Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-14 19:57 UTC

pipeboard-co / meta-ads-mcp

Meta Ads (Facebook/Instagram) MCP server for Claude, ChatGPT, Perplexity & Cursor — the Meta node of Pipeboard’s 5-platform family (+ Google, TikTok, Snap, Reddit). Hosted remote MCP, badged Meta Business Partner, free plan — no self-hosting required.

PythonCustom license★ 1,257 stars⑂ 277 forkssince Apr 2025View on GitHub ↗
KindCommand-line toolMCP serverLibraryNetwork servicehow this is determined

pipeboard-co/meta-ads-mcp holds a health index of 73 out of 100, placing it in the Good band. It scores highest on Vitality (86/100) and lowest on AI Readiness (50/100). It was last updated 26 days ago. A single contributor accounts for most of its recent work.

73
overall / 100
Good

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.

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

Ownership

pipeboard-coOrganization
27 followers4 public repossince Apr 2025

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPImeta-ads-mcp1.0.1208,98017834 days agoadsapiclaudefacebookmcpmeta

Metrics by category

Vitality

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

86Excellent · 21% of overall
How it's scored
28.8/36Push recencylast push 26 days ago
22.8/36Commit cadence33/52 weeks with commits
18/18Commit volume272 commits in the last year
6/10OpenSSF Scorecard: Maintained8 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 6
Inputs used
commits_last_year272
human_commit_share0.98
days_since_last_push26
active_weeks_last_year33

Release discipline

100Exceptional
How it's scored
27/27Ships releases100 releases published
36/36Release recencylatest release 34 days ago
27/27Release cadencea release every ~8.8 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count100
latest_release_tag1.0.120
releases_from_tagsno
days_since_latest_release34
mean_days_between_releases8.8
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?

63Moderate · 17% of overall
How it's scored
50.3/60Stars1,257 stars
20.3/25Forks277 forks
6.2/15Watchers14 watchers
Inputs used
forks277
stars1,257
watchers14
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
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateno
How it's scored
52.7/80Monthly downloads8,980 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesmeta-ads-mcp
dependents
ecosystemspypi
total_downloads
monthly_downloads8,980
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?

53Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
0.5/22.5Commit distributiontop contributor authored 98% of commits
9.5/13.5Contributor breadth7 contributors
0/10OpenSSF Scorecard: Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled7
top_contributor_share0.98
How it's scored
28/42Issue resolution67% of issues closed
25.6/30PR acceptance99/116 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 1/28 approved changesets -- score normalized to 0
Inputs used
merged_prs99
open_issues11
closed_issues22
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.667
closed_unmerged_prs17
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
10.4/25Owner reach27 followers of pipeboard-co
7.9/25Track record4 public repos, account ~1 yr old
Inputs used
followers27
owner_typeOrganization
is_verifiedno
owner_loginpipeboard-co
public_repos4
account_age_days518

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 34 days ago
20/20Version history178 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesmeta-ads-mcp
ecosystemspypi
any_deprecatedno
min_days_since_publish34

Engineering Quality

Are baseline engineering and documentation practices in place?

67Good · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage sitehttps://pipeboard.co
10/10Repository description
10/10Topics10 topics
0/10Wiki
Inputs used
topicsadvertising, ai-agents, chatgpt, claude, facebook-ads, instagram-ads, mcp, meta-ads, model-context-protocol, pipeboard
has_wikino
homepagehttps://pipeboard.co
docs_sitehttps://pipeboard.co
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

53Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0.8/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests30 out of 30 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
0/7.5Code-ReviewFound 1/28 approved changesets -- score normalized to 0
0/2.5Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.2/2.5Licenselicense file detected
4.5/7.5Maintained8 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 6
5/5Packagingpackaging workflow detected
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0/5SASTSAST tool is not run on all commits -- score normalized to 0
5/5Security-Policysecurity policy file detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities18 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.6
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.
How it's scored
13.7/35Direct dependencies free of known advisories1 affected: mcp 1.23.0 (high 7.6)
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
40/40No advisories left outstandingno advisory has been public longer than 90 days
Inputs used
sourceosv
advisories6
affected_packages1
assessed_packages48
unassessed_packages0
affected_by_severityhigh 1
direct_affected_packages1
Matched the pypi:meta-ads-mcp@1.0.120 runtime dependency closure — what installing the published package pulls in — 48 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.

50Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt)llms.txt served by the project website (https://pipeboard.co/llms.txt)
40/40Legible commit history86 of 98 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://pipeboard.co/llms.txt
legible_history_share0.878
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environmentDockerfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance2 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configno
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.02
How it's scored
0/45Type-checkable codePython without a type-check config
53.7/55Manageable file sizes2/86 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes170,015
source_files_sampled86
oversized_source_files2
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
40/40Runnable examplesexamples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_files
interfaces_expected_ofnetwork-service

Key facts

1,257GitHub stars
7contributors
272commits, last 12 months
26days since last push
100releases
1bus factor
11open 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 ★ / 277 ⇿
0Stars
277Forks
100Releases

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.

05010015020025030027562025-042025-122026-09
Major 0Minor 0Patch 100

Each point covers 2 days.

OpenSSF Scorecard 4.6 / 10
4.6aggregate

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 · 2026-09-14 19:57 UTC

10Binary-Artifactsno binaries found in the repo
1Branch-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
0Code-ReviewFound 1/28 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
6Maintained8 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 6
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities18 existing vulnerabilities detected
Direct dependencies 10
RegistryPackageVersion constraintManifest
PyPIhttpx>=0.26.0pyproject.toml
PyPImcp==1.28.1pyproject.toml
PyPIstarlette>=1.0.1pyproject.toml
PyPIpython-dotenv>=1.1.0pyproject.toml
PyPIrequests>=2.32.3pyproject.toml
PyPIPillow>=10.0.0pyproject.toml
PyPIpathlib>=1.0.1pyproject.toml
PyPIpython-dateutil>=2.8.2pyproject.toml
PyPIpytest>=8.4.1pyproject.toml
PyPIpytest-asyncio>=1.0.0pyproject.toml
All dependencies 11

Full resolved dependency set from the GitHub dependency graph: 11 direct and 0 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIhttpxdirect
PyPImcpdirect
PyPImcp1.28.1direct
PyPIpathlibdirect
PyPIpillowdirect
PyPIpytestdirect
PyPIpytest-asynciodirect
PyPIpython-dateutildirect
PyPIpython-dotenvdirect
PyPIrequestsdirect
PyPIstarlettedirect
Dependency advisories 1

Installing pypi:meta-ads-mcp@1.0.120 pulls in 48 packages, direct and transitive: 1 carry known advisories, of which 1 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
mcp1.23.0directhigh61.28.1

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.