Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-29 04:01 UTC

adcontextprotocol / adcp-client-python

A python library to interact with adcp servers

PythonCustom license★ 1 star⑂ 5 forkssince Nov 2025View on GitHub ↗
KindLibraryCommand-line toolMCP serverhow this is determined

adcontextprotocol/adcp-client-python holds a health index of 87 out of 100, placing it in the Excellent band. It scores highest on Vitality (94/100) and lowest on Community & Adoption (43/100). 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

77 followers10 public repossince Jul 2025

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIadcp7.0.227,31810612 days agoadcpmcpa2aprotocoladvertising

Metrics by category

Vitality

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

94Exceptional · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
26.3/36Commit cadence38/52 weeks with commits
18/18Commit volume914 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year914
human_commit_share0.77
days_since_last_push0
active_weeks_last_year38

Release discipline

100Exceptional
How it's scored
27/27Ships releases100 releases published
36/36Release recencylatest release 0 days ago
27/27Release cadencea release every ~1.3 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count100
latest_release_tagv8.0.0-beta.10
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases1.3
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?

43Weak · 17% of overall
How it's scored
0/60Stars1 stars
5/25Forks5 forks
0/15Watchers0 watchers
Inputs used
forks5
stars1
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5Licenselicense file present, not a recognized license
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges3
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesbadge.fury.io, shields.io
has_pull_request_templateno
How it's scored
59.2/80Monthly downloads27,318 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesadcp
dependents
ecosystemspypi
total_downloads
monthly_downloads27,318
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?

65Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
1.7/22.5Commit distributiontop contributor authored 92% of commits
8.1/13.5Contributor breadth6 contributors
10/10OpenSSF Scorecard: Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled6
top_contributor_share0.925
How it's scored
42/42Issue resolution100% of issues closed
26.7/30PR acceptance669/751 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
12/15OpenSSF Scorecard: Code-ReviewFound 21/24 approved changesets -- score normalized to 8
Inputs used
merged_prs669
open_issues0
closed_issues346
prs_merged_7d20
prs_decided_7d20
prs_merged_30d42
prs_decided_30d45
issue_closed_ratio1
closed_unmerged_prs82
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.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domain
13.6/25Owner reach77 followers of adcontextprotocol
9.8/25Track record10 public repos, account ~1 yr old
Inputs used
followers77
owner_typeOrganization
is_verifiedno
owner_loginadcontextprotocol
public_repos10
account_age_days405

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 12 days ago
20/20Version history106 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesadcp
ecosystemspypi
any_deprecatedno
min_days_since_publish12

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall
How it's scored
24/24CI workflows12 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.ruff], [tool.black])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests29 out of 29 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 sitehttps://docs.adcontextprotocol.org
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics
has_wikiyes
homepage
docs_sitehttps://docs.adcontextprotocol.org
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

59Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
3.8/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests29 out of 29 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6/7.5Code-ReviewFound 21/24 approved changesets -- score normalized to 8
2.5/2.5Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
0/10Dangerous-Workflowdangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.2/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
0/5Packagingno data
1/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
5/5SASTSAST tool is run on all commits
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.9
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages51
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:adcp@7.0.2 runtime dependency closure — what installing the published package pulls in — 51 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.

91Excellent · 4% of overall
How it's scored
45/45Agent instructionsAGENTS.md, CLAUDE.md
15/15Machine-readable docs (llms.txt)llms.txt present
40/40Legible commit history77 of 77 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_url
legible_history_share1
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes12,925
How it's scored
18/18One-command bootstrapMakefile
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff], [tool.black])
11/11Static type checkingsrc/adcp/py.typed
10/10Reproducible environmentDockerfile
10/10Demonstrated agent practice7 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenanceno automated dependency updates observed
2/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configssrc/adcp/py.typed
agent_commit_share0.07
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codePython with type-check config (src/adcp/py.typed)
53.6/55Manageable file sizes42/1,677 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes384,040
source_files_sampled1,677
oversized_source_files42
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
20/20MCP server
40/40Runnable examplesexamples
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

1GitHub stars
6contributors
914commits, last 12 months
0days since last push
100releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

More detail

Star and fork history 0 ★ / 5 ⇿
0Stars
5Forks
75Releases

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.

12345512025-112026-032026-06
Major 4Minor 48Patch 11
OpenSSF Scorecard 4.9 / 10
4.9aggregate

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 · 2026-08-29 03:59 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests29 out of 29 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
8Code-ReviewFound 21/24 approved changesets -- score normalized to 8
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
0Dangerous-Workflowdangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
2Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 14
RegistryPackageVersion constraintManifest
PyPIhttpx>=0.24.0pyproject.toml
PyPIhttpcore>=1.0,<2.0pyproject.toml
PyPIpydantic>=2.0.0,<3pyproject.toml
PyPItyping-extensions>=4.5.0pyproject.toml
PyPIa2a-sdk>=1.0.1,<1.0.2pyproject.toml
PyPIprotobuf>=6,<8pyproject.toml
PyPIsse-starlette>=2.0pyproject.toml
PyPImcp>=2.0.0,<3.0pyproject.toml
PyPIemail-validator>=2.0.0pyproject.toml
PyPIcryptography>=41.0.0pyproject.toml
PyPIrfc8785>=0.1.4pyproject.toml
PyPIjsonschema>=4.0.0pyproject.toml
PyPItldextract>=5.1.0pyproject.toml
PyPIidna>=3.7,<4pyproject.toml
All dependencies not collected

The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Dependency advisories 0

Installing pypi:adcp@7.0.2 pulls in 51 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

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 statisticsPyPI.