Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-14 01:07 UTC

IBM / mcp-cli

PythonApache-2.0★ 2,019 stars⑂ 309 forkssince Nov 2024View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

IBM/mcp-cli holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Vitality (84/100) and lowest on AI Readiness (61/100). It was last updated 8 days ago. A single contributor accounts for most of its recent work.

84
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.

84
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 71 is calibrated to 84 on the published index scale (record calibration 2026-08-02).

Ownership

8,569 followers3,932 public repossince Feb 2012

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPImcp-cli0.20.1-4922 days agollmopenaiclaudemcpcli

Metrics by category

Vitality

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

84Excellent · 21% of overall
How it's scored
28.8/36Push recencylast push 8 days ago
15.9/36Commit cadence23/52 weeks with commits
18/18Commit volume221 commits in the last year
10/10OpenSSF Scorecard: Maintained12 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year221
human_commit_share0.93
days_since_last_push8
active_weeks_last_year23

Release discipline

100Exceptional
How it's scored
27/27Ships releases2 releases published
36/36Release recencylatest release 22 days ago
27/27Release cadencea release every ~0.3 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count2
latest_release_tagv0.20.1
releases_from_tagsno
days_since_latest_release22
mean_days_between_releases0.3
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?

67Good · 17% of overall
How it's scored
53.6/60Stars2,019 stars
20.7/25Forks309 forks
7.4/15Watchers22 watchers
Inputs used
forks309
stars2,019
watchers22
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)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges2
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno

Sustainability & Governance

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

72Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
2.1/22.5Commit distributiontop contributor authored 91% of commits
13.5/13.5Contributor breadth18 contributors
10/10OpenSSF Scorecard: Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled18
top_contributor_share0.908
How it's scored
33.5/42Issue resolution80% of issues closed
24.3/30PR acceptance120/148 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 1/13 approved changesets -- score normalized to 0
Inputs used
merged_prs120
open_issues18
closed_issues71
prs_merged_7d0
prs_decided_7d0
prs_merged_30d6
prs_decided_30d6
issue_closed_ratio0.798
closed_unmerged_prs28
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.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
25/25Owner reach8,569 followers of IBM
25/25Track record3,932 public repos, account ~14 yr old
Inputs used
followers8,569
owner_typeOrganization
is_verified
owner_loginIBM
public_repos3,932
account_age_days5,287
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 22 days ago
20/20Version history49 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesmcp-cli
ecosystemspypi
any_deprecatedno
min_days_since_publish22

Engineering Quality

Are baseline engineering and documentation practices in place?

62Moderate · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
12/20OpenSSF Scorecard: CI-Tests10 out of 15 merged PRs checked by a CI test -- score normalized to 6
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
0/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics
has_wikiyes
homepage
docs_site
has_readmeyes
has_docs_diryes
has_descriptionno

Security

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

70Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionbranch protection not enabled on development/release branches
1.5/2.5CI-Tests10 out of 15 merged PRs checked by a CI test -- score normalized to 6
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0/7.5Code-ReviewFound 1/13 approved changesets -- score normalized to 0
2.5/2.5Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
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
7.5/7.5Maintained12 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
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
4.5/7.5Vulnerabilities4 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.3
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 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_packages122
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-cli@0.20.1 runtime dependency closure — what installing the published package pulls in — 122 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.

61Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
16.1/40Legible commit history28 of 93 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.301
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapMakefile
22/22Automated tests
0/11Lint / format config
11/11Static type checkingmypy.ini
10/10Reproducible environmentlockfile
4/10Demonstrated agent practice2 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance7 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency 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_configno
typecheck_configsmypy.ini
agent_commit_share0.02
toolchain_manifests
dependency_bot_commit_share0.07
How it's scored
27/45Type-checkable codePython with type-check config (mypy.ini)
54/55Manageable file sizes8/425 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes139,187
source_files_sampled425
oversized_source_files8
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
20/20MCP server
40/40Runnable examplesexamples
Inputs used
example_dirsexamples
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

2,019GitHub stars
18contributors
221commits, last 12 months
8days since last push
2releases
1bus factor
18open 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 ★ / 309 ⇿
0Stars
309Forks
2Releases

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.

0125250375307222024-122025-102026-08
Major 0Minor 1Patch 1

Each point covers 2 days.

OpenSSF Scorecard 6.3 / 10
6.3aggregate

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 · 2026-08-14 01:07 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
6CI-Tests10 out of 15 merged PRs checked by a CI test -- score normalized to 6
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/13 approved changesets -- score normalized to 0
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained12 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
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
6Vulnerabilities4 existing vulnerabilities detected
Direct dependencies 17
RegistryPackageVersion constraintManifest
PyPIasyncio>=3.4.3pyproject.toml
PyPIchuk-ai-planner>=0.2pyproject.toml
PyPIchuk-ai-session-manager>=0.11pyproject.toml
PyPIchuk-llm>=0.17.1pyproject.toml
PyPIchuk-mcp-client-oauth>=0.3.5pyproject.toml
PyPIchuk-term>=0.4.2pyproject.toml
PyPIchuk-tool-processor>=0.22.1pyproject.toml
PyPIcryptography>=44.0.0pyproject.toml
PyPIfast-json>=0.3.2pyproject.toml
PyPIhttpx>=0.27.0pyproject.toml
PyPIjsonschema>=4.25.1pyproject.toml
PyPIkeyring>=25.0.0pyproject.toml
PyPIorjson>=3.11.4pyproject.toml
PyPIprompt-toolkit>=3.0.50pyproject.toml
PyPIpython-dotenv>=1.0.1pyproject.toml
PyPIrich>=13.9.4pyproject.toml
PyPItyper>=0.15.2pyproject.toml
All dependencies 144

Full resolved dependency set from the GitHub dependency graph: 17 direct and 127 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIasyncio4.0.0direct
PyPIchuk-ai-planner0.5.1direct
PyPIchuk-ai-session-manager0.11direct
PyPIchuk-llm0.18direct
PyPIchuk-mcp-client-oauth0.4direct
PyPIchuk-term0.4.2direct
PyPIchuk-tool-processor0.22.1direct
PyPIcryptography49.0.0direct
PyPIfast-json0.3.2direct
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PyPIjsonschema4.26.0direct
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PyPIaiohttp3.14.2indirect
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PyPIannotated-types0.7.0indirect
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PyPIattrs25.4.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbeautifulsoup44.14.3indirect
PyPIbs40.0.2indirect
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PyPIcertifi2026.2.25indirect
PyPIcffi2.0.0indirect
PyPIchardet7.0.1indirect
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PyPIpytz2026.1.post1indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIreadability-lxml0.8.4.1indirect
PyPIreferencing0.37.0indirect
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PyPIrequests2.34.2indirect
PyPIrpds-py0.30.0indirect
PyPIrsa4.9.1indirect
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Dependency advisories 0

Installing pypi:mcp-cli@0.20.1 pulls in 122 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 v0.31.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.