Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 21:02 UTC

aws / mcp-proxy-for-aws

AWS MCP Proxy Server

PythonApache-2.0★ 346 stars⑂ 56 forkssince Sep 2025View on GitHub ↗
KindCommand-line toolMCP serverLibraryhow this is determined
#aws#mcp#proxy#sigv4

aws/mcp-proxy-for-aws holds a health index of 97 out of 100, placing it in the Exceptional band. It scores highest on Vitality (96/100) and lowest on AI Readiness (63/100). It was last updated 2 days ago. 3 contributors account for most of its recent work.

97
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.

97
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 85 is calibrated to 97 on the published index scale (record calibration 2026-08-02).

Ownership

Amazon Web ServicesOrganization · verified domain
16,560 followers552 public repossince Aug 2012

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPImcp-proxy-for-aws1.6.41,527,0842038 days ago

Metrics by category

Vitality

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

96Exceptional · 21% of overall

Development activity

93Exceptional
How it's scored
36/36Push recency — last push 2 days ago
29.1/36Commit cadence — 42/52 weeks with commits
18/18Commit volume — 285 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year285
human_commit_share0.37
days_since_last_push2
active_weeks_last_year42

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 18 releases published
36/36Release recency — latest release 38 days ago
27/27Release cadence — a release every ~11.2 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count18
latest_release_tagv1.6.4
releases_from_tagsno
days_since_latest_release38
mean_days_between_releases11.2
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?

81Excellent · 17% of overall

Popularity & adoption

60Moderate
How it's scored
41.2/60Stars — 346 stars
14.5/25Forks — 56 forks
4.3/15Watchers — 7 watchers
Inputs used
forks56
stars346
watchers7
growth_stateorganic
growth_factor_pct100

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_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateyes

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 1,527,084 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesmcp-proxy-for-aws
dependents—
ecosystemspypi
total_downloads—
monthly_downloads1,527,084
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)

71Good
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
18.2/22.5Commit distribution — top contributor authored 19% of commits
13.5/13.5Contributor breadth — 21 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor3
contributors_sampled21
top_contributor_share0.189

Issue & PR responsiveness

80Excellent
How it's scored
33.1/42Issue resolution — 79% of issues closed
23.7/30PR acceptance — 282/357 decided PRs merged
8.7/13Newcomer PR acceptance — 2/3 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs282
open_issues7
closed_issues26
prs_merged_7d2
prs_decided_7d3
prs_merged_30d6
prs_decided_30d7
issue_closed_ratio0.788
closed_unmerged_prs75
first_time_authors_30d2
first_time_prs_merged_30d2
first_time_prs_decided_30d3

Ownership & stewardship

100Exceptional
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
25/25Owner reach — 16,560 followers of aws
25/25Track record — 552 public repos, account ~14 yr old
Inputs used
followers16,560
owner_typeOrganization
is_verifiedyes
owner_loginaws
public_repos552
account_age_days5,112

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 38 days ago
20/20Version history — 20 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesmcp-proxy-for-aws
ecosystemspypi
any_deprecatedno
min_days_since_publish38

Engineering Quality

Are baseline engineering and documentation practices in place?

82Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 10 workflow(s)
24/24Tests present
16/16Linter config — 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

65Good
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://github.com/aws/aws-mcp-proxy/blob/main/README.md
10/10Repository description
10/10Topics — 4 topics
0/10Wiki
Inputs used
topicsaws, mcp, proxy, sigv4
has_wikino
homepage—
docs_sitehttps://github.com/aws/aws-mcp-proxy/blob/main/README.md
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

84Excellent · 16% of overall

Security posture

80Excellent
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
6/7.5Branch-Protection — branch protection is not maximal 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
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
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 1 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
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate8
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

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_packages76
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:mcp-proxy-for-aws@1.6.4 runtime dependency closure — what installing the published package pulls in — 76 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.

