Public record
Software health reportschema 0.27.0 · metrics 2.5.0 · 2026-07-27 07:54 UTC

sooperset / mcp-atlassian

MCP server for Atlassian tools (Confluence, Jira)

PythonMIT★ 5,619 stars⑂ 1,287 forkssince Dec 2024View on GitHub ↗
KindMCP serverLibraryNetwork serviceCommand-line toolhow this is determined
#atlassian#confluence#jira#mcp

sooperset/mcp-atlassian holds a health index of 92 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on AI Readiness (58/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.

92
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.

92
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 78 is calibrated to 92 on the published index scale (record calibration 2026-08-02).

Ownership

Hyeonsoo LeePersonal account
347 followers35 public repossince Sep 2017Lunit Inc.

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
PyPImcp-atlassian0.23.01,787,799829 days ago

Metrics by category

Vitality

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

84Excellent · 21% of overall

Development activity

74Good
How it's scored
36/36Push recency — last push 1 days ago
10.4/36Commit cadence — 15/52 weeks with commits
18/18Commit volume — 359 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_year359
human_commit_share0.72
days_since_last_push1
active_weeks_last_year15

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 73 releases published
36/36Release recency — latest release 9 days ago
27/27Release cadence — a release every ~15.8 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count73
latest_release_tagv0.23.0
releases_from_tagsno
days_since_latest_release9
mean_days_between_releases15.8
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?

89Excellent · 17% of overall

Popularity & adoption

92Excellent
How it's scored
60/60Stars — 5,619 stars
25/25Forks — 1,287 forks
7.5/15Watchers — 23 watchers
Inputs used
forks1,287
stars5,619
watchers23
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

77Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateyes

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 1,787,799 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesmcp-atlassian
dependents—
ecosystemspypi
total_downloads—
monthly_downloads1,787,799
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?

65Good · 23% of overall

Maintainer resilience (bus factor)

38Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
5.7/22.5Commit distribution — top contributor authored 75% of commits
13.5/13.5Contributor breadth — 99 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled99
top_contributor_share0.747

Issue & PR responsiveness

72Good
How it's scored
31.7/42Issue resolution — 75% of issues closed
22/30PR acceptance — 628/855 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
9/15OpenSSF Scorecard: Code-Review — Found 9/14 approved changesets -- score normalized to 6
Inputs used
merged_prs628
open_issues126
closed_issues387
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.754
closed_unmerged_prs227
first_time_authors_30d—
first_time_prs_merged_30d—
first_time_prs_decided_30d—
Excluded from scoring (no data or not applicable): newcomer_pr_acceptance. Remaining weights renormalized.

Ownership & stewardship

64Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
18.3/25Owner reach — 347 followers of sooperset
23.3/25Track record — 35 public repos, account ~8 yr old
Inputs used
followers347
owner_typeUser
is_verified—
owner_loginsooperset
public_repos35
account_age_days3,233
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 9 days ago
20/20Version history — 82 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesmcp-atlassian
ecosystemspypi
any_deprecatedno
min_days_since_publish9

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 29 out of 29 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://mcp-atlassian.soomiles.com
10/10Repository description
10/10Topics — 4 topics
10/10Wiki
Inputs used
topicsatlassian, confluence, jira, mcp
has_wikiyes
homepagehttps://mcp-atlassian.soomiles.com
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

52Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 29 out of 29 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
4.5/7.5Code-Review — Found 9/14 approved changesets -- score normalized to 6
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
10/10Dangerous-Workflow — no 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
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 25 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.2
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_packages101
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:mcp-atlassian@0.23.0 runtime dependency closure — what installing the published package pulls in — 101 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.

