Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-28 01:00 UTC

awslabs / mcp

Open source MCP Servers for AWS

PythonApache-2.0★ 9,640 stars⑂ 1,732 forkssince Mar 2025View on GitHub ↗
KindMCP serverCommand-line toolLibraryNetwork serviceWeb interfacehow this is determined
#aws#mcp#mcp-client#mcp-clients#mcp-host#mcp-server#mcp-servers#mcp-tools#modelcontextprotocol

awslabs/mcp holds a health index of 99 out of 100, placing it in the Exceptional band. It scores highest on Vitality (100/100) and lowest on Security (71/100). It was last updated today. 5 contributors account for most of its recent work.

99
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.

99
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 89 is calibrated to 99 on the published index scale (record calibration 2026-08-02).

Ownership

Amazon Web Services - LabsOrganization · verified domain
11,484 followers1,029 public repossince Jan 2013

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIawslabs.aws-api-mcp-server1.5.3479,114940 days ago
PyPIawslabs.aws-iac-mcp-server1.0.24194,883241 day ago
PyPIawslabs.amazon-mq-mcp-server2.1.03,641291 day ago
PyPIawslabs.aurora-dsql-mcp-server1.1.045,970411 day ago
PyPIawslabs.aws-appsync-mcp-server0.2.01,698181 day ago
PyPIawslabs.aws-location-mcp-server2.1.01,961231 day ago
PyPIawslabs.amazon-qindex-mcp-server0.1.0738141 day ago
PyPIawslabs.amazon-neptune-mcp-server1.1.09,347231 day ago

Metrics by category

Vitality

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

100Exceptional · 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 — 1,094 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,094
human_commit_share0.56
days_since_last_push0
active_weeks_last_year52

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 ~5 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tag2026.08.20260827142639
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases5
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?

95Exceptional · 17% of overall

Popularity & adoption

96Exceptional
How it's scored
60/60Stars — 9,640 stars
25/25Forks — 1,732 forks
10.5/15Watchers — 77 watchers
Inputs used
forks1,732
stars9,640
watchers77
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges8
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

98Exceptional
How it's scored
78.2/80Monthly downloads — 737,352 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesawslabs.aws-api-mcp-server, awslabs.aws-iac-mcp-server, awslabs.amazon-mq-mcp-server, awslabs.aurora-dsql-mcp-server, awslabs.aws-appsync-mcp-server, awslabs.aws-location-mcp-server, awslabs.amazon-qindex-mcp-server, awslabs.amazon-neptune-mcp-server
dependents—
ecosystemspypi
total_downloads—
monthly_downloads737,352
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?

86Excellent · 23% of overall

Maintainer resilience (bus factor)

86Excellent
How it's scored
45.9/54Bus factor — 5 contributor(s) cover half of all commits
16.9/22.5Commit distribution — top contributor authored 25% of commits
13.5/13.5Contributor breadth — 99 contributors
10/10OpenSSF Scorecard: Contributors — project has 8 contributing companies or organizations
Inputs used
bus_factor5
contributors_sampled99
top_contributor_share0.248

Issue & PR responsiveness

61Moderate
How it's scored
31.1/42Issue resolution — 74% of issues closed
13.7/30PR acceptance — 1,714/3,741 decided PRs merged
1.1/13Newcomer PR acceptance — 1/12 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs1,714
open_issues176
closed_issues502
prs_merged_7d13
prs_decided_7d23
prs_merged_30d27
prs_decided_30d50
issue_closed_ratio0.74
closed_unmerged_prs2,027
first_time_authors_30d8
first_time_prs_merged_30d1
first_time_prs_decided_30d12

Ownership & stewardship

100Exceptional
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
25/25Owner reach — 11,484 followers of awslabs
25/25Track record — 1,029 public repos, account ~13 yr old
Inputs used
followers11,484
owner_typeOrganization
is_verifiedyes
owner_loginawslabs
public_repos1,029
account_age_days4,970

