Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-18 08:46 UTC

n24q02m / wet

Open-source MCP server for AI agents: web search, content extraction, and library docs -- 5-strategy scraping, runs without API keys.

PythonApache-2.0★ 17 stars⑂ 5 forkssince Feb 2026View on GitHub ↗
KindCommand-line toolMCP serverhow this is determined
#crawl4ai#mcp#mcp-server#model-context-protocol#open-source#python#searxng#docker#web-scraping#web-search#ai-agents#ai-coding#claude#claude-code#cursor

n24q02m/wet holds a health index of 87 out of 100, placing it in the Excellent band. It scores highest on Vitality (92/100) and lowest on Sustainability & Governance (53/100). It was last updated today. A single contributor accounts for most of its recent work.

87
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.

87
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 73 is calibrated to 87 on the published index scale (record calibration 2026-08-02).

Ownership

Nguyen Quang MinhPersonal account
38 followers46 public repossince Jun 2023

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
PyPIwet-mcp3.14.9-2570 days agoantigravityclaudecodexcopilotcrawl4aicursorlibrary-docsmcpmcp-servermodel-context-protocolopencodesearxngweb-scraping

Metrics by category

Vitality

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

92Excellent · 21% of overall

Development activity

87Excellent
How it's scored
36/36Push recency — last push 0 days ago
22.8/36Commit cadence — 33/52 weeks with commits
18/18Commit volume — 1,337 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,337
human_commit_share0.75
days_since_last_push0
active_weeks_last_year33

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 ~0.5 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv3.14.9
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases0.5
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?

56Moderate · 17% of overall

Popularity & adoption

24At Risk
How it's scored
19.5/60Stars — 17 stars
5/25Forks — 5 forks
0/15Watchers — 0 watchers
Inputs used
forks5
stars17
watchers0
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_badges10
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicescodecov.io, github.com, shields.io
has_pull_request_templateyes

Sustainability & Governance

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

53Moderate · 23% of overall

Maintainer resilience (bus factor)

16Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.3/22.5Commit distribution — top contributor authored 99% of commits
4.1/13.5Contributor breadth — 3 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled3
top_contributor_share0.987

Issue & PR responsiveness

62Moderate
How it's scored
41.7/42Issue resolution — 99% of issues closed
11.9/30PR acceptance — 651/1,639 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/25 approved changesets -- score normalized to 0
Inputs used
merged_prs651
open_issues1
closed_issues146
prs_merged_7d9
prs_decided_7d10
prs_merged_30d30
prs_decided_30d38
issue_closed_ratio0.993
closed_unmerged_prs988
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

50Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
11.4/25Owner reach — 38 followers of n24q02m
18.7/25Track record — 46 public repos, account ~3 yr old
Inputs used
followers38
owner_typeUser
is_verified—
owner_loginn24q02m
public_repos46
account_age_days1,200
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 0 days ago
20/20Version history — 257 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageswet-mcp
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 — 2 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
14/20OpenSSF Scorecard: CI-Tests — 7 out of 9 merged PRs checked by a CI test -- score normalized to 7
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://mcp.n24q02m.com/servers/wet-mcp/
10/10Repository description
10/10Topics — 15 topics
0/10Wiki
Inputs used
topicscrawl4ai, mcp, mcp-server, model-context-protocol, open-source, python, searxng, docker, web-scraping, web-search, ai-agents, ai-coding, claude, claude-code, cursor
has_wikino
homepagehttps://mcp.n24q02m.com/servers/wet-mcp/
docs_sitehttps://mcp.n24q02m.com/servers/wet-mcp/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

70Good · 16% of overall

Security posture

66Good
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
1.8/2.5CI-Tests — 7 out of 9 merged PRs checked by a CI test -- score normalized to 7
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/25 approved changesets -- score normalized to 0
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 18 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
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
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
5.2/7.5Vulnerabilities — 3 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.6
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

85Excellent
How it's scored
26.6/35Direct dependencies free of known advisories — 1 affected: diskcache 5.6.3 (moderate)
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
37.2/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 218 days ago
Inputs used
sourceosv
advisories3
affected_packages2
assessed_packages238
unassessed_packages5
affected_by_severityhigh 1, moderate 1
direct_affected_packages1
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 238 resolved dependencies against OSV. 5 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.

