Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-06 00:22 UTC

shigechika / jquants-mcp

MCP server for Japanese stock market data via J-Quants API — tools for price history, financials, screeners, and candlestick charts

PythonMIT★ 2 stars⑂ 1 forksince Feb 2026View on GitHub ↗
KindCommand-line toolMCP serverLibraryhow this is determined
#claude#fastmcp#japan-stock#jquants#mcp#sqlite#stock-market#jpx

shigechika/jquants-mcp holds a health index of 81 out of 100, placing it in the Excellent band. It scores highest on Vitality (88/100) and lowest on Community & Adoption (47/100). It was last updated 4 days ago. A single contributor accounts for most of its recent work.

81
overall / 100
Excellent

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

81
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

The weighted overall 69 is calibrated to 81 on the published index scale (record calibration 2026-08-02).

Ownership

AIKAWA ShigechikaPersonal account
19 followers61 public repossince Apr 2010Nihon University

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIjquants-mcp1.3.02,99710514 days ago

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

88Excellent · 21% of overall

Development activity

80Excellent
How it's scored
36/36Push recency — last push 4 days ago
15.9/36Commit cadence — 23/52 weeks with commits
18/18Commit volume — 634 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 21 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year634
human_commit_share0.89
days_since_last_push4
active_weeks_last_year23

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 14 days ago
27/27Release cadence — a release every ~1.3 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv1.3.0
releases_from_tagsno
days_since_latest_release14
mean_days_between_releases1.3
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

47Weak · 17% of overall

Popularity & adoption

1Critical
How it's scored
0/60Stars — 2 stars
0/25Forks — 1 forks
0/15Watchers — 0 watchers
Inputs used
forks1
stars2
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateyes

Ecosystem adoption (downloads)

58Moderate
How it's scored
46.4/80Monthly downloads — 2,997 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesjquants-mcp
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,997
unverified_packages_excluded—
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

58Moderate · 23% of overall

Maintainer resilience (bus factor)

13Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

80Excellent
How it's scored
39.9/42Issue resolution — 95% of issues closed
29.4/30PR acceptance — 467/477 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs467
open_issues7
closed_issues137
prs_merged_7d0
prs_decided_7d0
prs_merged_30d44
prs_decided_30d44
issue_closed_ratio0.951
closed_unmerged_prs10
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

56Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
9.4/25Owner reach — 19 followers of shigechika
25/25Track record — 61 public repos, account ~16 yr old
Inputs used
followers19
owner_typeUser
is_verified—
owner_loginshigechika
public_repos61
account_age_days6,000
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 14 days ago
20/20Version history — 105 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesjquants-mcp
ecosystemspypi
any_deprecatedno
min_days_since_publish14

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 11 workflow(s)
24/24Tests present
16/16Linter config — ruff.toml
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://shigechika.github.io/jquants-mcp/
10/10Repository description
10/10Topics — 8 topics
0/10Wiki
Inputs used
topicsclaude, fastmcp, japan-stock, jquants, mcp, sqlite, stock-market, jpx
has_wikino
homepagehttps://shigechika.github.io/jquants-mcp/
docs_sitehttps://shigechika.github.io/jquants-mcp/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

62Moderate · 16% of overall

Security posture

53Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
0/10Dangerous-Workflow — dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 21 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6/7.5Vulnerabilities — 2 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.3
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages29
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:jquants-mcp@1.3.0 runtime dependency closure — what installing the published package pulls in — 29 packages. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

63Moderate · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — .github/copilot-instructions.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 89 of 89 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_files.github/copilot-instructions.md, CLAUDE.md
agent_instruction_max_bytes16,039

Verify loop (build / test / typecheck)

61Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — ruff.toml
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 42 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 11 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.42
toolchain_manifests—
dependency_bot_commit_share0.11

Code legibility for models

52Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
51.7/55Manageable file sizes — 6/101 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes172,824
source_files_sampled101
oversized_source_files6

Machine-readable interfaces

33At Risk
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
0/40Runnable examples
Inputs used
example_dirs—
has_mcp_signalyes
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

2GitHub stars
1contributors
634commits, last 12 months
4days since last push
100releases
1bus factor
7open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'jquants-mcp' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download figures for jquants-mcp carried forward from the previous scan (stats endpoint unavailable this scan)

More detail

OpenSSF Scorecard 5.3 / 10
5.3aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-09-06 00:21 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
0Dangerous-Workflowdangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 21 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
8Vulnerabilities2 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPImcp>=1.24,<2pyproject.toml
PyPIhttpx>=0.25.0pyproject.toml
PyPIcryptography>=41.0.0pyproject.toml
PyPItomli>=2.0.0pyproject.toml
All dependencies 91

Full resolved dependency set from the GitHub dependency graph: 4 direct and 87 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcryptography50.0.0direct
PyPIhttpx0.28.1direct
PyPImcp1.28.1direct
PyPItomli2.4.0direct
PyPIannotated-types0.7.0indirect
PyPIanyio4.12.1indirect
PyPIattrs25.4.0indirect
PyPIbabel2.18.0indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIbackrefs7.0indirect
PyPIcertifi2026.1.4indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.6indirect
PyPIclick8.3.1indirect
PyPIcolorama0.4.6indirect
PyPIexceptiongroup1.3.1indirect
PyPIghp-import2.1.0indirect
PyPIgoogle-api-core2.30.0indirect
PyPIgoogle-auth2.49.1indirect
PyPIgoogle-cloud-core2.5.0indirect
PyPIgoogle-cloud-firestore2.26.0indirect
PyPIgoogle-cloud-storage3.10.0indirect
PyPIgoogle-crc32c1.8.0indirect
PyPIgoogle-resumable-media2.8.0indirect
PyPIgoogleapis-common-protos1.73.0indirect
PyPIgrpcio1.80.0indirect
PyPIgrpcio-status1.80.0indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx-sse0.4.3indirect
PyPIidna3.15indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIjquants-api-client2.4.0indirect
PyPIjquants-mcp1.2.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPImarkdown3.10.2indirect
PyPImarkupsafe3.0.3indirect
PyPImcp-stdio0.42.0indirect
PyPImergedeep1.3.4indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocs-material9.7.6indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImkdocs-static-i18n1.3.1indirect
PyPInumpy2.2.6indirect
PyPInumpy2.4.6indirect
PyPInumpy2.5.2indirect
PyPIpackaging26.0indirect
PyPIpaginate0.5.7indirect
PyPIpandas2.3.3indirect
PyPIpathspec1.1.1indirect
PyPIplatformdirs4.9.2indirect
PyPIpluggy1.6.0indirect
PyPIproto-plus1.27.1indirect
PyPIprotobuf6.33.6indirect
PyPIpyasn10.6.4indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser3.0indirect
PyPIpydantic2.12.5indirect
PyPIpydantic-core2.41.5indirect
PyPIpydantic-settings2.14.2indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpymdown-extensions11.0.1indirect
PyPIpytest9.0.3indirect
PyPIpytest-asyncio1.3.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-multipart0.0.31indirect
PyPIpytz2026.3.post1indirect
PyPIpywin32311indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.33.0indirect
PyPIrespx0.22.0indirect
PyPIrpds-py0.30.0indirect
PyPIruff0.15.2indirect
PyPIsix1.17.0indirect
PyPIsse-starlette3.2.0indirect
PyPIstarlette1.3.1indirect
PyPItenacity8.5.0indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.3indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.41.0indirect
PyPIwatchdog6.0.0indirect
PyPIzstandard0.25.0indirect
Dependency advisories 0

Installing pypi:jquants-mcp@1.3.0 pulls in 29 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable

Feedback

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Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.