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 8 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 94 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesawslabs.aws-api-mcp-server, awslabs.aws-iac-mcp-server, awslabs.amazon-mq-mcp-server, awslabs.aurora-dsql-mcp-server, awslabs.aws-appsync-mcp-server, awslabs.aws-location-mcp-server, awslabs.amazon-qindex-mcp-server, awslabs.amazon-neptune-mcp-server
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 — 23 workflow(s)
24/24Tests present
16/16Linter config — .ruff.toml, ruff.toml, src/amazon-bedrock-agentcore-mcp-server/pyproject.toml ([tool.ruff]), src/amazon-kendra-index-mcp-server/pyproject.toml ([tool.ruff]), src/amazon-keyspaces-mcp-server/pyproject.toml ([tool.ruff]), src/amazon-mq-mcp-server/pyproject.toml ([tool.ruff]), src/amazon-neptune-mcp-server/pyproject.toml ([tool.ruff]), src/amazon-qbusiness-anonymous-mcp-server/pyproject.toml ([tool.ruff]), src/amazon-qindex-mcp-server/pyproject.toml ([tool.ruff]), src/amazon-sns-sqs-mcp-server/pyproject.toml ([tool.ruff]), src/amazon-translate-mcp-server/pyproject.toml ([tool.ruff]), src/aurora-dsql-mcp-server/pyproject.toml ([tool.ruff]), src/aws-api-mcp-server/pyproject.toml ([tool.ruff]), src/aws-appsync-mcp-server/pyproject.toml ([tool.ruff]), src/aws-bedrock-custom-model-import-mcp-server/pyproject.toml ([tool.ruff]), src/aws-dataprocessing-mcp-server/pyproject.toml ([tool.ruff]), src/aws-documentation-mcp-server/pyproject.toml ([tool.ruff]), src/aws-for-sap-management-mcp-server/pyproject.toml ([tool.ruff]), src/aws-healthomics-mcp-server/pyproject.toml ([tool.ruff]), src/aws-iac-mcp-server/pyproject.toml ([tool.ruff]), src/aws-iot-sitewise-mcp-server/pyproject.toml ([tool.ruff]), src/aws-location-mcp-server/pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 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://awslabs.github.io/mcp/
10/10Repository description
10/10Topics — 9 topics
0/10Wiki
Inputs used
topicsaws, mcp, mcp-client, mcp-clients, mcp-host, mcp-server, mcp-servers, mcp-tools, modelcontextprotocol
has_wikino
homepagehttps://awslabs.github.io/mcp/
docs_sitehttps://awslabs.github.io/mcp/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

71Good · 16% of overall

Security posture

85Excellent
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
7.5/7.5Branch-Protection — branch protection is fully enabled on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
1.2/2.5CII-Best-Practices — badge detected: Passing
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 8 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 2 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
4.5/5SAST — SAST tool detected but not run on all commits
5/5Security-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 — 102 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate8.5
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

15Critical
How it's scored
2.4/35Direct dependencies free of known advisories — 28 affected: lxml 5.4.0 (high 7.5), lxml 6.0.1 (high 7.5), lxml 6.0.2 (high 7.5), +25 more
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
9/40No advisories left outstanding — 20 advisory-carrying package(s) unaddressed past 90 days; oldest published 217 days ago
Inputs used
sourceosv
advisories277
affected_packages76
assessed_packages2,179
unassessed_packages4
affected_by_severitycritical 1, high 44, moderate 29, low 2
direct_affected_packages28
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 2179 resolved dependencies against OSV. 4 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

84Excellent · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — src/aurora-dsql-mcp-server/skills/dsql-skill/mcp/platforms/gemini.md, src/dynamodb-mcp-server/AGENTS.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docs.aws.amazon.com/llms.txt)
40/40Legible commit history — 54 of 56 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.aws.amazon.com/llms.txt
legible_history_share0.964
agent_instruction_filessrc/aurora-dsql-mcp-server/skills/dsql-skill/mcp/platforms/gemini.md, src/dynamodb-mcp-server/AGENTS.md
agent_instruction_max_bytes14,738

Verify loop (build / test / typecheck)

