Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-20 22:52 UTC

adcontextprotocol / adcp-client-python

A python library to interact with adcp servers

PythonCustom license★ 3 stars⑂ 6 forkssince Nov 2025View on GitHub ↗
KindLibraryCommand-line toolMCP serverhow this is determined

adcontextprotocol/adcp-client-python holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Vitality (96/100) and lowest on Community & Adoption (45/100). It was last updated today. A single contributor accounts for most of its recent work.

88
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.

88
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 74 is calibrated to 88 on the published index scale (record calibration 2026-08-02).

Ownership

Ad Context ProtocolOrganization
83 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
PyPIadcp8.1.326,9391255 days agoadcpmcpa2aprotocoladvertising

Metrics by category

Vitality

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

96Exceptional · 21% of overall

Development activity

94Exceptional
How it's scored
36/36Push recency — last push 0 days ago
29.8/36Commit cadence — 43/52 weeks with commits
18/18Commit volume — 1,298 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,298
human_commit_share0.94
days_since_last_push0
active_weeks_last_year43

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 2 days ago
27/27Release cadence — a release every ~1.9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv9.0.0-beta.4
releases_from_tagsno
days_since_latest_release2
mean_days_between_releases1.9
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?

45Weak · 17% of overall

Popularity & adoption

11Critical
How it's scored
4.9/60Stars — 3 stars
5.8/25Forks — 6 forks
0/15Watchers — 0 watchers
Inputs used
forks6
stars3
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

64Moderate
How it's scored
22.5/22.5README
16.9/22.5License — license 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

Ecosystem adoption (downloads)

74Good
How it's scored
59.1/80Monthly downloads — 26,939 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesadcp
dependents—
ecosystemspypi
total_downloads—
monthly_downloads26,939
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?

67Good · 23% of overall

Maintainer resilience (bus factor)

33At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1.7/22.5Commit distribution — top contributor authored 92% of commits
12.2/13.5Contributor breadth — 9 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled9
top_contributor_share0.925

Issue & PR responsiveness

93Exceptional
How it's scored
38.8/42Issue resolution — 92% of issues closed
27.2/30PR acceptance — 923/1,017 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs923
open_issues40
closed_issues479
prs_merged_7d23
prs_decided_7d23
prs_merged_30d51
prs_decided_30d51
issue_closed_ratio0.923
closed_unmerged_prs94
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

54Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
13.8/25Owner reach — 83 followers of adcontextprotocol
10.1/25Track record — 10 public repos, account ~1 yr old
Inputs used
followers83
owner_typeOrganization
is_verifiedno
owner_loginadcontextprotocol
public_repos10
account_age_days458

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 5 days ago
20/20Version history — 125 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesadcp
ecosystemspypi
any_deprecatedno
min_days_since_publish5

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 13 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff], [tool.black])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 29 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 site — https://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?

62Moderate · 16% of overall

Security posture

56Moderate
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
2.5/2.5CI-Tests — 29 out of 29 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
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
0/10Dangerous-Workflow — dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
2.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
4.5/5SAST — SAST tool is not run on all commits -- score normalized to 9
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
1.5/7.5Vulnerabilities — 8 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.6
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

85Excellent
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
10.2/25Indirect dependencies free of known advisories — 1 affected: certifi 2026.10.18 (high 7.4)
40/40No advisories left outstanding — no advisory has been public longer than 90 days
Inputs used
sourceosv
advisories2
affected_packages1
assessed_packages51
unassessed_packages0
affected_by_severityhigh 1
direct_affected_packages0
Matched the pypi:adcp@8.1.3 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.

95Exceptional · 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 present
40/40Legible commit history — 92 of 94 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_url—
legible_history_share0.979
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes15,206

Verify loop (build / test / typecheck)

95Exceptional
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff], [tool.black])
11/11Static type checking — src/adcp/py.typed
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 33 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 2 of the last 100 commits are automated dependency updates
5/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configssrc/adcp/py.typed
agent_commit_share0.33
toolchain_manifests—
dependency_bot_commit_share0.02

Code legibility for models

80Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/adcp/py.typed)
53.4/55Manageable file sizes — 70/2,474 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes2,639,560
source_files_sampled2,474
oversized_source_files70

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

3GitHub stars
9contributors
1,298commits, last 12 months
0days since last push
100releases
1bus factor
40open issues
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 ★ / 6 ⇿
0Stars
6Forks
92Releases

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.

