Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-06 00:38 UTC

samuelgursky / davinci-resolve-mcp

MCP server integration for DaVinci Resolve Studio

Python · JavaScriptMIT★ 2,403 stars⑂ 285 forkssince Mar 2025View on GitHub ↗
KindMCP serverCommand-line toolhow this is determined
#blackmagic#blackmagic-design#blackmagicdesign#davinci-resolve#davinciresolve#mcp#mcp-server

samuelgursky/davinci-resolve-mcp holds a health index of 80 out of 100, placing it in the Excellent band. It scores highest on Vitality (87/100) and lowest on Security (53/100). It was last updated today. A single contributor accounts for most of its recent work.

80
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.

80
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 68 is calibrated to 80 on the published index scale (record calibration 2026-08-02).

Ownership

Samuel GurskyPersonal account
108 followers11 public repossince May 2019Bradford Operations

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 publishTags
npmdavinci-resolve-mcp2.207.028,2023050 days agodavinci-resolveresolvemcpmodel-context-protocolvideo-editingpost-production

Metrics by category

Vitality

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

87Excellent · 21% of overall

Development activity

78Good
How it's scored
36/36Push recency — last push 0 days ago
14.5/36Commit cadence — 21/52 weeks with commits
18/18Commit volume — 736 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 25 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year736
human_commit_share1
days_since_last_push0
active_weeks_last_year21

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~0.3 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv2.207.0
releases_from_tagsno
days_since_latest_release0
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?

76Good · 17% of overall

Popularity & adoption

83Excellent
How it's scored
54.8/60Stars — 2,403 stars
20.4/25Forks — 285 forks
7.7/15Watchers — 25 watchers
Inputs used
forks285
stars2,403
watchers25
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

70Good
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
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges9
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

74Good
How it's scored
59.3/80Monthly downloads — 28,202 downloads/month across npm
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesdavinci-resolve-mcp
dependents—
ecosystemsnpm
total_downloads—
monthly_downloads28,202
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?

59Moderate · 23% of overall

Maintainer resilience (bus factor)

27At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1.9/22.5Commit distribution — top contributor authored 91% of commits
13.5/13.5Contributor breadth — 31 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled31
top_contributor_share0.914

Issue & PR responsiveness

69Good
How it's scored
42/42Issue resolution — 100% of issues closed
19/30PR acceptance — 62/98 decided PRs merged
6.5/13Newcomer PR acceptance — 8/16 first-time contributors' PRs merged in 30d
1.5/15OpenSSF Scorecard: Code-Review — Found 3/28 approved changesets -- score normalized to 1
Inputs used
merged_prs62
open_issues0
closed_issues83
prs_merged_7d5
prs_decided_7d14
prs_merged_30d16
prs_decided_30d28
issue_closed_ratio1
closed_unmerged_prs36
first_time_authors_30d10
first_time_prs_merged_30d8
first_time_prs_decided_30d16

Ownership & stewardship

56Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
14.6/25Owner reach — 108 followers of samuelgursky
19.9/25Track record — 11 public repos, account ~7 yr old
Inputs used
followers108
owner_typeUser
is_verified—
owner_loginsamuelgursky
public_repos11
account_age_days2,662
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 npm
35/35Publish recency — latest publish 0 days ago
20/20Version history — 305 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdavinci-resolve-mcp
ecosystemsnpm
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

63Moderate · 19% of overall

Engineering practices

48Weak
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 3 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

85Excellent
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 7 topics
10/10Wiki
Inputs used
topicsblackmagic, blackmagic-design, blackmagicdesign, davinci-resolve, davinciresolve, mcp, mcp-server
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

53Moderate · 16% of overall

Security posture

49Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
4.5/7.5Branch-Protection — branch protection is not maximal on development and all release branches
0/2.5CI-Tests — 0 out of 3 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-Review — Found 3/28 approved changesets -- score normalized to 1
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
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 25 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
2/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
0/7.5Vulnerabilities — 23 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.9
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

69Good
How it's scored
10.2/35Direct dependencies free of known advisories — 3 affected: adm-zip 0.5.18 (high 7.5), sharp 0.33.5 (high 7.3), uuid 9.0.1 (high 7.5)
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
33.7/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 136 days ago
Inputs used
sourceosv
advisories3
affected_packages3
assessed_packages197
unassessed_packages0
affected_by_severityhigh 3
direct_affected_packages3
Matched the npm:davinci-resolve-mcp@2.207.0 runtime dependency closure — what installing the published package pulls in — 197 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

