Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-19 13:06 UTC

rootlyhq / rootly-mcp-server

Rootly MCP server

PythonApache-2.0★ 46 stars⑂ 23 forkssince Mar 2025View on GitHub ↗
KindCommand-line toolMCP serverNetwork serviceLibraryhow this is determined

rootlyhq/rootly-mcp-server holds a health index of 90 out of 100, placing it in the Excellent band. It scores highest on Vitality (90/100) and lowest on Community & Adoption (56/100). It was last updated today. A single contributor accounts for most of its recent work.

90
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.

90
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 76 is calibrated to 90 on the published index scale (record calibration 2026-08-02).

Ownership

RootlyOrganization · verified domain
47 followers74 public repossince Jan 2021

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIrootly-mcp-server2.3.206,430594 days agoai-sreautomationdevopsincident-managementincidentsllmmcpon-callrate-limitingrootlysecuritysre

Metrics by category

Vitality

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

90Excellent · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
27.7/36Commit cadence40/52 weeks with commits
18/18Commit volume523 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year523
human_commit_share0.95
days_since_last_push0
active_weeks_last_year40
How it's scored
16.2/27Ships releases53 version tags (no GitHub releases)
36/36Release recencylatest release 4 days ago
27/27Release cadencea release every ~16 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count53
latest_release_tagv2.3.20
releases_from_tagsyes
days_since_latest_release4
mean_days_between_releases16
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?

56Moderate · 17% of overall
How it's scored
26.8/60Stars46 stars
11.2/25Forks23 forks
0/15Watchers2 watchers
Inputs used
forks23
stars46
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges3
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesbadge.fury.io, shields.io
has_pull_request_templateno
How it's scored
50.8/80Monthly downloads6,430 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesrootly-mcp-server
dependents
ecosystemspypi
total_downloads
monthly_downloads6,430
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?

75Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
5.6/22.5Commit distributiontop contributor authored 75% of commits
13.5/13.5Contributor breadth11 contributors
10/10OpenSSF Scorecard: Contributorsproject has 6 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled11
top_contributor_share0.751
How it's scored
42/42Issue resolution100% of issues closed
24.2/30PR acceptance170/211 decided PRs merged
6.5/13Newcomer PR acceptance1/2 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Reviewall changesets reviewed
Inputs used
merged_prs170
open_issues0
closed_issues8
prs_merged_7d4
prs_decided_7d4
prs_merged_30d19
prs_decided_30d29
issue_closed_ratio1
closed_unmerged_prs41
first_time_authors_30d2
first_time_prs_merged_30d1
first_time_prs_decided_30d2
How it's scored
30/30Ownership backingorganization-owned
20/20Verified domain
12.1/25Owner reach47 followers of rootlyhq
24.3/25Track record74 public repos, account ~5 yr old
Inputs used
followers47
owner_typeOrganization
is_verifiedyes
owner_loginrootlyhq
public_repos74
account_age_days2,058

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 4 days ago
20/20Version history59 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesrootly-mcp-server
ecosystemspypi
any_deprecatedno
min_days_since_publish4

Engineering Quality

Are baseline engineering and documentation practices in place?

76Good · 19% of overall
How it's scored
24/24CI workflows5 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.ruff], [tool.black], [tool.isort])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests13 out of 13 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
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage sitehttps://rootly.com/ai-labs
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics
has_wikiyes
homepagehttps://rootly.com/ai-labs
docs_sitehttps://rootly.com/ai-labs
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

83Excellent · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
3.8/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests13 out of 13 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Reviewall changesets reviewed
2.5/2.5Contributorsproject has 6 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
0/5Packagingno data
3.5/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 7
0/5SASTSAST tool is not run on all commits -- score normalized to 0
5/5Security-Policysecurity policy file detected
0/7.5Signed-Releasesno data
7.5/7.5Token-PermissionsGitHub workflow tokens follow principle of least privilege
6/7.5Vulnerabilities2 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate7.9
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages55
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:rootly-mcp-server@2.3.20 runtime dependency closure — what installing the published package pulls in — 55 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.