123456612025-112026-042026-10
Major 5Minor 38Patch 13
OpenSSF Scorecard 5.6 / 10
5.6aggregate

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 · 2026-10-20 22:50 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
10Code-Reviewall changesets reviewed
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
0Dangerous-Workflowdangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
9SASTSAST tool is not run on all commits -- score normalized to 9
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
2Vulnerabilities8 existing vulnerabilities detected
Direct dependencies 17
RegistryPackageVersion constraintManifest
PyPIhttpx>=0.28.1,<1.0pyproject.toml
PyPIhttpcore>=1.0.9,<2.0pyproject.toml
PyPIhttpx2>=2.5.0,<3.0pyproject.toml
PyPIhttpcore2>=2.5,<3.0pyproject.toml
PyPIpydantic>=2.13.0,<2.14pyproject.toml
PyPItyping-extensions>=4.14.1pyproject.toml
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PyPItldextract>=5.1.0pyproject.toml
PyPIidna>=3.18,<4pyproject.toml
All dependencies 250

Full resolved dependency set from the GitHub dependency graph: 35 direct and 215 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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npm@a2a-js/sdk1.2.0indirect
npm@a2a-js/sdk1.2.1indirect
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npm@adcp/sdk14.0.0-rc.42indirect
npm@adcp/sdk14.0.0-rc.44indirect
npm@adcp/sdk14.0.0-rc.45indirect
npm@adcp/sdk14.0.0-rc.47indirect
npm@adcp/sdk14.0.0-rc.48indirect
npm@hono/node-server1.19.17indirect
npm@modelcontextprotocol/client2.0.0indirect
npm@modelcontextprotocol/core2.0.0indirect
npm@modelcontextprotocol/core2.1.0indirect
npm@modelcontextprotocol/ext-apps2.0.0indirect
npm@modelcontextprotocol/node2.0.0indirect
npm@modelcontextprotocol/sdk1.32.1indirect
npm@modelcontextprotocol/server2.0.0indirect
npm@standard-schema/spec1.1.0indirect
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npmproxy-addr2.0.8indirect
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npmqs6.16.0indirect
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PyPIgoogle-auth2.58.0indirect
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PyPIjsonschema-specifications2025.9.1indirect
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PyPImcp-types2.2.0indirect
PyPImoto—indirect
PyPImypy1.20.2indirect
PyPIopentelemetry-api—indirect
PyPIopentelemetry-api1.44.0indirect
PyPIopentelemetry-sdk—indirect
PyPIpackaging26.3indirect
PyPIpdoc3—indirect
PyPIpre-commit—indirect
PyPIproto-plus1.28.4indirect
PyPIpsycopg—indirect
PyPIpsycopg3.3.6indirect
PyPIpsycopg-binary3.3.6indirect
PyPIpsycopg-pool—indirect
PyPIpsycopg-pool3.3.2indirect
PyPIpyasn10.6.4indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.46.0indirect
PyPIpydantic-core2.46.5indirect
PyPIpyjwt2.15.0indirect
PyPIpyright1.1.414indirect
PyPIpytest—indirect
PyPIpytest-asyncio—indirect
PyPIpytest-cov—indirect
PyPIpytest-xdist—indirect
PyPIpython-multipart0.0.32indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIrequests-file3.0.1indirect
PyPIrespx—indirect
PyPIrpds-py0.30.0indirect
PyPIruff—indirect
PyPIsetuptools—indirect
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PyPIstarlette1.6.0indirect
PyPIsvix—indirect
PyPItruststore0.10.4indirect
PyPItypes-protobuf—indirect
PyPItyping-inspection0.4.4indirect
PyPIurllib32.8.0indirect
PyPIuvicorn0.53.0indirect
PyPIwrapt2.4.1indirect
Dependency advisories 1

Installing pypi:adcp@8.1.3 pulls in 51 packages, direct and transitive: 1 carry known advisories, of which 0 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
certifi2026.10.18indirecthigh22026.10.19

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

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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.