Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-18 05:18 UTC

vishalsachdev / canvas-mcp

Canvas LMS MCP server — up to 102 tools and 8 agent skills for students & educators. Works with Claude, Cursor, Codex, and 40+ agents.

PythonMIT★ 253 stars⑂ 83 forkssince Feb 2025View on GitHub ↗
KindMCP serverCommand-line toolLibraryhow this is determined
#agent-skills#skills-sh

vishalsachdev/canvas-mcp holds a health index of 92 out of 100, placing it in the Excellent band. It scores highest on Vitality (96/100) and lowest on Community & Adoption (54/100). It was last updated 3 days ago. A single contributor accounts for most of its recent work.

92
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.

92
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 78 is calibrated to 92 on the published index scale (record calibration 2026-08-02).

Ownership

Vishal SachdevPersonal account
48 followers130 public repossince Aug 2018University of Illinois at Urbana–Champaign

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
PyPIcanvas-mcp1.12.01,5892118 days agoapicanvasclaudeeducationlmsmcp

Metrics by category

Vitality

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

96Exceptional · 21% of overall

Development activity

94Exceptional
How it's scored
36/36Push recency — last push 3 days ago
29.8/36Commit cadence — 43/52 weeks with commits
18/18Commit volume — 692 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 28 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year692
human_commit_share0.91
days_since_last_push3
active_weeks_last_year43

Release discipline

98Exceptional
How it's scored
27/27Ships releases — 17 releases published
36/36Release recency — latest release 18 days ago
27/27Release cadence — a release every ~13.3 days
8/10OpenSSF Scorecard: Signed-Releases — 4 out of the last 5 releases have a total of 4 signed artifacts.
Inputs used
releases_count17
latest_release_tagv1.12.0
releases_from_tagsno
days_since_latest_release18
mean_days_between_releases13.3

Community & Adoption

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

54Moderate · 17% of overall

Popularity & adoption

58Moderate
How it's scored
39/60Stars — 253 stars
16/25Forks — 83 forks
2.7/15Watchers — 4 watchers
Inputs used
forks83
stars253
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_badges2
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

53Moderate
How it's scored
42.7/80Monthly downloads — 1,589 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagescanvas-mcp
dependents—
ecosystemspypi
total_downloads—
monthly_downloads1,589
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?

64Moderate · 23% of overall

Maintainer resilience (bus factor)

33At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
4.3/22.5Commit distribution — top contributor authored 81% of commits
13.5/13.5Contributor breadth — 18 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled18
top_contributor_share0.811

Issue & PR responsiveness

76Good
How it's scored
39.6/42Issue resolution — 94% of issues closed
26.7/30PR acceptance — 224/252 decided PRs merged
9.8/13Newcomer PR acceptance — 3/4 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/10 approved changesets -- score normalized to 0
Inputs used
merged_prs224
open_issues7
closed_issues113
prs_merged_7d12
prs_decided_7d12
prs_merged_30d38
prs_decided_30d40
issue_closed_ratio0.942
closed_unmerged_prs28
first_time_authors_30d4
first_time_prs_merged_30d3
first_time_prs_decided_30d4

Ownership & stewardship

59Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
12.2/25Owner reach — 48 followers of vishalsachdev
25/25Track record — 130 public repos, account ~8 yr old
Inputs used
followers48
owner_typeUser
is_verified—
owner_loginvishalsachdev
public_repos130
account_age_days2,948
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 18 days ago
20/20Version history — 21 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagescanvas-mcp
ecosystemspypi
any_deprecatedno
min_days_since_publish18

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 12 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff], [tool.black])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 12 out of 12 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — http://canvas-mcp.illinihunt.org/
10/10Repository description
10/10Topics — 2 topics
10/10Wiki
Inputs used
topicsagent-skills, skills-sh
has_wikiyes
homepagehttp://canvas-mcp.illinihunt.org/
docs_sitehttp://canvas-mcp.illinihunt.org/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

82Excellent · 16% of overall

Security posture

77Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 12 out of 12 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 0/10 approved changesets -- score normalized to 0
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
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 28 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
2.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
6/7.5Signed-Releases — 4 out of the last 5 releases have a total of 4 signed artifacts.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate7.7

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_packages70
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:canvas-mcp@1.12.0 runtime dependency closure — what installing the published package pulls in — 70 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.