58Moderate · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — .github/copilot-instructions.md, AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 72 of 72 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
legible_history_share1
agent_instruction_files.github/copilot-instructions.md, AGENTS.md, CLAUDE.md
agent_instruction_max_bytes4,868

Verify loop (build / test / typecheck)

53Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config
0/11Static type checking
10/10Reproducible environment — devcontainer, Dockerfile, lockfile
10/10Demonstrated agent practice — 15 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_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontaineryes
has_linter_configyes
typecheck_configs—
agent_commit_share0.15
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

53Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
53.1/55Manageable file sizes — 10/283 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes158,203
source_files_sampled283
oversized_source_files10

Machine-readable interfaces

20At Risk
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
0/40Runnable examples
Inputs used
example_dirs—
has_mcp_signalyes
api_schema_files—

Key facts

5,619GitHub stars
99contributors
359commits, last 12 months
1days since last push
73releases
1bus factor
126open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 1,287 ⇿
0Stars
1,287Forks
32Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

2004006008001,0001,2001,4001,287162025-052025-122026-07
Major 0Minor 12Patch 20

Each point covers 2 days.

OpenSSF Scorecard 5.2 / 10
5.2aggregate

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 · 2026-07-27 07:54 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests29 out of 29 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6Code-ReviewFound 9/14 approved changesets -- score normalized to 6
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous 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
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities25 existing vulnerabilities detected
Direct dependencies 27
RegistryPackageVersion constraintManifest
PyPIanyio>=4.0.0pyproject.toml
PyPIatlassian-python-api>=4.0.0pyproject.toml
PyPIrequests>=2.31.0pyproject.toml
PyPIbeautifulsoup4>=4.12.3pyproject.toml
PyPIhttpx>=0.28.0pyproject.toml
PyPImcp>=1.27.0,<2.0.0pyproject.toml
PyPIfastmcp>=3.2.4,<4.0.0pyproject.toml
PyPIfakeredis>=2.32.1,<2.35.0pyproject.toml
PyPIpython-dotenv>=1.0.1pyproject.toml
PyPImarkdownify>=0.11.6pyproject.toml
PyPImarkdown>=3.7.0pyproject.toml
PyPImarkdown-to-confluence>=0.6.0,<0.7.0pyproject.toml
PyPIpydantic>=2.10.6,<3.0pyproject.toml
PyPItrio>=0.29.0pyproject.toml
PyPIclick>=8.1.7pyproject.toml
PyPIuvicorn>=0.27.1pyproject.toml
PyPIstarlette>=1.0.1pyproject.toml
PyPIurllib3>=2.6.3pyproject.toml
PyPIthefuzz>=0.22.1pyproject.toml
PyPIpython-dateutil>=2.9.0.post0pyproject.toml
PyPItypes-python-dateutil>=2.9.0.20241206pyproject.toml
PyPIkeyring>=25.6.0pyproject.toml
PyPIcachetools>=5.0.0pyproject.toml
PyPItypes-cachetools>=5.5.0.20240820pyproject.toml
PyPIunidecode>=1.3.0pyproject.toml
PyPItruststore>=0.10.0pyproject.toml
PyPItzdata>=2024.1pyproject.toml
All dependencies 148