72Good · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt)llms.txt served by the project website (https://rootly.com/llms.txt)
40/40Legible commit history81 of 95 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://rootly.com/llms.txt
legible_history_share0.853
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapMakefile
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff], [tool.black], [tool.isort])
0/11Static type checking
10/10Reproducible environmentDockerfile, lockfile
6/10Demonstrated agent practice3 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance5 of the last 100 commits are automated dependency updates
7/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 7
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0.03
toolchain_manifests
dependency_bot_commit_share0.05
How it's scored
0/45Type-checkable codePython without a type-check config
49.8/55Manageable file sizes6/64 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes136,158
source_files_sampled64
oversized_source_files6
How it's scored
40/40API schema (OpenAPI/GraphQL/proto)src/rootly_mcp_server/data/swagger.json
20/20MCP server
40/40Runnable examplesexamples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_filessrc/rootly_mcp_server/data/swagger.json
interfaces_expected_ofnetwork-service

Key facts

46GitHub stars
11contributors
523commits, last 12 months
0days since last push
53releases
1bus factor
0open 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 ★ / 23 ⇿
0Stars
23Forks
52Releases

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.

048121620242222025-042025-122026-08
Major 1Minor 2Patch 49

Each point covers 2 days.

OpenSSF Scorecard 7.9 / 10
7.9aggregate

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 · 2026-09-19 13:05 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests13 out of 13 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
7Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 7
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
8Vulnerabilities2 existing vulnerabilities detected
Direct dependencies 19
RegistryPackageVersion constraintManifest
PyPIfastmcp==3.4.7pyproject.toml
PyPIauthlib>=1.7.1pyproject.toml
PyPIpython-dotenv>=1.2.2pyproject.toml
PyPIpython-multipart>=0.0.31pyproject.toml
PyPIcryptography>=50.0.0pyproject.toml
PyPIPygments>=2.20.0pyproject.toml
PyPIpyjwt>=2.13.0pyproject.toml
PyPImsgpack>=1.2.1pyproject.toml
PyPIstarlette>=1.3.1pyproject.toml
PyPImcp>=1.28.1pyproject.toml
PyPIjoserfc>=1.6.8pyproject.toml
PyPIidna>=3.15pyproject.toml
PyPIclick>=8.3.3pyproject.toml
PyPIrequests==2.34.2pyproject.toml
PyPIhttpx==0.28.1pyproject.toml
PyPIpydantic==2.13.5pyproject.toml
PyPIbrotli>=1.2.0pyproject.toml
PyPIscikit-learn>=1.3.0pyproject.toml
PyPInumpy>=1.24.0pyproject.toml
All dependencies 127

