Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-17 19:26 UTC

taylorwilsdon / google_workspace_mcp

Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, Search & Drive with AI - Comprehensive Google Workspace MCP Server & CLI Tool

PythonMIT★ 3,179 stars⑂ 994 forkssince Apr 2025View on GitHub ↗
KindCommand-line toolLibraryNetwork serviceMCP serverhow this is determined
#ai#gmail#google-calendar#google-workspace#llm#llm-tools#mcp#mcp-server#google-chat#google-drive#google-sheets#model-context-protocol-server#google-docs#google-forms#google-tasks#gsuite#chatgpt#claude#claude-code#claude-desktop

taylorwilsdon/google_workspace_mcp holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Vitality (96/100) and lowest on AI Readiness (55/100). It was last updated today. A single contributor accounts for most of its recent work.

91
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.

91
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 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

Taylor WilsdonPersonal account
316 followers36 public repossince Jan 2014@yelp

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
PyPIworkspace-mcp1.26.2-1111 day agomcpgoogleworkspacellmaiclaudemodelcontextprotocolserver

Metrics by category

Vitality

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

96Exceptional · 21% of overall

Development activity

100Exceptional
How it's scored
36/36Push recency — last push 0 days ago
36/36Commit cadence — 52/52 weeks with commits
18/18Commit volume — 2,063 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 11 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year2,063
human_commit_share0.97
days_since_last_push0
active_weeks_last_year52

Release discipline

90Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 1 days ago
27/27Release cadence — a release every ~5.2 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv1.26.2
releases_from_tagsno
days_since_latest_release1
mean_days_between_releases5.2

Community & Adoption

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

83Excellent · 17% of overall

Popularity & adoption

89Excellent
How it's scored
56.8/60Stars — 3,179 stars
25/25Forks — 994 forks
7.1/15Watchers — 20 watchers
Inputs used
forks994
stars3,179
watchers20
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

77Good
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
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges6
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateyes

Sustainability & Governance

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

64Moderate · 23% of overall

Maintainer resilience (bus factor)

36Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
3.8/22.5Commit distribution — top contributor authored 83% of commits
13.5/13.5Contributor breadth — 95 contributors
10/10OpenSSF Scorecard: Contributors — project has 22 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled95
top_contributor_share0.829

Issue & PR responsiveness

68Good
How it's scored
32.5/42Issue resolution — 77% of issues closed
21.5/30PR acceptance — 446/622 decided PRs merged
11.4/13Newcomer PR acceptance — 7/8 first-time contributors' PRs merged in 30d
3/15OpenSSF Scorecard: Code-Review — Found 3/11 approved changesets -- score normalized to 2
Inputs used
merged_prs446
open_issues90
closed_issues308
prs_merged_7d12
prs_decided_7d18
prs_merged_30d34
prs_decided_30d51
issue_closed_ratio0.774
closed_unmerged_prs176
first_time_authors_30d6
first_time_prs_merged_30d7
first_time_prs_decided_30d8

Ownership & stewardship

64Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
18/25Owner reach — 316 followers of taylorwilsdon
23.4/25Track record — 36 public repos, account ~12 yr old
Inputs used
followers316
owner_typeUser
is_verified—
owner_logintaylorwilsdon
public_repos36
account_age_days4,617
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 1 days ago
20/20Version history — 111 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesworkspace-mcp
ecosystemspypi
any_deprecatedno
min_days_since_publish1

Engineering Quality

Are baseline engineering and documentation practices in place?

71Good · 19% of overall

Engineering practices

68Good
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 7 out of 7 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

75Good
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://workspacemcp.com
10/10Repository description
10/10Topics — 20 topics
10/10Wiki
Inputs used
topicsai, gmail, google-calendar, google-workspace, llm, llm-tools, mcp, mcp-server, google-chat, google-drive, google-sheets, model-context-protocol-server, google-docs, google-forms, google-tasks, gsuite, chatgpt, claude, claude-code, claude-desktop
has_wikiyes
homepagehttps://workspacemcp.com
docs_sitehttps://workspacemcp.com
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

74Good · 16% of overall

Security posture

67Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 7 out of 7 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
1.5/7.5Code-Review — Found 3/11 approved changesets -- score normalized to 2
2.5/2.5Contributors — project has 22 contributing companies or organizations
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 11 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
2.5/5SAST — SAST tool is not run on all commits -- score normalized to 5
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate6.7

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages95
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:workspace-mcp@1.26.2 runtime dependency closure — what installing the published package pulls in — 95 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.

