provided.

Install

How do I install the Korea Finance Factcheck MCP server?

Korea Finance Factcheck runs locally as a PyPI package, launched with uvx korea-finance-factcheck. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · korea-finance-factcheck

# add to Claude Code
claude mcp add hs85-newbie-korea-finance-factcheck -- uvx korea-finance-factcheck
Common questions

What is the Korea Finance Factcheck MCP server?

Korea Finance Factcheck is an MCP server listed in the public MCP registry as io.github.hs85-newbie/korea-finance-factcheck. Fact-checks numbers in Korean finance writing against DART, Bank of Korea ECOS and US Treasury. This page covers its PyPI package (korea-finance-factcheck).

Is the Korea Finance Factcheck MCP server safe to use?

Korea Finance Factcheck scores 63 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. Its build provenance is signed and verified. 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 Korea Finance Factcheck MCP server expose?

Korea Finance Factcheck exposes 5 tools: check_unit_errors, check_ratio_direction, check_market_numbers, check_stock_closes, check_all. Their descriptions and schemas cost roughly 433 tokens of context every time the server is loaded.

Is the Korea Finance Factcheck MCP server still maintained?

Korea Finance Factcheck is still listed as active in the MCP registry. We last reached this channel on 5 November 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 Korea Finance Factcheck MCP server under?

Korea Finance Factcheck declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.