82Excellent
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — .ruff.toml, ruff.toml, src/amazon-bedrock-agentcore-mcp-server/pyproject.toml ([tool.ruff]), src/amazon-kendra-index-mcp-server/pyproject.toml ([tool.ruff]), src/amazon-keyspaces-mcp-server/pyproject.toml ([tool.ruff]), src/amazon-mq-mcp-server/pyproject.toml ([tool.ruff]), src/amazon-neptune-mcp-server/pyproject.toml ([tool.ruff]), src/amazon-qbusiness-anonymous-mcp-server/pyproject.toml ([tool.ruff]), src/amazon-qindex-mcp-server/pyproject.toml ([tool.ruff]), src/amazon-sns-sqs-mcp-server/pyproject.toml ([tool.ruff]), src/amazon-translate-mcp-server/pyproject.toml ([tool.ruff]), src/aurora-dsql-mcp-server/pyproject.toml ([tool.ruff]), src/aws-api-mcp-server/pyproject.toml ([tool.ruff]), src/aws-appsync-mcp-server/pyproject.toml ([tool.ruff]), src/aws-bedrock-custom-model-import-mcp-server/pyproject.toml ([tool.ruff]), src/aws-dataprocessing-mcp-server/pyproject.toml ([tool.ruff]), src/aws-documentation-mcp-server/pyproject.toml ([tool.ruff]), src/aws-for-sap-management-mcp-server/pyproject.toml ([tool.ruff]), src/aws-healthomics-mcp-server/pyproject.toml ([tool.ruff]), src/aws-iac-mcp-server/pyproject.toml ([tool.ruff]), src/aws-iot-sitewise-mcp-server/pyproject.toml ([tool.ruff]), src/aws-location-mcp-server/pyproject.toml ([tool.ruff])
11/11Static type checking — docusaurus/tsconfig.json, src/aws-api-mcp-server/awslabs/aws_api_mcp_server/core/common/py.typed, src/aws-api-mcp-server/awslabs/aws_api_mcp_server/core/py.typed, src/document-loader-mcp-server/awslabs/py.typed, src/ecs-mcp-server/pyrightconfig.json
10/10Reproducible environment — devcontainer, Dockerfile, lockfile
10/10Demonstrated agent practice — 10 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 44 of the last 100 commits are automated dependency updates
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontaineryes
has_linter_configyes
typecheck_configsdocusaurus/tsconfig.json, src/aws-api-mcp-server/awslabs/aws_api_mcp_server/core/common/py.typed, src/aws-api-mcp-server/awslabs/aws_api_mcp_server/core/py.typed, src/document-loader-mcp-server/awslabs/py.typed, src/ecs-mcp-server/pyrightconfig.json
agent_commit_share0.1
toolchain_manifests—
dependency_bot_commit_share0.44

Code legibility for models

80Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (docusaurus/tsconfig.json, src/aws-api-mcp-server/awslabs/aws_api_mcp_server/core/common/py.typed, src/aws-api-mcp-server/awslabs/aws_api_mcp_server/core/py.typed, src/document-loader-mcp-server/awslabs/py.typed, src/ecs-mcp-server/pyrightconfig.json)
53.2/55Manageable file sizes — 80/2,405 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes380,727
source_files_sampled2,405
oversized_source_files80

Machine-readable interfaces

60Moderate
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
40/40Runnable examples — example, examples, samples
Inputs used
example_dirsexample, examples, samples
has_mcp_signalyes
api_schema_files—
interfaces_expected_ofnetwork-service

Key facts

9,640GitHub stars
99contributors
1,094commits, last 12 months
0days since last push
100releases
5bus factor
176open issues
npmpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • First-time contributor figures cover 12 of 33 authors (cap 12)
  • deps.dev does not index pypi:awslabs.aws-api-mcp-server@1.5.3; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 1,732 ⇿
0Stars
1,732Forks
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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

5007501,0001,2501,5001,7501,732122025-082026-022026-08
Major 0Minor 0Patch 99
OpenSSF Scorecard 8.5 / 10
8.5aggregate

