Public record
Software health reportschema 0.14.0 · metrics 2.10.0 · 2026-07-19 01:45 UTC

dcc-mcp / dcc-mcp-maya

Maya-specific implementation of Model Context Protocol (MCP) for Autodesk Maya, enabling remote control and integration with MCP ecosystem.

PythonMIT★ 38 stars⑂ 4 forkssince Mar 2025View on GitHub ↗
KindLibraryhow this is determined

dcc-mcp/dcc-mcp-maya holds a health index of 78 out of 100, placing it in the Good band. It scores highest on Engineering Quality (92/100) and lowest on Community & Adoption (45/100). It was last updated today. A single contributor accounts for most of its recent work.

78
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.

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

Ownership

DCC MCPOrganization
21 followers48 public repossince Jun 2026

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIdcc-mcp-maya0.9.163,392790 days agoaidccllmmayamcpmodel-context-protocol

Metrics by category

Vitality

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

80Excellent · 21% of overall

Development activity

73Good
How it's scored
36/36Push recency — last push 0 days ago
9/36Commit cadence — 13/52 weeks with commits
18/18Commit volume — 460 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year460
human_commit_share—
days_since_last_push0
active_weeks_last_year13

Release discipline

90Excellent
How it's scored
27/27Ships releases — 80 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~0.7 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count80
latest_release_tagv0.9.16
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases0.7

Community & Adoption

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

45Weak · 17% of overall

Popularity & adoption

32At Risk
How it's scored
25.4/60Stars — 38 stars
4/25Forks — 4 forks
2.7/15Watchers — 4 watchers
Inputs used
forks4
stars38
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

59Moderate
How it's scored
47.1/80Monthly downloads — 3,392 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesdcc-mcp-maya
dependents—
ecosystemspypi
total_downloads—
monthly_downloads3,392
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?

60Moderate · 23% of overall

Maintainer resilience (bus factor)

14Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1/22.5Commit distribution — top contributor authored 95% of commits
4.1/13.5Contributor breadth — 3 contributors
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled3
top_contributor_share0.954

Issue & PR responsiveness

80Excellent
How it's scored
41.6/42Issue resolution — 99% of issues closed
27.9/30PR acceptance — 321/345 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/25 approved changesets -- score normalized to 0
Inputs used
merged_prs321
open_issues1
closed_issues114
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.991
closed_unmerged_prs24
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

65Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
9.7/25Owner reach — 21 followers of dcc-mcp
12.6/25Track record — 48 public repos, account ~0 yr old
Inputs used
followers21
owner_typeOrganization
is_verified—
owner_logindcc-mcp
public_repos48
account_age_days46
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 0 days ago
20/20Version history — 79 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdcc-mcp-maya
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 8 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 25 out of 25 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 site — https://dcc-mcp.github.io/dcc-mcp-maya/
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepagehttps://dcc-mcp.github.io/dcc-mcp-maya/
docs_sitehttps://dcc-mcp.github.io/dcc-mcp-maya/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

48Weak · 16% of overall

Security posture

48Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 25 out of 25 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 0/25 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 30 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
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
4.5/7.5Vulnerabilities — 4 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.8
Excluded from scoring (no data or not applicable): Branch-Protection. Remaining weights renormalized.

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.

83Excellent · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md, GEMINI.md
15/15Machine-readable docs (llms.txt) — llms.txt present
0/40Legible commit history — no data
Inputs used
has_llms_txtyes
llms_txt_url—
legible_history_share—
agent_instruction_filesAGENTS.md, CLAUDE.md, GEMINI.md
agent_instruction_max_bytes33,478
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

74Good
How it's scored
18/18One-command bootstrap — justfile
22/22Automated tests
11/11Lint / format config
0/11Static type checking
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no data
0/8Automated maintenance — no data
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json
has_dockerfileno
typed_languageno
bootstrap_filesjustfile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share—
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
54.7/55Manageable file sizes — 2/396 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes71,791
source_files_sampled396
oversized_source_files2