55Moderate · 4% of overall

Agent context & guidance

82Excellent
How it's scored
45/45Agent instructions — .github/instructions/general.instructions.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://workspacemcp.com/llms.txt)
22/40Legible commit history — 40 of 97 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://workspacemcp.com/llms.txt
legible_history_share0.412
agent_instruction_files.github/instructions/general.instructions.md
agent_instruction_max_bytes4,977

Verify loop (build / test / typecheck)

50Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 7 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 1 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share0.07
toolchain_manifests—
dependency_bot_commit_share0.01

Code legibility for models

52Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
52.5/55Manageable file sizes — 10/220 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes169,031
source_files_sampled220
oversized_source_files10

Machine-readable interfaces

20At Risk
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
0/40Runnable examples
Inputs used
example_dirs—
has_mcp_signalyes
api_schema_files—
interfaces_expected_ofnetwork-service

Key facts

3,179GitHub stars
95contributors
2,063commits, last 12 months
0days since last push
100releases
1bus factor
90open issues
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 30 authors (cap 12)
  • pypi download statistics for 'workspace-mcp' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced

More detail

Star and fork history 0 ★ / 994 ⇿
0Stars
994Forks
99Releases

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.

02004006008001,000980112025-052026-012026-09
Major 0Minor 25Patch 74

Each point covers 2 days.

OpenSSF Scorecard 6.7 / 10
6.7aggregate

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 · 2026-09-17 19:25 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests7 out of 7 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 3/11 approved changesets -- score normalized to 2
10Contributorsproject has 22 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 11 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
5SASTSAST tool is not run on all commits -- score normalized to 5
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
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 18
RegistryPackageVersion constraintManifest
PyPIfastapi>=0.115.12pyproject.toml
PyPIfastmcp>=3.4.7pyproject.toml
PyPIgoogle-api-python-client>=2.168.0pyproject.toml
PyPIgoogle-auth-httplib2>=0.2.0pyproject.toml
PyPIgoogle-auth-oauthlib>=1.2.2pyproject.toml
PyPIhttpx>=0.28.1pyproject.toml
PyPIurllib3>=2.7.0pyproject.toml
PyPIpy-key-value-aio>=0.3.0pyproject.toml
PyPIpyjwt>=2.12.0pyproject.toml
PyPIpython-dotenv>=1.1.0pyproject.toml
PyPIpyyaml>=6.0.2pyproject.toml
PyPIcryptography>=50.0.0pyproject.toml
PyPIdefusedxml>=0.7.1pyproject.toml
PyPIemail-validator>=2.0.0pyproject.toml
PyPIpypdf>=6.15.0pyproject.toml
PyPIpytz>=2026.1.post1pyproject.toml
PyPItzdata>=2026.1pyproject.toml
PyPImarkdown-it-py>=3.0.0pyproject.toml
All dependencies 132

