Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-11 02:24 UTC

qso-graph / adif-mcp

ADIF MCP server — AI-agent access to Amateur Radio logging per ADIF 3.1.7

PythonGPL-3.0★ 4 stars⑂ 0 forkssince Aug 2025View on GitHub ↗
KindCommand-line toolMCP serverLibraryhow this is determined
#ai#ai-agents#ai-tools#adif#amateur-radio#eqsl#ham-radio#lotw#mcp#model-context-protocol#python#qrz#qso-logging#qso-graph

qso-graph/adif-mcp holds a health index of 77 out of 100, placing it in the Good band. It scores highest on Engineering Quality (90/100) and lowest on Community & Adoption (47/100). It was last updated today. A single contributor accounts for most of its recent work.

77
overall / 100
Good

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.

77
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 66 is calibrated to 77 on the published index scale (record calibration 2026-08-02).

Ownership

QSO-GraphOrganization · verified domain
7 followers25 public repossince Mar 2026KI7MT

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIadif-mcp1.2.22,279630 days agoadifai-agentsamateur-radioeqslham-radiolotwmcpmodel-context-protocolqrzqso-logging

Metrics by category

Vitality

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

70Good · 21% of overall

Development activity

70Good
How it's scored
36/36Push recency — last push 0 days ago
6.2/36Commit cadence — 9/52 weeks with commits
18/18Commit volume — 104 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year104
human_commit_share0.78
days_since_last_push0
active_weeks_last_year9

Release discipline

70Good
How it's scored
27/27Ships releases — 10 releases published
16.2/36Release recency — latest release 286 days ago
27/27Release cadence — a release every ~12.3 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count10
latest_release_tagv0.4.4
releases_from_tagsno
days_since_latest_release286
mean_days_between_releases12.3

Community & Adoption

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

47Weak · 17% of overall

Popularity & adoption

8Critical
How it's scored
7.7/60Stars — 4 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars4
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (GPL-3.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges2
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

56Moderate
How it's scored
44.8/80Monthly downloads — 2,279 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesadif-mcp
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,279
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?

62Moderate · 23% of overall

Maintainer resilience (bus factor)

20At Risk
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
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

77Good
How it's scored
42/42Issue resolution — 100% of issues closed
24.9/30PR acceptance — 29/35 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/6 approved changesets -- score normalized to 0
Inputs used
merged_prs29
open_issues0
closed_issues6
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d1
issue_closed_ratio1
closed_unmerged_prs6
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

68Good
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
6.5/25Owner reach — 7 followers of qso-graph
11.5/25Track record — 25 public repos, account ~0 yr old
Inputs used
followers7
owner_typeOrganization
is_verifiedyes
owner_loginqso-graph
public_repos25
account_age_days220

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 63 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesadif-mcp
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 22 out of 22 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

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://qso-graph.io/servers/adif-mcp/
10/10Repository description
10/10Topics — 14 topics
10/10Wiki
Inputs used
topicsai, ai-agents, ai-tools, adif, amateur-radio, eqsl, ham-radio, lotw, mcp, model-context-protocol, python, qrz, qso-logging, qso-graph
has_wikiyes
homepagehttps://qso-graph.io/servers/adif-mcp/
docs_sitehttps://qso-graph.io/servers/adif-mcp/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

58Moderate · 16% of overall

Security posture

47Weak
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 — 22 out of 22 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 0/6 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
0/10Dangerous-Workflow — dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 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
3/5SAST — SAST tool is not run on all commits -- score normalized to 6
2/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate4.7

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages150
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 150 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

58Moderate · 4% of overall

Agent context & guidance

55Moderate
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://qso-graph.io/llms.txt)
40/40Legible commit history — 62 of 78 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://qso-graph.io/llms.txt
legible_history_share0.795
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

71Good
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 72 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.72
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/48 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes27,512
source_files_sampled48
oversized_source_files0

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

4GitHub stars
1contributors
104commits, last 12 months
0days since last push
10releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:adif-mcp@1.2.2; advisories assessed against the repository dependency graph instead

More detail

OpenSSF Scorecard 4.7 / 10
4.7aggregate

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 · 2026-10-11 02:23 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests22 out of 22 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 0/6 approved changesets -- score normalized to 0
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
0Dangerous-Workflowdangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 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
6SASTSAST tool is not run on all commits -- score normalized to 6
4Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 6
RegistryPackageVersion constraintManifest
PyPIaiofiles>=25.1.0pyproject.toml
PyPIclick>=8.1.7pyproject.toml
PyPIfastmcp>=4.0,<5pyproject.toml
PyPIrequests>=2.32.5pyproject.toml
PyPItyping-extensions>=4.15.0pyproject.toml
PyPItomli>=2.0pyproject.toml
All dependencies 150