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — .clinerules, .cursor/rules/resolve-audio.mdc, .cursor/rules/resolve-color.mdc, .cursor/rules/resolve-conform.mdc, .cursor/rules/resolve-delivery.mdc, .cursor/rules/resolve-edit.mdc, .cursor/rules/resolve-fusion.mdc, .cursor/rules/resolve-media-analysis.mdc, .cursor/rules/resolve-media-pool.mdc, .cursor/rules/resolve-repo.mdc, .cursorrules, .github/copilot-instructions.md, .github/instructions/resolve-audio.instructions.md, .github/instructions/resolve-color.instructions.md, .github/instructions/resolve-conform.instructions.md, .github/instructions/resolve-delivery.instructions.md, .github/instructions/resolve-edit.instructions.md, .github/instructions/resolve-fusion.instructions.md, .github/instructions/resolve-media-analysis.instructions.md, .github/instructions/resolve-media-pool.instructions.md, .windsurfrules, AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 98 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.98
agent_instruction_files.clinerules, .cursor/rules/resolve-audio.mdc, .cursor/rules/resolve-color.mdc, .cursor/rules/resolve-conform.mdc, .cursor/rules/resolve-delivery.mdc, .cursor/rules/resolve-edit.mdc, .cursor/rules/resolve-fusion.mdc, .cursor/rules/resolve-media-analysis.mdc, .cursor/rules/resolve-media-pool.mdc, .cursor/rules/resolve-repo.mdc, .cursorrules, .github/copilot-instructions.md, .github/instructions/resolve-audio.instructions.md, .github/instructions/resolve-color.instructions.md, .github/instructions/resolve-conform.instructions.md, .github/instructions/resolve-delivery.instructions.md, .github/instructions/resolve-edit.instructions.md, .github/instructions/resolve-fusion.instructions.md, .github/instructions/resolve-media-analysis.instructions.md, .github/instructions/resolve-media-pool.instructions.md, .windsurfrules, AGENTS.md, CLAUDE.md
agent_instruction_max_bytes10,147

Verify loop (build / test / typecheck)

32At Risk
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
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
lockfilespackage-lock.json
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
53.6/55Manageable file sizes — 16/621 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes1,457,618
source_files_sampled621
oversized_source_files16

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
40/40Runnable examples — examples
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

2,403GitHub stars
31contributors
736commits, last 12 months
0days since last push
100releases
1bus factor
0open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • First-time contributor figures cover 12 of 19 authors (cap 12)

More detail

Star and fork history 0 ★ / 285 ⇿
0Stars
285Forks
96Releases

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.

050100150200250300282102025-032025-122026-09
Major 0Minor 88Patch 8

Each point covers 2 days.

OpenSSF Scorecard 4.9 / 10
4.9aggregate

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 · 2026-09-06 00:37 UTC

10Binary-Artifactsno binaries found in the repo
6Branch-Protectionbranch protection is not maximal on development and all release branches
0CI-Tests0 out of 3 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 3/28 approved changesets -- score normalized to 1
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 25 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
4Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
0Vulnerabilities23 existing vulnerabilities detected
Direct dependencies 15
RegistryPackageVersion constraintManifest
npm@modelcontextprotocol/sdk^1.27.1package.json
npmadm-zip^0.5.16package.json
npmfast-xml-parser^5.7.3package.json
npmfzstd^0.1.1package.json
npmjszip^3.10.1package.json
npmuuid^9.0.0package.json
npmzod^3.25.76package.json
npmzstd-codec^0.1.5package.json
npm@modelcontextprotocol/sdk^1.27.1resolve-advanced/package.json
npmadm-zip^0.6.0resolve-advanced/package.json
npmfast-xml-parser^5.7.3resolve-advanced/package.json
npmfzstd^0.1.1resolve-advanced/package.json
npmjszip^3.10.1resolve-advanced/package.json
npmzod^3.25.76resolve-advanced/package.json
npmzstd-codec^0.1.5resolve-advanced/package.json
All dependencies 238

