Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-28 08:51 UTC

homeassistant-ai / ha-mcp

The Unofficial and Awesome Home Assistant MCP Server

PythonMIT★ 4,534 stars⑂ 200 forkssince Sep 2025View on GitHub ↗
KindLibraryCommand-line toolMCP serverhow this is determined
#ai#claude#hacs#home-assistant#home-automation#llm#mcp#model-context-protocol

homeassistant-ai/ha-mcp holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Vitality (95/100) and lowest on Security (66/100). It was last updated today. 2 contributors account for most of its recent work.

94
overall / 100
Exceptional

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.

94
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 81 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

The Unofficial Home Assistant AI ToolkitOrganization
193 followers10 public repossince Sep 2025

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIha-mcp8.3.0469,2461098 days agomcphome-assistantaiautomationsmart-home
npmsite2.60.42,7582371322 days agogameappwebsiteframeworkengineanimationhtml5svghtmlwebblog

Metrics by category

Vitality

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

95Exceptional · 21% of overall

Development activity

99Exceptional
How it's scored
36/36Push recency — last push 0 days ago
34.6/36Commit cadence — 50/52 weeks with commits
18/18Commit volume — 2,443 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 29 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year2,443
human_commit_share0.35
days_since_last_push0
active_weeks_last_year50

Release discipline

90Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~2.8 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv8.3.0.dev2442
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases2.8

Community & Adoption

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

85Excellent · 17% of overall

Popularity & adoption

86Excellent
How it's scored
59.3/60Stars — 4,534 stars
19.2/25Forks — 200 forks
7.2/15Watchers — 21 watchers
Inputs used
forks200
stars4,534
watchers21
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_badges10
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

94Exceptional
How it's scored
75.6/80Monthly downloads — 469,246 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesha-mcp
dependents—
ecosystemspypi
total_downloads—
monthly_downloads469,246
unverified_packages_excludedsite
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?

72Good · 23% of overall

Maintainer resilience (bus factor)

56Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
14.5/22.5Commit distribution — top contributor authored 36% of commits
13.5/13.5Contributor breadth — 61 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor2
contributors_sampled61
top_contributor_share0.356

Issue & PR responsiveness

83Excellent
How it's scored
41.6/42Issue resolution — 99% of issues closed
26.7/30PR acceptance — 1,324/1,490 decided PRs merged
11.4/13Newcomer PR acceptance — 7/8 first-time contributors' PRs merged in 30d
3/15OpenSSF Scorecard: Code-Review — Found 7/30 approved changesets -- score normalized to 2
Inputs used
merged_prs1,324
open_issues6
closed_issues694
prs_merged_7d22
prs_decided_7d25
prs_merged_30d42
prs_decided_30d47
issue_closed_ratio0.991
closed_unmerged_prs166
first_time_authors_30d5
first_time_prs_merged_30d7
first_time_prs_decided_30d8

Ownership & stewardship

56Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
16.4/25Owner reach — 193 followers of homeassistant-ai
9.5/25Track record — 10 public repos, account ~0 yr old
Inputs used
followers193
owner_typeOrganization
is_verifiedno
owner_loginhomeassistant-ai
public_repos10
account_age_days347

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 2 package(s) on npm, pypi
35/35Publish recency — latest publish 8 days ago
20/20Version history — 237 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesha-mcp, site
ecosystemsnpm, pypi
any_deprecatedno
min_days_since_publish8

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 39 workflow(s)
24/24Tests present
16/16Linter config — eslint.config.js, pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 13 out of 13 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

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://homeassistant-ai.github.io/ha-mcp/
10/10Repository description
10/10Topics — 8 topics
0/10Wiki
Inputs used
topicsai, claude, hacs, home-assistant, home-automation, llm, mcp, model-context-protocol
has_wikino
homepagehttps://homeassistant-ai.github.io/ha-mcp/
docs_sitehttps://homeassistant-ai.github.io/ha-mcp/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

66Good · 16% of overall

Security posture

58Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 13 out of 13 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 7/30 approved changesets -- score normalized to 2
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
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 29 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
4/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
1.5/5SAST — SAST tool is not run on all commits -- score normalized to 3
5/5Security-Policy — security policy file 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
3/7.5Vulnerabilities — 6 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5.8

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:ha-mcp@8.3.0 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.