Full resolved dependency set from the GitHub dependency graph: 19 direct and 108 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIauthlib1.7.2direct
PyPIbrotli1.2.0direct
PyPIclick8.4.2direct
PyPIcryptography50.0.1direct
PyPIfastmcp3.4.7direct
PyPIhttpx0.28.1direct
PyPIidna3.18direct
PyPIjoserfc1.7.4direct
PyPImcp1.28.1direct
PyPImsgpack1.2.1direct
PyPInumpy2.3.2direct
PyPIpydantic2.13.5direct
PyPIpygments2.20.0direct
PyPIpyjwt2.13.0direct
PyPIpython-dotenv1.2.2direct
PyPIpython-multipart0.0.32direct
PyPIrequests2.34.2direct
PyPIscikit-learn1.7.1direct
PyPIstarlette1.3.1direct
PyPIaiofile3.9.0indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.8.0indirect
PyPIattrs25.3.0indirect
PyPIbandit1.9.3indirect
PyPIbeartype0.22.9indirect
PyPIblack26.3.1indirect
PyPIboolean-py5.0indirect
PyPIcachecontrol0.14.4indirect
PyPIcachetools7.0.1indirect
PyPIcaio0.9.25indirect
PyPIcertifi2025.1.31indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.1indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.10.4indirect
PyPIcyclonedx-python-lib11.6.0indirect
PyPIcyclopts4.6.0indirect
PyPIdefusedxml0.7.1indirect
PyPIdetect-secrets1.5.0indirect
PyPIdnspython2.8.0indirect
PyPIdocstring-parser0.17.0indirect
PyPIdocutils0.22.4indirect
PyPIemail-validator2.3.0indirect
PyPIexceptiongroup1.3.0indirect
PyPIfastmcp-slim3.4.7indirect
PyPIfilelock3.20.3indirect
PyPIgriffelib2.0.2indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx-sse0.4.0indirect
PyPIimportlib-metadata8.7.1indirect
PyPIiniconfig2.0.0indirect
PyPIisort6.0.1indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.0indirect
PyPIjaraco-functools4.4.0indirect
PyPIjeepney0.9.0indirect
PyPIjoblib1.5.1indirect
PyPIjsonref1.1.0indirect
PyPIjsonschema4.25.0indirect
PyPIjsonschema-path0.4.2indirect
PyPIjsonschema-specifications2025.4.1indirect
PyPIkeyring25.7.0indirect
PyPIlibrt0.7.8indirect
PyPIlicense-expression30.4.4indirect
PyPImarkdown-it-py3.0.0indirect
PyPImdurl0.1.2indirect
PyPImore-itertools10.8.0indirect
PyPImypy1.19.1indirect
PyPImypy-extensions1.0.0indirect
PyPInodeenv1.9.1indirect
PyPIopenapi-pydantic0.5.1indirect
PyPIopentelemetry-api1.39.1indirect
PyPIpackageurl-python0.17.6indirect
PyPIpackaging24.2indirect
PyPIpathable0.5.0indirect
PyPIpathspec1.0.4indirect
PyPIpip26.2.1indirect
PyPIpip-api0.0.34indirect
PyPIpip-audit2.10.0indirect
PyPIpip-requirements-parser32.0.1indirect
PyPIplatformdirs4.3.6indirect
PyPIpluggy1.5.0indirect
PyPIpy-key-value-aio0.4.4indirect
PyPIpy-serializable2.1.0indirect
PyPIpycparser2.22indirect
PyPIpydantic-core2.46.5indirect
PyPIpydantic-monty0.0.17indirect
PyPIpydantic-settings2.8.1indirect
PyPIpyparsing3.3.2indirect
PyPIpyperclip1.11.0indirect
PyPIpyright1.1.411indirect
PyPIpytest9.0.3indirect
PyPIpytest-asyncio1.3.0indirect
PyPIpytest-cov6.2.1indirect
PyPIpytest-mock3.14.1indirect
PyPIpytest-timeout2.4.0indirect
PyPIpytokens0.4.1indirect
PyPIpywin32311indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIreferencing0.36.2indirect
PyPIrespx0.22.0indirect
PyPIrich14.0.0indirect
PyPIrich-rst1.3.2indirect
PyPIrootly-mcp-server2.3.20indirect
PyPIrpds-py0.27.0indirect
PyPIruff0.9.10indirect
PyPIscipy1.16.1indirect
PyPIsecretstorage3.5.0indirect
PyPIsniffio1.3.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsse-starlette2.2.1indirect
PyPIsseclient-py1.8.0indirect
PyPIstevedore5.6.0indirect
PyPIthreadpoolctl3.6.0indirect
PyPItomli2.4.0indirect
PyPItomli-w1.2.0indirect
PyPItypes-requests2.32.4.20260107indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPIuncalled-for0.2.0indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.41.0indirect
PyPIwatchfiles1.1.1indirect
PyPIwebsockets16.0indirect
PyPIzipp3.23.0indirect
Dependency advisories 0

Installing pypi:rootly-mcp-server@2.3.20 pulls in 55 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

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

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 statisticsPyPI.