88Excellent · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt present
40/40Legible commit history — 79 of 91 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_url—
legible_history_share0.868
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes38,832

Verify loop (build / test / typecheck)

77Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff], [tool.black])
11/11Static type checking — tsconfig.json
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 49 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 9 of the last 100 commits are automated dependency updates
5/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configstsconfig.json
agent_commit_share0.49
toolchain_manifests—
dependency_bot_commit_share0.09

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (tsconfig.json)
54.2/55Manageable file sizes — 2/139 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes112,008
source_files_sampled139
oversized_source_files2

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

253GitHub stars
18contributors
692commits, last 12 months
3days since last push
17releases
1bus factor
7open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch npm package 'canvas-mcp-code-api' from its registry

More detail

Star and fork history 0 ★ / 83 ⇿
0Stars
83Forks
17Releases

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.

0204060801008332025-042025-122026-09
Major 0Minor 12Patch 5

Each point covers 2 days.

OpenSSF Scorecard 7.7 / 10
7.7aggregate

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 · 2026-09-18 05:17 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests12 out of 12 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 0/10 approved changesets -- score normalized to 0
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 28 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
8Signed-Releases4 out of the last 5 releases have a total of 4 signed artifacts.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 7
RegistryPackageVersion constraintManifest
PyPIfastmcp>=4,<5pyproject.toml
PyPImcp>=2,<3pyproject.toml
PyPIhttpx>=0.28.1,<1pyproject.toml
PyPIpython-dotenv>=1.2.2,<2pyproject.toml
PyPIpydantic>=2.13.1,<3pyproject.toml
PyPIpython-dateutil>=2.9.0,<3pyproject.toml
PyPIuvicorn>=0.50.0,<1pyproject.toml
All dependencies 157