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

38GitHub stars
3contributors
460commits, last 12 months
0days since last push
80releases
1bus factor
1open issues
npm, PyPIpackage ecosystems

More detail

OpenSSF Scorecard 4.8 / 10
4.8aggregate

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 · 2026-07-19 01:45 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests25 out of 25 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 0/25 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 30 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
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
6Vulnerabilities4 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIdcc-mcp-core>=0.19.45,<0.20.0pyproject.toml
PyPIdcc-mcp-server>=0.18.21,<1.0.0pyproject.toml
All dependencies 183

Full resolved dependency set from the GitHub dependency graph: 2 direct and 181 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIdcc-mcp-core—direct
PyPIdcc-mcp-server—direct
npm@algolia/abtesting1.16.1indirect
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npm@algolia/client-query-suggestions5.50.1indirect
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npm@docsearch/css3.8.2indirect
npm@docsearch/js3.8.2indirect
npm@docsearch/react3.8.2indirect
npm@esbuild/aix-ppc640.21.5indirect
npm@esbuild/android-arm0.21.5indirect
npm@esbuild/android-arm640.21.5indirect
npm@esbuild/android-x640.21.5indirect
npm@esbuild/darwin-arm640.21.5indirect
npm@esbuild/darwin-x640.21.5indirect
npm@esbuild/freebsd-arm640.21.5indirect
npm@esbuild/freebsd-x640.21.5indirect
npm@esbuild/linux-arm0.21.5indirect
npm@esbuild/linux-arm640.21.5indirect
npm@esbuild/linux-ia320.21.5indirect
npm@esbuild/linux-loong640.21.5indirect
npm@esbuild/linux-mips64el0.21.5indirect
npm@esbuild/linux-ppc640.21.5indirect
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npm@esbuild/linux-s390x0.21.5indirect
npm@esbuild/linux-x640.21.5indirect
npm@esbuild/netbsd-x640.21.5indirect
npm@esbuild/openbsd-x640.21.5indirect
npm@esbuild/sunos-x640.21.5indirect
npm@esbuild/win32-arm640.21.5indirect
npm@esbuild/win32-ia320.21.5indirect
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npm@rollup/rollup-android-arm-eabi4.60.1indirect
npm@rollup/rollup-android-arm644.60.1indirect
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npm@rollup/rollup-darwin-x644.60.1indirect
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npm@rollup/rollup-freebsd-x644.60.1indirect
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npm@rollup/rollup-linux-arm64-gnu4.60.1indirect
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npm@rollup/rollup-linux-ppc64-gnu4.60.1indirect
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npm@rollup/rollup-linux-riscv64-musl4.60.1indirect
npm@rollup/rollup-linux-s390x-gnu4.60.1indirect
npm@rollup/rollup-linux-x64-gnu4.60.1indirect
npm@rollup/rollup-linux-x64-musl4.60.1indirect
npm@rollup/rollup-openbsd-x644.60.1indirect
npm@rollup/rollup-openharmony-arm644.60.1indirect
npm@rollup/rollup-win32-arm64-msvc4.60.1indirect
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npmregex6.1.0indirect
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npmrfdc1.4.1indirect
npmrollup4.60.1indirect
npmsearch-insights2.17.3indirect
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npmunist-util-stringify-position4.0.0indirect
npmunist-util-visit5.1.0indirect
npmunist-util-visit-parents6.0.2indirect
npmvfile6.0.3indirect
npmvfile-message4.0.3indirect
npmvite5.4.21indirect
npmvitepress1.6.4indirect
npmvue3.5.32indirect
npmzwitch2.0.4indirect
PyPIpytest—indirect
PyPIpytest-cov—indirect
PyPIpytest-mock—indirect
PyPIpytest-timeout—indirect
PyPIpytest-xdist—indirect
PyPIpyyaml—indirect
PyPIrequests—indirect
PyPIruff—indirect
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 v2.10.0, schema v0.14.0 — full methodology · metrics wiki.

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