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 00:58 UTC

10Binary-Artifactsno binaries found in the repo
10Branch-Protectionbranch protection is fully enabled on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
5CII-Best-Practicesbadge detected: Passing
10Code-Reviewall changesets reviewed
10Contributorsproject has 8 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 2 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
9SASTSAST tool detected but not run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
0Vulnerabilities102 existing vulnerabilities detected
Direct dependencies 143
RegistryPackageVersion constraintManifest
npm@docusaurus/core^3.10.2docusaurus/package.json
npm@docusaurus/preset-classic^3.10.2docusaurus/package.json
npm@mdx-js/react^3.1.1docusaurus/package.json
npmclsx^2.0.0docusaurus/package.json
npmprism-react-renderer^2.3.0docusaurus/package.json
npmreact^19.2.4docusaurus/package.json
npmreact-dom^19.2.8docusaurus/package.json
npmunist-util-visit^5.1.0docusaurus/package.json
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PyPIpydantic>=2.10.6src/amazon-bedrock-agentcore-mcp-server/pyproject.toml
PyPIbedrock-agentcore>=1.1.0,<2.0.0src/amazon-bedrock-agentcore-mcp-server/pyproject.toml
PyPIplaywright>=1.40.0src/amazon-bedrock-agentcore-mcp-server/pyproject.toml
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PyPIpython-dotenv>=1.0.0src/amazon-keyspaces-mcp-server/pyproject.toml
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PyPIdefusedxml>=0.7.1src/amazon-translate-mcp-server/pyproject.toml
PyPIstarlette>=0.50.0src/amazon-translate-mcp-server/pyproject.toml
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All dependencies 2,183