Full resolved dependency set from the GitHub dependency graph: 7 direct and 150 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIfastmcp4.0.3direct
PyPIhttpx0.28.1direct
PyPImcp2.1.1direct
PyPIpydantic2.13.4direct
PyPIpython-dateutil2.9.0.post0direct
PyPIpython-dotenv1.2.2direct
PyPIuvicorn0.50.0direct
npm@esbuild/aix-ppc640.28.2indirect
npm@esbuild/android-arm0.28.2indirect
npm@esbuild/android-arm640.28.2indirect
npm@esbuild/android-x640.28.2indirect
npm@esbuild/darwin-arm640.28.2indirect
npm@esbuild/darwin-x640.28.2indirect
npm@esbuild/freebsd-arm640.28.2indirect
npm@esbuild/freebsd-x640.28.2indirect
npm@esbuild/linux-arm0.28.2indirect
npm@esbuild/linux-arm640.28.2indirect
npm@esbuild/linux-ia320.28.2indirect
npm@esbuild/linux-loong640.28.2indirect
npm@esbuild/linux-mips64el0.28.2indirect
npm@esbuild/linux-ppc640.28.2indirect
npm@esbuild/linux-riscv640.28.2indirect
npm@esbuild/linux-s390x0.28.2indirect
npm@esbuild/linux-x640.28.2indirect
npm@esbuild/netbsd-arm640.28.2indirect
npm@esbuild/netbsd-x640.28.2indirect
npm@esbuild/openbsd-arm640.28.2indirect
npm@esbuild/openbsd-x640.28.2indirect
npm@esbuild/openharmony-arm640.28.2indirect
npm@esbuild/sunos-x640.28.2indirect
npm@esbuild/win32-arm640.28.2indirect
npm@esbuild/win32-ia320.28.2indirect
npm@esbuild/win32-x640.28.2indirect
npm@types/node26.5.1indirect
npm@typescript/typescript-aix-ppc647.0.2indirect
npm@typescript/typescript-darwin-arm647.0.2indirect
npm@typescript/typescript-darwin-x647.0.2indirect
npm@typescript/typescript-freebsd-arm647.0.2indirect
npm@typescript/typescript-freebsd-x647.0.2indirect
npm@typescript/typescript-linux-arm7.0.2indirect
npm@typescript/typescript-linux-arm647.0.2indirect
npm@typescript/typescript-linux-loong647.0.2indirect
npm@typescript/typescript-linux-mips64el7.0.2indirect
npm@typescript/typescript-linux-ppc647.0.2indirect
npm@typescript/typescript-linux-riscv647.0.2indirect
npm@typescript/typescript-linux-s390x7.0.2indirect
npm@typescript/typescript-linux-x647.0.2indirect
npm@typescript/typescript-netbsd-arm647.0.2indirect
npm@typescript/typescript-netbsd-x647.0.2indirect
npm@typescript/typescript-openbsd-arm647.0.2indirect
npm@typescript/typescript-openbsd-x647.0.2indirect
npm@typescript/typescript-sunos-x647.0.2indirect
npm@typescript/typescript-win32-arm647.0.2indirect
npm@typescript/typescript-win32-x647.0.2indirect
npmesbuild0.28.2indirect
npmfsevents2.3.3indirect
npmtsx4.23.13indirect
npmtypescript7.0.2indirect
npmundici-types8.9.0indirect
PyPIaiofile3.11.1indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.14.1indirect
PyPIattrs26.1.0indirect
PyPIauthlib1.7.2indirect
PyPIazure-communication-email1.1.0indirect
PyPIazure-core1.41.0indirect
PyPIazure-data-tables12.7.0indirect
PyPIazure-identity1.25.3indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbeartype0.22.9indirect
PyPIblack26.5.1indirect
PyPIcachetools7.1.4indirect
PyPIcaio0.9.25indirect
PyPIcanvas-mcp1.12.0indirect
PyPIcertifi2026.6.17indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
PyPIcryptography50.0.0indirect
PyPIcyclopts4.20.0indirect
PyPIdnspython2.8.0indirect
PyPIdocstring-parser0.18.0indirect
PyPIemail-validator2.3.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIfastmcp-slim4.0.3indirect
PyPIgriffelib2.1.0indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpcore22.12.0indirect
PyPIhttpx22.12.0indirect
PyPIhttpx2-jsfetch1.0indirect
PyPIidna3.18indirect
PyPIimportlib-metadata9.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIisodate0.7.2indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.5.0indirect
PyPIjeepney0.9.0indirect
PyPIjoserfc1.7.2indirect
PyPIjsonref1.1.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-path0.5.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIkeyring25.7.0indirect
PyPIlibrt0.12.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImcp-types2.1.1indirect
PyPImdurl0.1.2indirect
PyPImore-itertools11.1.0indirect
PyPImsal1.37.0indirect
PyPImsal-extensions1.3.1indirect
PyPImultidict6.7.1indirect
PyPImypy1.20.2indirect
PyPImypy-extensions1.1.0indirect
PyPIopenapi-pydantic0.5.1indirect
PyPIopentelemetry-api1.43.0indirect
PyPIpackaging26.2indirect
PyPIpathable0.6.0indirect
PyPIpathspec1.1.1indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIpropcache0.5.2indirect
PyPIpy-key-value-aio0.4.5indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-settings2.14.2indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpyperclip1.11.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpython-multipart0.0.32indirect
PyPIpytokens0.4.1indirect
PyPIpywin32312indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIrich15.0.0indirect
PyPIrich-rst2.0.2indirect
PyPIrpds-py2026.6.3indirect
PyPIruff0.15.20indirect
PyPIsecretstorage3.5.0indirect
PyPIsix1.17.0indirect
PyPIsse-starlette3.4.5indirect
PyPIstarlette1.3.1indirect
PyPItruststore0.10.4indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.2indirect
PyPIuncalled-for0.4.0indirect
PyPIurllib32.7.0indirect
PyPIwatchfiles1.2.0indirect
PyPIwebsockets16.0indirect
PyPIyarl1.24.2indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

Installing pypi:canvas-mcp@1.12.0 pulls in 70 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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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 — PyPI.