Full resolved dependency set from the GitHub dependency graph: 6 direct and 144 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiofiles25.1.0direct
PyPIclick8.5.0direct
PyPIfastmcp4.1.0direct
PyPIrequests2.34.2direct
PyPItomli2.4.1direct
PyPItyping-extensions4.16.0direct
PyPIadif-mcp1.2.2indirect
PyPIaiofile3.12.3indirect
PyPIaiofile3.8.8indirect
PyPIannotated-types0.8.0indirect
PyPIanyio4.15.1indirect
PyPIargcomplete3.7.2indirect
PyPIast-serialize0.12.1indirect
PyPIattrs26.1.0indirect
PyPIauthlib1.8.0indirect
PyPIbabel2.18.0indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbackrefs8.0indirect
PyPIbeartype0.22.9indirect
PyPIbeartype0.23.0indirect
PyPIbeautifulsoup44.15.0indirect
PyPIcachetools7.2.0indirect
PyPIcaio0.12.9indirect
PyPIcaio0.9.25indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.1indirect
PyPIcharset-normalizer3.5.2indirect
PyPIcli-test-helpers4.2.0indirect
PyPIcolorama0.4.6indirect
PyPIcommitizen4.19.1indirect
PyPIcryptography50.0.2indirect
PyPIcyclopts4.25.3indirect
PyPIcyclopts5.1.1indirect
PyPIdecli0.6.3indirect
PyPIdeprecated1.3.1indirect
PyPIdnspython2.8.0indirect
PyPIdocstring-parser0.18.0indirect
PyPIeditorconfig0.17.1indirect
PyPIemail-validator2.3.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIfastmcp-slim4.1.0indirect
PyPIghp-import2.1.0indirect
PyPIgitdb4.0.12indirect
PyPIgitpython3.2.0indirect
PyPIgriffelib2.3.0indirect
PyPIh110.16.0indirect
PyPIhttpcore22.13.1indirect
PyPIhttpx22.13.1indirect
PyPIhttpx2-jsfetch1.0indirect
PyPIidna3.20indirect
PyPIimportlib-metadata9.0.1indirect
PyPIiniconfig2.3.0indirect
PyPIinterrogate1.7.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.6.0indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIjoserfc1.7.5indirect
PyPIjsbeautifier2.0.3indirect
PyPIjsonref1.1.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-path0.5.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIkeyring25.7.0indirect
PyPIlibrt0.16.0indirect
PyPImarkdown3.10.3indirect
PyPImarkdown3.11indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.4indirect
PyPImcp2.3.0indirect
PyPImcp-types2.3.0indirect
PyPImdurl0.1.2indirect
PyPImergedeep1.3.4indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-autorefs1.4.4indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocs-git-revision-date-localized-plugin1.6.0indirect
PyPImkdocs-material9.7.7indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImkdocs-mermaid2-plugin1.2.3indirect
PyPImkdocs-redirects1.2.3indirect
PyPImkdocstrings1.0.6indirect
PyPImkdocstrings-python2.0.9indirect
PyPImore-itertools11.1.0indirect
PyPImypy2.4.0indirect
PyPImypy-extensions1.1.0indirect
PyPIopenapi-pydantic0.6.0indirect
PyPIopentelemetry-api1.45.0indirect
PyPIpackaging26.3indirect
PyPIpaginate0.5.7indirect
PyPIpathable0.6.0indirect
PyPIpathspec1.1.1indirect
PyPIplatformdirs4.12.3indirect
PyPIpluggy1.6.0indirect
PyPIprompt-toolkit3.0.53indirect
PyPIproperdocs1.6.7indirect
PyPIpy1.11.0indirect
PyPIpy-key-value-aio0.4.6indirect
PyPIpycparser3.0indirect
PyPIpydantic2.13.5indirect
PyPIpydantic-core2.46.5indirect
PyPIpydantic-settings2.15.0indirect
PyPIpygments2.21.0indirect
PyPIpyjwt2.15.1indirect
PyPIpymdown-extensions12.1indirect
PyPIpyperclip1.11.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.4indirect
PyPIpython-multipart0.0.32indirect
PyPIpywin32312indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIquestionary2.1.1indirect
PyPIreferencing0.37.0indirect
PyPIrich15.0.0indirect
PyPIrich-rst2.2.0indirect
PyPIrpds-py0.30.0indirect
PyPIrpds-py2026.9.1indirect
PyPIruff0.16.10indirect
PyPIsecretstorage3.5.0indirect
PyPIsetuptools84.0.0indirect
PyPIsix1.17.0indirect
PyPIsmmap5.0.3indirect
PyPIsoupsieve2.10indirect
PyPIsse-starlette3.5.0indirect
PyPIstarlette1.7.0indirect
PyPItabulate0.10.0indirect
PyPItermcolor3.3.0indirect
PyPItomlkit0.15.1indirect
PyPItruststore0.10.4indirect
PyPItypes-aiofiles25.1.0.20260518indirect
PyPItypes-click7.1.8indirect
PyPItypes-requests2.33.0.20260906indirect
PyPItyping-inspection0.4.4indirect
PyPItzdata2026.5indirect
PyPIuncalled-for0.4.0indirect
PyPIurllib32.8.0indirect
PyPIuvicorn0.54.0indirect
PyPIwatchdog6.0.0indirect
PyPIwatchfiles1.3.0indirect
PyPIwcwidth0.9.2indirect
PyPIwebsockets16.1.1indirect
PyPIwebsockets17.2indirect
PyPIwrapt2.5.0indirect
PyPIzipp4.1.1indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 150 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct.

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.