Full resolved dependency set from the GitHub dependency graph: 210 direct and 1,973 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIpytest-cov6.1.1indirect
PyPIpytest-cov6.2.1indirect
PyPIpytest-cov7.0.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-mock3.14.0indirect
PyPIpytest-mock3.14.1indirect
PyPIpytest-mock3.15.0indirect
PyPIpytest-mock3.15.1indirect
PyPIpytest-timeout2.4.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.2.1indirect
PyPIpython-discovery1.2.2indirect
PyPIpython-discovery1.3.0indirect
PyPIpython-docx1.2.0indirect
PyPIpython-pptx1.0.2indirect
PyPIpytokens0.4.1indirect
PyPIpytz2025.2indirect
PyPIpywin32310indirect
PyPIpywin32311indirect
PyPIpywin32312indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIquestionary2.1.0indirect
PyPIquestionary2.1.1indirect
PyPIrapidfuzz3.13.0indirect
PyPIrdflib7.1.4indirect
PyPIreactivex4.0.4indirect
PyPIredis7.4.0indirect
PyPIreferencing0.36.2indirect
PyPIreferencing0.37.0indirect
PyPIregex2024.11.6indirect
PyPIregex2025.11.3indirect
PyPIregex2025.7.34indirect
PyPIreportlab4.4.3indirect
PyPIrepoze-lru0.7indirect
PyPIrequests-auth-aws-sigv40.7indirect
PyPIrequests-oauthlib2.0.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIresponses0.25.7indirect
PyPIresponses0.25.8indirect
PyPIresponses0.26.0indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrich13.5.3indirect
PyPIrich13.9.4indirect
PyPIrich14.0.0indirect
PyPIrich14.1.0indirect
PyPIrich14.2.0indirect
PyPIrich14.3.3indirect
PyPIrich15.0.0indirect
PyPIrich-argparse1.7.1indirect
PyPIrich-rst1.3.1indirect
PyPIrich-rst1.3.2indirect
PyPIrich-rst2.0.2indirect
PyPIrich-toolkit0.17.1indirect
PyPIrignore0.7.6indirect
PyPIroutes2.5.1indirect
PyPIrpds-py0.24.0indirect
PyPIrpds-py0.25.1indirect
PyPIrpds-py0.26.0indirect
PyPIrpds-py0.27.0indirect
PyPIrpds-py0.27.1indirect
PyPIrpds-py0.28.0indirect
PyPIrpds-py0.29.0indirect
PyPIrpds-py0.30.0indirect
PyPIrpds-py2026.6.3indirect
PyPIrsa4.7.2indirect
PyPIrsa4.9.1indirect
PyPIruamel-yaml-clib0.2.12indirect
PyPIruff0.11.10indirect
PyPIruff0.11.11indirect
PyPIruff0.11.12indirect
PyPIruff0.11.13indirect
PyPIruff0.11.2indirect
PyPIruff0.11.3indirect
PyPIruff0.11.4indirect
PyPIruff0.11.5indirect
PyPIruff0.11.6indirect
PyPIruff0.11.8indirect
PyPIruff0.11.9indirect
PyPIruff0.12.0indirect
PyPIruff0.12.1indirect
PyPIruff0.12.12indirect
PyPIruff0.12.2indirect
PyPIruff0.12.4indirect
PyPIruff0.12.5indirect
PyPIruff0.12.9indirect
PyPIruff0.13.0indirect
PyPIruff0.13.1indirect
PyPIruff0.14.2indirect
PyPIruff0.14.5indirect
PyPIruff0.14.9indirect
PyPIruff0.15.10indirect
PyPIruff0.15.11indirect
PyPIruff0.15.12indirect
PyPIruff0.15.20indirect
PyPIruff0.15.8indirect
PyPIruff0.15.9indirect
PyPIrustworkx0.16.0indirect
PyPIs3transfer0.10.4indirect
PyPIs3transfer0.11.4indirect
PyPIs3transfer0.12.0indirect
PyPIs3transfer0.13.0indirect
PyPIs3transfer0.13.1indirect
PyPIs3transfer0.14.0indirect
PyPIs3transfer0.15.0indirect
PyPIs3transfer0.16.0indirect
PyPIs3transfer0.16.1indirect
PyPIs3transfer0.17.0indirect
PyPIs3transfer0.18.0indirect
PyPIs3transfer0.19.0indirect
PyPIs3transfer0.19.2indirect
PyPIschema0.7.5indirect
PyPIschema-salad8.9.20250723145140indirect
PyPIscipy1.15.3indirect
PyPIscipy1.16.2indirect
PyPIsecretstorage3.4.0indirect
PyPIsecretstorage3.4.1indirect
PyPIsecretstorage3.5.0indirect
PyPIsemantic-version2.10.0indirect
PyPIsemgrep1.126.0indirect
PyPIsentry-sdk2.48.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsmmap5.0.2indirect
PyPIsniffio1.3.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsoupsieve2.6indirect
PyPIsoupsieve2.7indirect
PyPIsoupsieve2.8indirect
PyPIspdx-tools0.8.3indirect
PyPIspython0.3.14indirect
PyPIsqlalchemy2.0.40indirect
PyPIsqlglot29.0.1indirect