63Moderate · 4% of overall

Agent context & guidance

55Moderate
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docs.aws.amazon.com/llms.txt)
40/40Legible commit history — 36 of 37 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_share0.973
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

59Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 63 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
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.63

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/49 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes41,177
source_files_sampled49
oversized_source_files0

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

346GitHub stars
21contributors
285commits, last 12 months
2days since last push
18releases
3bus factor
7open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-07-21: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 346 stars today.

More detail

Star and fork history 327 ★ / 56 ⇿
327Stars
56Forks
18Releases

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.

Star history is shown as collected on 2026-07-21. GitHub restricted the stargazers API to repository administrators in July 2026, so this series can no longer be extended; the current star total above remains live.

012525037532756342025-092026-032026-08
Major 0Minor 6Patch 12
OpenSSF Scorecard 8.0 / 10
8.0aggregate

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 · 2026-08-27 21:01 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
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 1 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
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPIfastmcp>=3.2,<3.5pyproject.toml
PyPIboto3>=1.41.0pyproject.toml
PyPIbotocore>=1.41.0pyproject.toml
All dependencies 344

Full resolved dependency set from the GitHub dependency graph: 5 direct and 339 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIboto31.43.78direct
PyPIbotocore—direct
PyPIbotocore1.43.79direct
PyPIfastmcp—direct
PyPIfastmcp3.4.7direct
PyPIa2a-sdk0.3.21indirect
PyPIag-ui-protocol0.1.10indirect
PyPIagent-framework—indirect
PyPIagent-framework1.15.0indirect
PyPIagent-framework-a2a1.0.0b251211indirect
PyPIagent-framework-ag-ui1.0.0b251211indirect
PyPIagent-framework-anthropic1.0.0b251211indirect
PyPIagent-framework-azure-ai-search1.0.0b251211indirect
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PyPIagent-framework-declarative1.0.0b251211indirect
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PyPImcp-client-example-strands-agents0.1.0indirect
PyPImcp-proxy-for-aws—indirect
PyPImcp-proxy-for-aws1.6.4indirect
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PyPIopentelemetry-instrumentation0.64b0indirect
PyPIopentelemetry-instrumentation-asgi0.64b0indirect
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PyPIopentelemetry-instrumentation-fastapi0.64b0indirect
PyPIopentelemetry-instrumentation-flask0.64b0indirect
PyPIopentelemetry-instrumentation-httpx0.64b0indirect
PyPIopentelemetry-instrumentation-logging0.64b0indirect
PyPIopentelemetry-instrumentation-openai-agents-v20.1.0indirect
PyPIopentelemetry-instrumentation-openai-v22.3b0indirect
PyPIopentelemetry-instrumentation-psycopg20.64b0indirect
PyPIopentelemetry-instrumentation-requests0.64b0indirect
PyPIopentelemetry-instrumentation-threading0.64b0indirect
PyPIopentelemetry-instrumentation-urllib0.64b0indirect
PyPIopentelemetry-instrumentation-urllib30.64b0indirect
PyPIopentelemetry-instrumentation-wsgi0.64b0indirect
PyPIopentelemetry-proto1.43.0indirect
PyPIopentelemetry-resource-detector-azure0.1.5indirect
PyPIopentelemetry-sdk1.43.0indirect
PyPIopentelemetry-semantic-conventions0.64b0indirect
PyPIopentelemetry-util-genai0.3b0indirect