79Good · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md, homeassistant-addon-webhook-proxy-dev/AGENTS.md, homeassistant-addon-webhook-proxy-dev/CLAUDE.md, homeassistant-addon-webhook-proxy/AGENTS.md, homeassistant-addon-webhook-proxy/CLAUDE.md, site/AGENTS.md, site/CLAUDE.md, site/src/data/AGENTS.md, site/src/data/CLAUDE.md, src/ha_mcp/settings_ui/AGENTS.md, src/ha_mcp/settings_ui/CLAUDE.md, tests/AGENTS.md, tests/CLAUDE.md, tests/uat/AGENTS.md, tests/uat/CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://modelcontextprotocol.io/llms.txt)
40/40Legible commit history — 34 of 35 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://modelcontextprotocol.io/llms.txt
legible_history_share0.971
agent_instruction_filesAGENTS.md, CLAUDE.md, homeassistant-addon-webhook-proxy-dev/AGENTS.md, homeassistant-addon-webhook-proxy-dev/CLAUDE.md, homeassistant-addon-webhook-proxy/AGENTS.md, homeassistant-addon-webhook-proxy/CLAUDE.md, site/AGENTS.md, site/CLAUDE.md, site/src/data/AGENTS.md, site/src/data/CLAUDE.md, src/ha_mcp/settings_ui/AGENTS.md, src/ha_mcp/settings_ui/CLAUDE.md, tests/AGENTS.md, tests/CLAUDE.md, tests/uat/AGENTS.md, tests/uat/CLAUDE.md
agent_instruction_max_bytes61,820

Verify loop (build / test / typecheck)

80Excellent
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — eslint.config.js, pyproject.toml ([tool.ruff])
11/11Static type checking — site/tsconfig.json, src/ha_mcp/_vendor/websockets/py.typed, src/ha_mcp/py.typed
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 17 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 10 of the last 100 commits are automated dependency updates
8/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configssite/tsconfig.json, src/ha_mcp/_vendor/websockets/py.typed, src/ha_mcp/py.typed
agent_commit_share0.17
toolchain_manifests—
dependency_bot_commit_share0.1

Code legibility for models

78Good
How it's scored
27/45Type-checkable code — Python with type-check config (site/tsconfig.json, src/ha_mcp/_vendor/websockets/py.typed, src/ha_mcp/py.typed)
50.6/55Manageable file sizes — 74/923 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes304,346
source_files_sampled923
oversized_source_files74

Machine-readable interfaces

33At Risk
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

4,534GitHub stars
61contributors
2,443commits, last 12 months
0days since last push
100releases
2bus factor
6open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 200 ⇿
0Stars
200Forks
57Releases

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.

0408012016020020042025-122026-042026-08
Major 3Minor 31Patch 23
OpenSSF Scorecard 5.8 / 10
5.8aggregate

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 · 2026-08-28 08:51 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests13 out of 13 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 7/30 approved changesets -- score normalized to 2
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 29 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
8Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
3SASTSAST tool is not run on all commits -- score normalized to 3
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
4Vulnerabilities6 existing vulnerabilities detected
Direct dependencies 12
RegistryPackageVersion constraintManifest
PyPIfastmcp==3.4.7pyproject.toml
PyPIhttpx==0.28.1pyproject.toml
PyPIpydantic==2.13.4pyproject.toml
PyPIpython-dotenv==1.2.3pyproject.toml
PyPItruststore==0.10.4pyproject.toml
PyPIcryptography>=48.0.0,<51pyproject.toml
PyPIpydantic-monty==0.0.18pyproject.toml
PyPItzdata>=2024.1pyproject.toml
PyPIpackaging>=24.0pyproject.toml
npm@astrojs/tailwind^6.0.2site/package.json
npmastro^7.1.0site/package.json
npmtailwindcss^3.4.18site/package.json
All dependencies 812