87Excellent · 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 served by the project website (https://mcp.n24q02m.com/llms.txt)
40/40Legible commit history — 75 of 75 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://mcp.n24q02m.com/llms.txt
legible_history_share1
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes12,238

Verify loop (build / test / typecheck)

100Exceptional
How it's scored
18/18One-command bootstrap — .mise.toml
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — tsconfig.json
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 9 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 25 of the last 100 commits are automated dependency updates
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_files.mise.toml
has_devcontainerno
has_linter_configyes
typecheck_configstsconfig.json
agent_commit_share0.09
toolchain_manifeststests/fixtures/projects/go_mod/go.mod, tests/fixtures/projects/rust_cargo/Cargo.toml
dependency_bot_commit_share0.25

Code legibility for models

79Good
How it's scored
27/45Type-checkable code — Python with type-check config (tsconfig.json)
52.3/55Manageable file sizes — 11/225 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes190,209
source_files_sampled225
oversized_source_files11

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

17GitHub stars
3contributors
1,337commits, last 12 months
0days since last push
100releases
1bus factor
1open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'wet-mcp' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • deps.dev does not index pypi:wet-mcp@3.14.9; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 5 ⇿
0Stars
5Forks
85Releases

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.

12345512026-032026-062026-09
Major 0Minor 11Patch 10
OpenSSF Scorecard 6.6 / 10
6.6aggregate

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 08:46 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
7CI-Tests7 out of 9 merged PRs checked by a CI test -- score normalized to 7
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/25 approved changesets -- score normalized to 0
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 18 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not 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
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7Vulnerabilities3 existing vulnerabilities detected
Direct dependencies 25
RegistryPackageVersion constraintManifest
PyPIn24q02m-web-core>=2.5.1,<3pyproject.toml
PyPImcp>=1.29.1,<2pyproject.toml
PyPIhttpx—pyproject.toml
PyPIpydantic>=2.13.4,<2.14pyproject.toml
PyPIpydantic-settings—pyproject.toml
PyPIloguru—pyproject.toml
PyPIhttpx>=0.28.1pyproject.toml
PyPIsqlite-vec—pyproject.toml
PyPIfastretrieval>=1.1.0,<2pyproject.toml
PyPIpillow>=12.3.0pyproject.toml
PyPIdiskcache>=5.6.3pyproject.toml
PyPIcryptography>=50.0.0pyproject.toml
PyPImarkitdown—pyproject.toml
PyPIjsonschema>=4.26.0pyproject.toml
PyPIaiolimiter>=1.2.1pyproject.toml
PyPIn24q02m-mcp-core==1.24.6pyproject.toml
PyPIalembic>=1.18.5pyproject.toml
PyPIfastmcp>=3.4.7,<5pyproject.toml
PyPIgoogle-api-python-client>=2.198.0pyproject.toml
PyPIgoogle-auth>=2.56.2pyproject.toml
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PyPIgreenlet<3.5.6pyproject.toml
PyPIurllib3>=2.7.0pyproject.toml
PyPIlangsmith>=0.10.10pyproject.toml
All dependencies 243

Full resolved dependency set from the GitHub dependency graph: 24 direct and 219 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIn24q02m-mcp-core1.24.6direct
PyPIn24q02m-web-core2.7.6direct
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PyPIsyrupy6.1.1indirect
PyPItenacity9.1.4indirect
PyPItiktoken0.14.0indirect
PyPItokenizers0.23.2indirect
PyPItomli-w1.2.0indirect
PyPItqdm4.70.1indirect
PyPItrimesh5.1.0indirect
PyPItruststore0.10.4indirect
PyPIty0.0.81indirect
PyPItyper0.27.2indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPItzdata2026.4indirect
PyPIuncalled-for0.4.0indirect
PyPIunclecode-litellm1.81.13indirect
PyPIuritemplate4.2.0indirect
PyPIuuid-utils0.17.1indirect
PyPIuvicorn0.53.0indirect
PyPIvirtualenv21.7.10indirect
PyPIwatchfiles1.2.0indirect
PyPIwebsockets16.1.1indirect
PyPIwerkzeug3.1.8indirect
PyPIwet-mcp3.14.8indirect
PyPIwin32-setctime1.2.0indirect
PyPIxlsxwriter3.2.9indirect
PyPIxmltodict1.0.4indirect
PyPIxxhash3.8.1indirect
PyPIyarl1.25.1indirect
PyPIzipp4.1.0indirect
PyPIzstandard0.25.0indirect
Dependency advisories 2

This repository publishes no package the index resolves, so its own dependency graph was assessed — 238 packages, which also include development and test pins that never ship: 2 carry known advisories, of which 1 are direct. 5 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
nltk3.10.3indirecthigh1—
diskcache5.6.3directmoderate2—

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.