PyPIsqlglot30.11.0indirect
PyPIsqlparse0.6.0indirect
PyPIsse-starlette2.2.1indirect
PyPIsse-starlette2.3.4indirect
PyPIsse-starlette2.3.5indirect
PyPIsse-starlette2.3.6indirect
PyPIsse-starlette2.4.1indirect
PyPIsse-starlette3.0.2indirect
PyPIsse-starlette3.0.3indirect
PyPIsse-starlette3.0.4indirect
PyPIsse-starlette3.3.4indirect
PyPIsse-starlette3.4.2indirect
PyPIsse-starlette3.4.4indirect
PyPIsse-starlette3.4.5indirect
PyPIsse-starlette3.4.8indirect
PyPIstatsmodels0.14.5indirect
PyPIstevedore5.4.1indirect
PyPIstevedore5.5.0indirect
PyPIstevedore5.7.0indirect
PyPIstreamlit1.52.2indirect
PyPIstreamlit1.55.0indirect
PyPIstrictyaml1.7.3indirect
PyPIsympy1.14.0indirect
PyPItabulate0.9.0indirect
PyPItenacity9.1.2indirect
PyPItermcolor2.3.0indirect
PyPItermcolor2.5.0indirect
PyPItermcolor3.1.0indirect
PyPItermcolor3.2.0indirect
PyPItermcolor3.3.0indirect
PyPItestcontainers4.14.2indirect
PyPItoml0.10.2indirect
PyPItomli2.0.2indirect
PyPItomli2.2.1indirect
PyPItomli2.3.0indirect
PyPItomli2.4.1indirect
PyPItomlkit0.13.2indirect
PyPItomlkit0.13.3indirect
PyPItomlkit0.14.0indirect
PyPItomlkit0.15.0indirect
PyPItornado6.5.4indirect
PyPItqdm4.67.1indirect
PyPItruststore0.10.4indirect
PyPItyper0.15.2indirect
PyPItyper0.16.0indirect
PyPItyper0.17.3indirect
PyPItyper0.19.1indirect
PyPItyper0.20.0indirect
PyPItyper0.21.0indirect
PyPItyper0.24.1indirect
PyPItyper0.24.2indirect
PyPItyper0.25.0indirect
PyPItyper0.25.1indirect
PyPItypes-awscrt0.24.2indirect
PyPItypes-awscrt0.27.2indirect
PyPItypes-awscrt0.27.4indirect
PyPItypes-s3transfer0.11.4indirect
PyPItypes-s3transfer0.12.0indirect
PyPItypes-s3transfer0.13.0indirect
PyPItyping-extensions4.13.2indirect
PyPItyping-extensions4.14.0indirect
PyPItyping-extensions4.14.1indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspect0.9.0indirect
PyPItyping-inspection0.4.1indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2025.2indirect
PyPIuncalled-for0.2.0indirect
PyPIuncalled-for0.3.1indirect
PyPIuncalled-for0.3.2indirect
PyPIunidiff0.7.5indirect
PyPIuritools5.0.0indirect
PyPIuuid-utils0.12.0indirect
PyPIuv0.11.15indirect
PyPIuv0.11.7indirect
PyPIuv0.9.6indirect
PyPIuvicorn0.34.0indirect
PyPIuvicorn0.34.1indirect
PyPIuvicorn0.34.2indirect
PyPIuvicorn0.34.3indirect
PyPIuvicorn0.35.0indirect
PyPIuvicorn0.36.0indirect
PyPIuvicorn0.37.0indirect
PyPIuvicorn0.38.0indirect
PyPIuvicorn0.40.0indirect
PyPIuvicorn0.42.0indirect
PyPIuvicorn0.43.0indirect
PyPIuvicorn0.44.0indirect
PyPIuvicorn0.45.0indirect
PyPIuvicorn0.46.0indirect
PyPIuvicorn0.49.0indirect
PyPIuvloop0.21.0indirect
PyPIvalkey-glide2.3.1indirect
PyPIvirtualenv20.36.1indirect
PyPIvirtualenv21.2.0indirect
PyPIvirtualenv21.2.4indirect
PyPIvirtualenv21.3.0indirect
PyPIvirtualenv21.3.1indirect
PyPIvirtualenv21.3.2indirect
PyPIwatchdog6.0.0indirect
PyPIwatchfiles1.0.4indirect
PyPIwatchfiles1.0.5indirect
PyPIwatchfiles1.1.1indirect
PyPIwatchfiles1.2.0indirect
PyPIwcmatch8.5.2indirect
PyPIwcwidth0.2.13indirect
PyPIwcwidth0.2.14indirect
PyPIwcwidth0.6.0indirect
PyPIwcwidth0.7.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwebsockets15.0.1indirect
PyPIwebsockets16.0indirect
PyPIwerkzeug3.1.5indirect
PyPIwerkzeug3.1.8indirect
PyPIwin32-setctime1.2.0indirect
PyPIwrapt1.17.2indirect
PyPIwrapt1.17.3indirect
PyPIwrapt2.0.1indirect
PyPIwrapt2.1.2indirect
PyPIxdg6.0.0indirect
PyPIxlsxwriter3.2.5indirect
PyPIxmltodict0.14.2indirect
PyPIxmltodict1.0.2indirect
PyPIxmltodict1.0.4indirect
PyPIyarl1.18.3indirect
PyPIyarl1.20.1indirect
PyPIzipp3.23.0indirect
PyPIzipp3.23.1indirect
PyPIzipp4.1.0indirect
PyPIzipstream-new1.1.8indirect
PyPIzope-event5.0indirect
PyPIzope-interface7.2indirect
PyPIzstandard0.23.0indirect
PyPIzstandard0.24.0indirect
Dependency advisories 76