Full resolved dependency set from the GitHub dependency graph: 12 direct and 800 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
npm@astrojs/tailwind6.0.2direct
npmastro7.1.0direct
npmtailwindcss3.4.18direct
PyPIcryptography50.0.0direct
PyPIfastmcp3.4.7direct
PyPIhttpx0.28.1direct
PyPIpackaging26.3direct
PyPIpydantic2.13.4direct
PyPIpydantic-monty0.0.18direct
PyPIpython-dotenv1.2.3direct
PyPItruststore0.10.4direct
PyPItzdata2026.3direct
npm@alloc/quick-lru5.2.0indirect
npm@asamuzakjp/css-color3.2.0indirect
npm@astrojs/check0.9.9indirect
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npm@astrojs/compiler3.0.1indirect
npm@astrojs/compiler-binding0.3.1indirect
npm@astrojs/compiler-binding-darwin-arm640.3.1indirect
npm@astrojs/compiler-binding-darwin-x640.3.1indirect
npm@astrojs/compiler-binding-linux-arm64-gnu0.3.1indirect
npm@astrojs/compiler-binding-linux-arm64-musl0.3.1indirect
npm@astrojs/compiler-binding-linux-x64-gnu0.3.1indirect
npm@astrojs/compiler-binding-linux-x64-musl0.3.1indirect
npm@astrojs/compiler-binding-wasm32-wasi0.3.1indirect
npm@astrojs/compiler-binding-win32-arm64-msvc0.3.1indirect
npm@astrojs/compiler-binding-win32-x64-msvc0.3.1indirect
npm@astrojs/compiler-rs0.3.1indirect
npm@astrojs/internal-helpers0.10.1indirect
npm@astrojs/language-server2.16.10indirect
npm@astrojs/markdown-satteri0.3.4indirect
npm@astrojs/prism4.0.2indirect
npm@astrojs/telemetry3.3.3indirect
npm@astrojs/yaml2ts0.2.4indirect
npm@babel/helper-string-parser7.27.1indirect
npm@babel/helper-validator-identifier7.28.5indirect
npm@babel/parser7.29.2indirect
npm@babel/types7.29.0indirect
npm@bruits/satteri-darwin-arm640.9.5indirect
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npm@bruits/satteri-wasm32-wasi0.9.5indirect
npm@bruits/satteri-win32-arm64-msvc0.9.5indirect
npm@bruits/satteri-win32-x64-msvc0.9.5indirect
npm@capsizecss/unpack4.0.0indirect
npm@clack/core1.2.0indirect
npm@clack/prompts1.2.0indirect
npm@csstools/color-helpers5.1.0indirect
npm@csstools/css-calc2.1.4indirect
npm@csstools/css-color-parser3.1.0indirect
npm@csstools/css-parser-algorithms3.0.5indirect
npm@csstools/css-tokenizer3.0.4indirect
npm@emmetio/abbreviation2.3.3indirect
npm@emmetio/css-abbreviation2.1.8indirect
npm@emmetio/css-parser0.4.1indirect
npm@emmetio/html-matcher1.3.0indirect
npm@emmetio/scanner1.0.4indirect
npm@emmetio/stream-reader2.2.0indirect
npm@emmetio/stream-reader-utils0.1.0indirect
npm@emnapi/core1.11.1indirect
npm@emnapi/runtime1.11.1indirect
npm@emnapi/wasi-threads1.2.2indirect
npm@esbuild/aix-ppc640.28.1indirect
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npm@rolldown/binding-darwin-arm641.1.5indirect
npm@rolldown/binding-darwin-x641.1.5indirect
npm@rolldown/binding-freebsd-x641.1.5indirect
npm@rolldown/binding-linux-arm-gnueabihf1.1.5indirect
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npm@rolldown/binding-linux-arm64-musl1.1.5indirect
npm@rolldown/binding-linux-ppc64-gnu1.1.5indirect
npm@rolldown/binding-linux-s390x-gnu1.1.5indirect
npm@rolldown/binding-linux-x64-gnu1.1.5indirect