Full resolved dependency set from the GitHub dependency graph: 27 direct and 121 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIanyio4.12.1direct
PyPIatlassian-python-api4.0.7direct
PyPIbeautifulsoup44.14.3direct
PyPIcachetools7.0.1direct
PyPIclick8.3.1direct
PyPIfakeredis2.34.0direct
PyPIfastmcp3.4.4direct
PyPIhttpx0.28.1direct
PyPIkeyring25.7.0direct
PyPImarkdown3.10.2direct
PyPImarkdown-to-confluence0.6.1direct
PyPImarkdownify1.2.2direct
PyPImcp1.28.1direct
PyPIpydantic2.12.5direct
PyPIpython-dateutil2.9.0.post0direct
PyPIpython-dotenv1.2.1direct
PyPIrequests2.34.2direct
PyPIstarlette1.3.1direct
PyPIthefuzz0.22.1direct
PyPItrio0.33.0direct
PyPItruststore0.10.4direct
PyPItypes-cachetools6.2.0.20251022direct
PyPItypes-python-dateutil2.9.0.20260124direct
PyPItzdata2025.3direct
PyPIunidecode1.4.0direct
PyPIurllib32.6.3direct
PyPIuvicorn0.41.0direct
PyPIaiofile3.11.1indirect
PyPIaiofile3.9.0indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs25.4.0indirect
PyPIauthlib1.7.2indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbeartype0.22.9indirect
PyPIblack26.1.0indirect
PyPIcaio0.9.25indirect
PyPIcattrs26.1.0indirect
PyPIcertifi2026.1.4indirect
PyPIcffi2.0.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.4indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.13.4indirect
PyPIcryptography46.0.5indirect
PyPIcyclopts4.5.4indirect
PyPIdeprecated1.3.1indirect
PyPIdistlib0.4.0indirect
PyPIdnspython2.8.0indirect
PyPIdocstring-parser0.17.0indirect
PyPIdocutils0.22.4indirect
PyPIdukpy0.5.1indirect
PyPIemail-validator2.3.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIfastmcp-slim3.4.4indirect
PyPIfilelock3.24.3indirect
PyPIgriffelib2.1.0indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx-sse0.4.3indirect
PyPIidentify2.6.16indirect
PyPIidna3.11indirect
PyPIimportlib-metadata8.7.1indirect
PyPIiniconfig2.3.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.0indirect
PyPIjaraco-functools4.4.0indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIjmespath1.1.0indirect
PyPIjoserfc1.7.3indirect
PyPIjsonref1.1.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-path0.4.1indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIlibrt0.8.1indirect
PyPIlxml6.1.1indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdurl0.1.2indirect
PyPImore-itertools10.8.0indirect
PyPImypy1.19.1indirect
PyPImypy-extensions1.1.0indirect
PyPInodeenv1.10.0indirect
PyPIoauthlib3.3.1indirect
PyPIopenapi-pydantic0.5.1indirect
PyPIopentelemetry-api1.39.1indirect
PyPIorjson3.11.9indirect
PyPIoutcome1.3.0.post0indirect
PyPIpackaging26.0indirect
PyPIpathable0.5.0indirect
PyPIpathspec1.0.4indirect
PyPIplatformdirs4.9.2indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.5.1indirect
PyPIpy-key-value-aio0.4.5indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.41.5indirect
PyPIpydantic-settings2.13.1indirect
PyPIpygments2.19.2indirect
PyPIpyjwt2.11.0indirect
PyPIpymdown-extensions10.21indirect
PyPIpyobjc-core12.2indirect
PyPIpyobjc-framework-cocoa12.2indirect
PyPIpyobjc-framework-systemconfiguration12.2indirect
PyPIpypac0.18.3indirect
PyPIpyperclip1.11.0indirect
PyPIpysocks1.7.1indirect
PyPIpytest9.0.2indirect
PyPIpytest-anyio0.0.0indirect
PyPIpytest-asyncio1.3.0indirect
PyPIpytest-cov7.0.0indirect
PyPIpython-multipart0.0.32indirect
PyPIpytokens0.4.1indirect
PyPIpywin32311indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIrapidfuzz3.14.3indirect
PyPIredis7.2.0indirect
PyPIreferencing0.37.0indirect
PyPIrequests-file3.0.1indirect
PyPIrequests-oauthlib2.0.0indirect
PyPIrich14.3.3indirect
PyPIrich-rst1.3.2indirect
PyPIrpds-py0.30.0indirect
PyPIruff0.15.2indirect
PyPIsecretstorage3.5.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsoupsieve2.8.3indirect
PyPIsse-starlette3.2.0indirect
PyPItldextract5.3.1indirect
PyPItomli2.4.0indirect
PyPItyper0.24.1indirect
PyPItypes-pyyaml6.0.12.20250915indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPIuncalled-for0.3.2indirect
PyPIuv0.10.4indirect
PyPIvirtualenv20.38.0indirect
PyPIwatchfiles1.2.0indirect
PyPIwebsockets16.0indirect
PyPIwrapt2.1.1indirect
PyPIzipp3.23.0indirect
Dependency advisories 0

Installing pypi:mcp-atlassian@0.23.0 pulls in 101 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

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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 v2.5.0, schema v0.27.0 — full methodology · metrics wiki.

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