Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-18 08:58 UTC

mcp-box / mcpscore

Lighthouse for MCP — score any MCP server 0–100.

PythonMIT★ 37 stars⑂ 1 forksince Feb 2026View on GitHub ↗
KindCommand-line toolLibraryMCP serverhow this is determined

mcp-box/mcpscore holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (92/100) and lowest on Sustainability & Governance (50/100). It was last updated today. A single contributor accounts for most of its recent work.

83
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.

83
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 70 is calibrated to 83 on the published index scale (record calibration 2026-08-02).

Ownership

MCP BoxOrganization
3 followers2 public repossince Sep 2025

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

Package ecosystems

Metrics by category

Vitality

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

83Excellent · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
13.8/36Commit cadence20/52 weeks with commits
18/18Commit volume461 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year461
human_commit_share0.95
days_since_last_push0
active_weeks_last_year20
How it's scored
27/27Ships releases40 releases published
36/36Release recencylatest release 0 days ago
27/27Release cadencea release every ~1.1 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count40
latest_release_tagv1.19.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases1.1

Community & Adoption

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

50Moderate · 17% of overall
How it's scored
25.2/60Stars37 stars
0/25Forks1 forks
0/15Watchers0 watchers
Inputs used
forks1
stars37
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicescodecov.io, github.com, shields.io
has_pull_request_templateno
How it's scored
50.6/80Monthly downloads6,191 downloads/month across npm, pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesmcpscore, @mcp-box/mcpscore
dependents
ecosystemsnpm, pypi
total_downloads
monthly_downloads6,191
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?

50Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
0.3/22.5Commit distributiontop contributor authored 99% of commits
2.7/13.5Contributor breadth2 contributors
3/10OpenSSF Scorecard: Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.988
How it's scored
0/42Issue resolutionno issues or no data
28.7/30PR acceptance157/164 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/27 approved changesets -- score normalized to 0
Inputs used
merged_prs157
open_issues0
closed_issues0
prs_merged_7d18
prs_decided_7d18
prs_merged_30d55
prs_decided_30d55
issue_closed_ratio
closed_unmerged_prs7
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Issue resolution, Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domain
4.3/25Owner reach3 followers of mcp-box
5.5/25Track record2 public repos, account ~1 yr old
Inputs used
followers3
owner_typeOrganization
is_verifiedno
owner_loginmcp-box
public_repos2
account_age_days365

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable2 package(s) on npm, pypi
35/35Publish recencylatest publish 0 days ago
20/20Version history40 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesmcpscore, @mcp-box/mcpscore
ecosystemsnpm, pypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall
How it's scored
24/24CI workflows6 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests28 out of 28 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

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://mcpscore.dev/
10/10Repository description
10/10Topics7 topics
0/10Wiki
Inputs used
topicscli, mcp, mcp-server, mcp-servers, mcp-tools, model-context-protocol, quality
has_wikino
homepagehttps://mcpscore.dev/
docs_sitehttps://mcpscore.dev/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

77Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
2.2/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests28 out of 28 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
0/7.5Code-ReviewFound 0/27 approved changesets -- score normalized to 0
0.8/2.5Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
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 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
4.5/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
5/5SASTSAST tool is run on all commits
5/5Security-Policysecurity policy file detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
7.5/7.5Token-PermissionsGitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate7.1

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages54
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 54 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.

81Excellent · 4% of overall
How it's scored
45/45Agent instructionsAGENTS.md, CLAUDE.md
15/15Machine-readable docs (llms.txt)llms.txt served by the project website (https://mcpscore.dev/llms.txt)
36.5/40Legible commit history65 of 95 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://mcpscore.dev/llms.txt
legible_history_share0.684
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes5,630
How it's scored
18/18One-command bootstrapMakefile
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff])
11/11Static type checkingmcpscore/py.typed
10/10Reproducible environmentlockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance5 of the last 100 commits are automated dependency updates
9/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configsmcpscore/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.05
How it's scored
27/45Type-checkable codePython with type-check config (mcpscore/py.typed)
52.7/55Manageable file sizes4/94 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes112,250
source_files_sampled94
oversized_source_files4
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

37GitHub stars
2contributors
461commits, last 12 months
0days since last push
40releases
1bus factor
0open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:mcpscore@1.19.0; advisories assessed against the repository dependency graph instead

More detail

OpenSSF Scorecard 7.1 / 10
7.1aggregate

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 · 2026-09-18 08:58 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests28 out of 28 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 0/27 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate 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
9Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
10SASTSAST tool is run on all commits
10Security-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 3
RegistryPackageVersion constraintManifest
PyPImcp==2.2.0pyproject.toml
PyPIhttpx2>=2.5.0pyproject.toml
PyPIjsonschema>=4.21pyproject.toml
All dependencies 54

Full resolved dependency set from the GitHub dependency graph: 3 direct and 51 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIhttpx22.12.0direct
PyPIjsonschema4.26.0direct
PyPImcp2.2.0direct
PyPIannotated-types0.8.0indirect
PyPIanyio4.15.1indirect
PyPIattrs26.1.0indirect
PyPIcffi2.1.1indirect
PyPIcfgv3.5.0indirect
PyPIclick8.5.0indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.16.0indirect
PyPIcryptography50.0.1indirect
PyPIdistlib0.4.3indirect
PyPIfilelock3.32.5indirect
PyPIh110.16.0indirect
PyPIhttpcore22.12.0indirect
PyPIhttpx2-jsfetch1.0indirect
PyPIidentify2.6.19indirect
PyPIidna3.19indirect
PyPIiniconfig2.3.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPImcp-types2.2.0indirect
PyPImcpscore1.19.0indirect
PyPInodeenv1.10.0indirect
PyPIopentelemetry-api1.44.0indirect
PyPIpackaging26.3indirect
PyPIplatformdirs4.11.7indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.2indirect
PyPIpycparser3.0indirect
PyPIpydantic2.13.5indirect
PyPIpydantic-core2.46.5indirect
PyPIpygments2.21.0indirect
PyPIpyjwt2.13.0indirect
PyPIpyright1.1.414indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-discovery1.6.0indirect
PyPIpython-multipart0.0.32indirect
PyPIpywin32312indirect
PyPIpyyaml6.0.3indirect
PyPIreferencing0.37.0indirect
PyPIrfc3986-validator0.1.1indirect
PyPIrpds-py2026.6.3indirect
PyPIruff0.16.7indirect
PyPIsse-starlette3.4.11indirect
PyPIstarlette1.6.0indirect
PyPItomli2.4.1indirect
PyPItruststore0.10.4indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPIuvicorn0.52.4indirect
PyPIvirtualenv21.7.8indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 54 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

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, npm.