This repository publishes no package the index resolves, so its own dependency graph was assessed — 2,179 packages, which also include development and test pins that never ship: 76 carry known advisories, of which 28 are direct. 4 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
asyncmy0.2.11indirectcritical2—
lxml5.4.0directhigh26.1.0
lxml6.0.1directhigh26.1.0
lxml6.0.2directhigh26.1.0
mcp1.26.0directhigh61.28.1
python-multipart0.0.22directhigh120.0.31
python-multipart0.0.26directhigh100.0.31
python-multipart0.0.27directhigh80.0.31
python-multipart0.0.28directhigh80.0.31
python-multipart0.0.29directhigh80.0.31
starlette0.50.0directhigh101.3.1
starlette1.0.0directhigh101.3.1
starlette1.2.0directhigh41.3.1
starlette1.2.1directhigh41.3.1
urllib32.6.3directhigh42.7.0
awslabs-aws-api-mcp-server1.3.24indirecthigh21.3.47
click8.1.8indirecthigh18.3.3
click8.2.0indirecthigh18.3.3
click8.2.1indirecthigh18.3.3
click8.3.0indirecthigh18.3.3
click8.3.1indirecthigh18.3.3
click8.3.2indirecthigh18.3.3
gitpython3.1.54indirecthigh103.1.58
image-size2.0.2indirecthigh2—
joserfc1.6.4indirecthigh41.6.8
joserfc1.6.5indirecthigh41.6.8
langchain0.3.27indirecthigh41.4.6
langchain-core0.3.81indirecthigh81.3.3
langchain-core1.2.5indirecthigh81.3.3
langsmith0.5.1indirecthigh71.0.7
mistune3.0.2indirecthigh303.3.0
msgpack1.1.1indirecthigh21.2.1
nanoid3.3.17indirecthigh15.1.6
orjson3.11.5indirecthigh13.11.6
path-to-regexp0.1.12indirecthigh10.1.13
picomatch2.3.1indirecthigh24.0.4
protobuf4.25.8indirecthigh26.33.5
pyarrow19.0.1indirecthigh223.0.1
pyarrow22.0.0indirecthigh223.0.1
serialize-javascript6.0.2indirecthigh27.0.5
soupsieve2.6indirecthigh42.8.4
soupsieve2.7indirecthigh42.8.4
soupsieve2.8indirecthigh42.8.4
tornado6.5.4indirecthigh126.5.7
uuid8.3.2indirecthigh113.0.1
authlib1.7.0directmoderate21.7.1
awscli1.44.67directmoderate41.45.28
pytest8.3.5directmoderate29.0.3
pytest8.4.0directmoderate29.0.3
pytest8.4.1directmoderate29.0.3
pytest8.4.2directmoderate29.0.3
pytest9.0.1directmoderate29.0.3
pytest9.0.2directmoderate29.0.3
python-dotenv1.1.0directmoderate21.2.2
python-dotenv1.1.1directmoderate21.2.2
python-dotenv1.2.1directmoderate21.2.2
requests2.32.4directmoderate22.33.0
requests2.32.5directmoderate22.33.0
setuptools80.9.0directmoderate283.0.0
ajv8.17.1indirectmoderate18.18.0
asteval1.0.6indirectmoderate21.0.9
bleach6.2.0indirectmoderate26.4.0
http-proxy-middleware2.0.9indirectmoderate14.1.0
idna3.10indirectmoderate23.15
idna3.11indirectmoderate23.15
idna3.14indirectmoderate23.15
joi17.13.3indirectmoderate118.2.1
langchain-text-splitters0.3.11indirectmoderate21.1.2
pydantic-settings2.12.0indirectmoderate12.14.2
pydantic-settings2.14.1indirectmoderate12.14.2
streamlit1.52.2indirectmoderate41.54.0
uv0.11.7indirectmoderate10.11.15
uv0.9.6indirectmoderate20.11.15
werkzeug3.1.5indirectmoderate23.1.6
pygments2.19.1indirectlow22.20.0
pygments2.19.2indirectlow22.20.0

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.