PyPIopentelemetry-util-http0.64b0indirect
PyPIorderedmultidict1.0.2indirect
PyPIorjson3.11.6indirect
PyPIormsgpack1.12.1indirect
PyPIpackaging26.1indirect
PyPIpathable0.6.0indirect
PyPIpathspec1.1.1indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.5.1indirect
PyPIpluggy1.6.0indirect
PyPIply3.11indirect
PyPIportalocker3.2.0indirect
PyPIposthog7.0.1indirect
PyPIpowerfx0.0.33indirect
PyPIpre-commit4.6.2indirect
PyPIpriority2.0.0indirect
PyPIprompt-toolkit3.0.51indirect
PyPIpropcache0.4.1indirect
PyPIproto-plus1.26.1indirect
PyPIprotobuf5.29.6indirect
PyPIpsutil7.2.2indirect
PyPIpy-key-value-aio0.4.4indirect
PyPIpyasn10.6.4indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser2.23indirect
PyPIpydantic2.12.5indirect
PyPIpydantic-core2.41.5indirect
PyPIpydantic-monty0.0.19b6indirect
PyPIpydantic-monty-runtime0.0.19b6indirect
PyPIpydantic-settings2.14.2indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpyperclip1.11.0indirect
PyPIpyright1.1.411indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-mock3.15.1indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv—indirect
PyPIpython-dotenv1.2.3indirect
PyPIpython-multipart0.0.31indirect
PyPIpython-ulid3.1.0indirect
PyPIpythonnet3.0.5indirect
PyPIpytz2025.2indirect
PyPIpywin32311indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIqdrant-client1.16.2indirect
PyPIquestionary2.1.1indirect
PyPIredis6.4.0indirect
PyPIredisvl0.12.1indirect
PyPIreferencing0.36.2indirect
PyPIregex2025.11.3indirect
PyPIrequests2.33.0indirect
PyPIrequests-oauthlib2.0.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrich14.2.0indirect
PyPIrich-rst2.1.0indirect
PyPIrpds-py0.30.0indirect
PyPIruff0.16.4indirect
PyPIs3transfer0.19.0indirect
PyPIsecretstorage3.5.0indirect
PyPIsetuptools83.0.0indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsqlalchemy2.0.45indirect
PyPIsse-starlette3.0.4indirect
PyPIstarlette1.3.1indirect
PyPIstrands-agents—indirect
PyPIstrands-agents1.53.0indirect
PyPItaskgroup0.2.2indirect
PyPItenacity9.1.2indirect
PyPItermcolor3.2.0indirect
PyPItiktoken0.12.0indirect
PyPItinytag2.2.1indirect
PyPItomli2.3.0indirect
PyPItomlkit0.13.3indirect
PyPItqdm4.67.1indirect
PyPItrove-classifiers2026.6.1.19indirect
PyPItypes-requests2.32.4.20250913indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspect0.9.0indirect
PyPItyping-inspection0.4.2indirect
PyPIuncalled-for0.2.0indirect
PyPIurllib32.7.0indirect
PyPIuuid-utils0.12.0indirect
PyPIuvicorn0.38.0indirect
PyPIuvloop0.22.1indirect
PyPIvirtualenv20.36.1indirect
PyPIwatchdog6.0.0indirect
PyPIwatchfiles1.1.1indirect
PyPIwcwidth0.2.14indirect
PyPIwebsockets15.0.1indirect
PyPIwerkzeug3.1.6indirect
PyPIwrapt1.17.3indirect
PyPIwsproto1.3.2indirect
PyPIxxhash3.6.0indirect
PyPIyarl1.22.0indirect
PyPIzipp3.23.0indirect
PyPIzstandard0.25.0indirect
Dependency advisories 0

Installing pypi:mcp-proxy-for-aws@1.6.4 pulls in 76 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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99IBM/mcp-context-forgeAn AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.Exceptional99awslabs/mcpOpen source MCP Servers for AWSExceptional98aws-powertools/powertools-lambda-typescriptPowertools for AWS is a developer toolkit to implement Serverless best practices and increase developer velocity.Exceptional94headroomlabs-ai/headroomCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.Exceptional94agno-agi/agnoBuild, run, and manage agent platforms.Exceptional94diegosouzapw/OmniRouteNever stop coding. Free MIT AI gateway: one endpoint, 290+ providers (90+ free), 500+ models — Kimi, Claude, GPT, OpenAI, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, Desktop/PWA. Built by 500+ contributorsExceptional

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.