Full resolved dependency set from the GitHub dependency graph: 18 direct and 114 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcryptography50.0.0direct
PyPIdefusedxml0.7.1direct
PyPIemail-validator2.3.0direct
PyPIfastapi0.135.3direct
PyPIfastmcp3.4.7direct
PyPIgoogle-api-python-client2.194.0direct
PyPIgoogle-auth-httplib20.3.1direct
PyPIgoogle-auth-oauthlib1.3.1direct
PyPIhttpx0.28.1direct
PyPImarkdown-it-py4.0.0direct
PyPIpy-key-value-aio0.4.4direct
PyPIpyjwt2.13.0direct
PyPIpypdf6.16.1direct
PyPIpython-dotenv1.2.2direct
PyPIpytz2026.1.post1direct
PyPIpyyaml6.0.3direct
PyPItzdata2026.3direct
PyPIurllib32.7.0direct
PyPIaiofile3.9.0indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.13.0indirect
PyPIattrs26.1.0indirect
PyPIauthlib1.7.1indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbeartype0.22.9indirect
PyPIcachetools7.0.5indirect
PyPIcaio0.9.25indirect
PyPIcertifi2026.2.25indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.3.2indirect
PyPIcolorama0.4.6indirect
PyPIcyclopts4.10.2indirect
PyPIdnspython2.8.0indirect
PyPIdocstring-parser0.18.0indirect
PyPIdocutils0.22.4indirect
PyPIexceptiongroup1.3.1indirect
PyPIfastmcp-slim3.4.7indirect
PyPIgoogle-api-core2.30.3indirect
PyPIgoogle-auth2.49.2indirect
PyPIgoogle-cloud-core2.5.1indirect
PyPIgoogle-cloud-storage3.10.1indirect
PyPIgoogle-crc32c1.8.0indirect
PyPIgoogle-resumable-media2.8.2indirect
PyPIgoogleapis-common-protos1.74.0indirect
PyPIgriffelib2.0.2indirect
PyPIgrpcio1.83.0indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpcore22.12.0indirect
PyPIhttplib20.32.0indirect
PyPIhttpx-sse0.4.3indirect
PyPIhttpx22.12.0indirect
PyPIhttpx2-jsfetch1.0indirect
PyPIid1.6.1indirect
PyPIidna3.18indirect
PyPIimportlib-metadata8.7.1indirect
PyPIiniconfig2.3.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.4.0indirect
PyPIjeepney0.9.0indirect
PyPIjoserfc1.6.8indirect
PyPIjsonref1.1.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-path0.4.5indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIkeyring25.7.0indirect
PyPImcp1.28.1indirect
PyPImdurl0.1.2indirect
PyPImore-itertools11.0.2indirect
PyPInh30.3.4indirect
PyPIoauthlib3.3.1indirect
PyPIopenapi-pydantic0.5.1indirect
PyPIopentelemetry-api1.44.0indirect
PyPIopentelemetry-exporter-otlp1.44.0indirect
PyPIopentelemetry-exporter-otlp-proto-common1.44.0indirect
PyPIopentelemetry-exporter-otlp-proto-grpc1.44.0indirect
PyPIopentelemetry-exporter-otlp-proto-http1.44.0indirect
PyPIopentelemetry-proto1.44.0indirect
PyPIopentelemetry-sdk1.44.0indirect
PyPIopentelemetry-semantic-conventions0.65b0indirect
PyPIpackaging26.1indirect
PyPIpathable0.5.0indirect
PyPIplatformdirs4.9.6indirect
PyPIpluggy1.6.0indirect
PyPIproto-plus1.27.2indirect
PyPIprotobuf7.34.1indirect
PyPIpyasn10.6.4indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser3.0indirect
PyPIpydantic2.13.0indirect
PyPIpydantic-core2.46.0indirect
PyPIpydantic-settings2.14.2indirect
PyPIpygments2.20.0indirect
PyPIpyparsing3.3.2indirect
PyPIpyperclip1.11.0indirect
PyPIpytest9.0.3indirect
PyPIpytest-asyncio1.3.0indirect
PyPIpython-multipart0.0.32indirect
PyPIpywin32311indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIreadme-renderer44.0indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.33.1indirect
PyPIrequests-oauthlib2.0.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc39862.0.0indirect
PyPIrich15.0.0indirect
PyPIrich-rst1.3.2indirect
PyPIrpds-py0.30.0indirect
PyPIruff0.15.22indirect
PyPIsecretstorage3.5.0indirect
PyPIsniffio1.3.1indirect
PyPIsse-starlette3.3.4indirect
PyPIstarlette1.3.1indirect
PyPItomli2.4.1indirect
PyPItomlkit0.14.0indirect
PyPItruststore0.10.4indirect
PyPItwine6.2.0indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPIuncalled-for0.3.1indirect
PyPIuritemplate4.2.0indirect
PyPIuvicorn0.44.0indirect
PyPIvalkey-glide2.3.1indirect
PyPIwatchfiles1.1.1indirect
PyPIwebsockets16.0indirect
PyPIworkspace-mcp1.26.1indirect
PyPIzipp3.23.1indirect
Dependency advisories 0

Installing pypi:workspace-mcp@1.26.2 pulls in 95 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

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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 — PyPI.