Full resolved dependency set from the GitHub dependency graph: 10 direct and 228 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
npm@modelcontextprotocol/sdk1.29.0direct
npmadm-zip0.5.17direct
npmadm-zip0.6.0direct
npmfast-xml-parser5.11.1direct
npmfast-xml-parser5.9.3direct
npmfzstd0.1.1direct
npmjszip3.10.1direct
npmuuid9.0.1direct
npmzod3.25.76direct
npmzstd-codec0.1.5direct
npm@emnapi/runtime1.11.1indirect
npm@emnapi/runtime1.11.3indirect
npm@hono/node-server1.19.14indirect
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npm@img/colour1.1.0indirect
npm@img/sharp-darwin-arm640.33.5indirect
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npm@img/sharp-libvips-linux-arm1.0.5indirect
npm@img/sharp-libvips-linux-arm1.3.3indirect
npm@img/sharp-libvips-linux-arm641.0.4indirect
npm@img/sharp-libvips-linux-arm641.3.3indirect
npm@img/sharp-libvips-linux-ppc641.3.3indirect
npm@img/sharp-libvips-linux-riscv641.3.3indirect
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npm@img/sharp-libvips-linux-x641.3.3indirect
npm@img/sharp-libvips-linuxmusl-arm641.0.4indirect
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npm@img/sharp-libvips-linuxmusl-x641.3.3indirect
npm@img/sharp-linux-arm0.33.5indirect
npm@img/sharp-linux-arm0.35.4indirect
npm@img/sharp-linux-arm640.33.5indirect
npm@img/sharp-linux-arm640.35.4indirect
npm@img/sharp-linux-ppc640.35.4indirect
npm@img/sharp-linux-riscv640.35.4indirect
npm@img/sharp-linux-s390x0.33.5indirect
npm@img/sharp-linux-s390x0.35.4indirect
npm@img/sharp-linux-x640.33.5indirect
npm@img/sharp-linux-x640.35.4indirect
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npm@img/sharp-linuxmusl-arm640.35.4indirect
npm@img/sharp-linuxmusl-x640.33.5indirect
npm@img/sharp-linuxmusl-x640.35.4indirect
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npmrouter2.2.0indirect
npmsafe-buffer5.1.2indirect
npmsafer-buffer2.1.2indirect
npmsemver7.8.5indirect
npmsend1.2.1indirect
npmserve-static2.2.1indirect
npmsetimmediate1.0.5indirect
npmsetprototypeof1.2.0indirect
npmsharp0.33.5indirect
npmsharp0.35.4indirect
npmshebang-command2.0.0indirect
npmshebang-regex3.0.0indirect
npmside-channel1.1.1indirect
npmside-channel-list1.0.1indirect
npmside-channel-map1.0.1indirect
npmside-channel-weakmap1.0.2indirect
npmsimple-concat1.0.1indirect
npmsimple-get4.0.1indirect
npmsimple-swizzle0.2.4indirect
npmsplit24.2.0indirect
npmstatuses2.0.2indirect
npmstring_decoder1.1.1indirect
npmstrip-json-comments2.0.1indirect
npmstrnum2.4.1indirect
npmstrnum2.4.2indirect
npmtar-fs2.1.4indirect
npmtar-stream2.2.0indirect
npmtoidentifier1.0.1indirect
npmtslib2.8.1indirect
npmtunnel-agent0.6.0indirect
npmtype-is2.1.0indirect
npmunpipe1.0.0indirect
npmutil-deprecate1.0.2indirect
npmvary1.1.2indirect
npmwhich2.0.2indirect
npmwrappy1.0.2indirect
npmxml-naming0.1.0indirect
npmxml-naming0.3.0indirect
npmxtend4.0.2indirect
npmzod-to-json-schema3.25.2indirect
PyPImcp—indirect
PyPIpyaaf2—indirect
Dependency advisories 3

Installing npm:davinci-resolve-mcp@2.207.0 pulls in 197 packages, direct and transitive: 3 carry known advisories, of which 3 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
adm-zip0.5.18directhigh10.6.0
sharp0.33.5directhigh10.35.0
uuid9.0.1directhigh113.0.1

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.

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94dbt-labs/dbt-mcpA MCP (Model Context Protocol) server for interacting with dbt.Exceptional94zereight/gitlab-mcpFirst gitlab mcp for you, building togetherExceptional93DeusData/codebase-memory-mcpHigh-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.Exceptional96PrefectHQ/fastmcp🚀 The fast, Pythonic way to build MCP servers and clients.Exceptional96mcp-use/mcp-useThe fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.Exceptional94microsoft/flint-chart🪄 Flint is a visualization language that lets AI agents reliably create expressive, good-looking charts from simple, human-editable chart specs.Exceptional

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 statistics — npm.