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npm@rolldown/binding-openharmony-arm641.1.5indirect
npm@rolldown/binding-wasm32-wasi1.1.5indirect
npm@rolldown/binding-win32-arm64-msvc1.1.5indirect
npm@rolldown/binding-win32-x64-msvc1.1.5indirect
npm@rolldown/pluginutils1.0.1indirect
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PyPIexecnet2.1.1indirect
PyPIfastmcp-slim3.4.7indirect
PyPIfrozenlist1.8.0indirect
PyPIgriffelib2.0.2indirect
PyPIh110.16.0indirect
PyPIha-mcp8.3.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpcore22.10.0indirect
PyPIhttpx-sse0.4.1indirect
PyPIhttpx22.10.0indirect
PyPIhttpx2-jsfetch1.0indirect
PyPIidna3.18indirect
PyPIimportlib-metadata8.7.0indirect
PyPIiniconfig2.1.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.3.0indirect
PyPIjeepney0.9.0indirect
PyPIjiter0.13.0indirect
PyPIjoserfc1.7.1indirect
PyPIjsonref1.1.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-path0.3.4indirect
PyPIjsonschema-specifications2025.4.1indirect
PyPIkeyring25.7.0indirect
PyPIlefthook2.1.10indirect
PyPIlibrt0.13.0indirect
PyPImacholib1.16.4indirect
PyPImarkdown-it-py4.0.0indirect
PyPImcp1.28.1indirect
PyPImdurl0.1.2indirect
PyPImore-itertools10.8.0indirect
PyPImultidict6.7.1indirect
PyPImypy2.3.1indirect
PyPImypy-extensions1.1.0indirect
PyPIopenai3.1.0indirect
PyPIopenapi-pydantic0.5.1indirect
PyPIopentelemetry-api1.39.1indirect
PyPIpathable0.4.4indirect
PyPIpathspec1.0.3indirect
PyPIpefile2024.8.26indirect
PyPIplatformdirs4.4.0indirect
PyPIpluggy1.6.0indirect
PyPIpropcache0.5.2indirect
PyPIpsutil7.2.2indirect
PyPIpy-key-value-aio0.4.4indirect
PyPIpycparser2.22indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-settings2.10.1indirect
PyPIpygments2.20.0indirect
PyPIpyinstaller6.22.1indirect
PyPIpyinstaller-hooks-contrib2026.6indirect
PyPIpyjwt2.13.0indirect
PyPIpynacl1.6.2indirect
PyPIpyperclip1.9.0indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-rerunfailures16.6indirect
PyPIpytest-timeout2.4.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-multipart0.0.31indirect
PyPIpywin32311indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.2indirect
PyPIreferencing0.36.2indirect
PyPIrequests2.34.2indirect
PyPIrich14.1.0indirect
PyPIrich-rst1.3.1indirect
PyPIrpds-py0.27.1indirect
PyPIruamel-yaml0.19.1indirect
PyPIruff0.16.3indirect
PyPIsecretstorage3.5.0indirect
PyPIsetuptools84.0.0indirect
PyPIsniffio1.3.1indirect
PyPIsocksio1.0.0indirect
PyPIsse-starlette3.0.2indirect
PyPIstarlette1.3.1indirect
PyPItestcontainers4.15.0indirect
PyPItqdm4.67.3indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPIuncalled-for0.2.0indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.35.0indirect
PyPIvoluptuous0.16.0indirect
PyPIvoluptuous-openapi0.4.1indirect
PyPIwatchfiles1.1.1indirect
PyPIwebsockets—indirect
PyPIwebsockets17.0.1indirect
PyPIwrapt1.17.3indirect
PyPIyarl1.24.5indirect
PyPIzipp3.23.0indirect
Dependency advisories 0

Installing pypi:ha-mcp@8.3.0 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.

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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, npm.