Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-10 16:27 UTC

keboola / mcp-server

Model Context Protocol (MCP) Server for the Keboola Platform

PythonMIT★ 86 stars⑂ 24 forkssince Jan 2025View on GitHub ↗
KindMCP serverCommand-line toolLibraryhow this is determined
#model-context-protocol#data-platform#etl-pipeline#mcp#mcp-server#keboola-platform

keboola/mcp-server holds a health index of 93 out of 100, placing it in the Exceptional band. It scores highest on Vitality (99/100) and lowest on Community & Adoption (62/100). It was last updated today. 2 contributors account for most of its recent work.

93
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.

93
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 79 is calibrated to 93 on the published index scale (record calibration 2026-08-02).

Ownership

KeboolaOrganization
69 followers703 public repossince Feb 2012

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIkeboola-mcp-server1.80.128,771648 days ago

Metrics by category

Vitality

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

99Exceptional · 21% of overall

Development activity

99Exceptional
How it's scored
36/36Push recency — last push 0 days ago
34.6/36Commit cadence — 50/52 weeks with commits
18/18Commit volume — 1,809 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,809
human_commit_share0.99
days_since_last_push0
active_weeks_last_year50

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 71 releases published
36/36Release recency — latest release 8 days ago
27/27Release cadence — a release every ~3.8 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count71
latest_release_tagv1.80.1
releases_from_tagsno
days_since_latest_release8
mean_days_between_releases3.8
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?

62Moderate · 17% of overall

Popularity & adoption

49Weak
How it's scored
31.3/60Stars — 86 stars
11.3/25Forks — 24 forks
6.2/15Watchers — 14 watchers
Inputs used
forks24
stars86
watchers14
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

77Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code 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_conductno
readme_badge_services—
has_pull_request_templateyes

Sustainability & Governance

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

72Good · 23% of overall

Maintainer resilience (bus factor)

64Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
14.8/22.5Commit distribution — top contributor authored 34% of commits
13.5/13.5Contributor breadth — 26 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor2
contributors_sampled26
top_contributor_share0.342

Issue & PR responsiveness

62Moderate
How it's scored
16.3/42Issue resolution — 39% of issues closed
22.3/30PR acceptance — 480/646 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_prs480
open_issues19
closed_issues12
prs_merged_7d0
prs_decided_7d0
prs_merged_30d15
prs_decided_30d16
issue_closed_ratio0.387
closed_unmerged_prs166
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

68Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
13.3/25Owner reach — 69 followers of keboola
25/25Track record — 703 public repos, account ~14 yr old
Inputs used
followers69
owner_typeOrganization
is_verifiedno
owner_loginkeboola
public_repos703
account_age_days5,326

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 8 days ago
20/20Version history — 64 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageskeboola-mcp-server
ecosystemspypi
any_deprecatedno
min_days_since_publish8

Engineering Quality

Are baseline engineering and documentation practices in place?

80Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 8 out of 8 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

75Good
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 6 topics
0/10Wiki
Inputs used
topicsmodel-context-protocol, data-platform, etl-pipeline, mcp, mcp-server, keboola-platform
has_wikino
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

82Excellent · 16% of overall

Security posture

78Good
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 — 8 out of 8 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
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 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
5/5SAST — SAST tool is run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
6.8/7.5Token-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_aggregate7.8
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_packages74
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:keboola-mcp-server@1.80.1 runtime dependency closure — what installing the published package pulls in — 74 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.

70Good · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 96 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.97
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes9,411

Verify loop (build / test / typecheck)

70Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — mypy.ini
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 24 of the last 100 commits agent-authored or agent-credited
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
1/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsmypy.ini
agent_commit_share0.24
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

79Good
How it's scored
27/45Type-checkable code — Python with type-check config (mypy.ini)
51.7/55Manageable file sizes — 10/167 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes133,874
source_files_sampled167
oversized_source_files10

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

86GitHub stars
26contributors
1,809commits, last 12 months
0days since last push
71releases
2bus factor
19open 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 ★ / 24 ⇿
0Stars
24Forks
56Releases

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.

048121620242432025-012025-102026-06
Major 1Minor 14Patch 41

Each point covers 2 days.

OpenSSF Scorecard 7.8 / 10
7.8aggregate

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 · 2026-09-10 16:27 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests8 out of 8 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
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
1Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 14
RegistryPackageVersion constraintManifest
PyPIfastmcp== 3.4.7pyproject.toml
PyPImcp== 1.28.1pyproject.toml
PyPIhttpx~= 0.28pyproject.toml
PyPIhttpx-retries~=0.5pyproject.toml
PyPIjsonpath-ng~= 1.8pyproject.toml
PyPIjsonschema~= 4.26pyproject.toml
PyPIpyjwt~= 2.13pyproject.toml
PyPIjson-log-formatter~= 1.1pyproject.toml
PyPIcryptography~= 50.0pyproject.toml
PyPIasyncpg~= 0.31pyproject.toml
PyPIpydantic~= 2.13.0pyproject.toml
PyPIsqlglot~= 30.0pyproject.toml
PyPItoon-format~= 0.9.0b1pyproject.toml
PyPIpyyaml~= 6.0pyproject.toml
All dependencies 128

Full resolved dependency set from the GitHub dependency graph: 14 direct and 114 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIasyncpg0.31.0direct
PyPIcryptography50.0.0direct
PyPIfastmcp3.4.7direct
PyPIhttpx0.28.1direct
PyPIhttpx-retries0.6.0direct
PyPIjson-log-formatter1.2.1direct
PyPIjsonpath-ng1.8.0direct
PyPIjsonschema4.26.0direct
PyPImcp1.28.1direct
PyPIpydantic2.13.4direct
PyPIpyjwt2.13.0direct
PyPIpyyaml6.0.3direct
PyPIsqlglot30.17.0direct
PyPItoon-format0.9.0b1direct
PyPIaiofile3.11.1indirect
PyPIaiofile3.9.0indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.13.0indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs26.1.0indirect
PyPIauthlib1.7.2indirect
PyPIazure-core1.41.0indirect
PyPIazure-storage-blob12.29.0indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbeartype0.22.9indirect
PyPIboto31.43.67indirect
PyPIbotocore1.43.67indirect
PyPIcachetools6.2.6indirect
PyPIcaio0.9.25indirect
PyPIcertifi2026.5.20indirect
PyPIcffi2.0.0indirect
PyPIchardet7.4.3indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.4.1indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.14.1indirect
PyPIcyclopts4.16.1indirect
PyPIdistlib0.4.1indirect
PyPIdnspython2.8.0indirect
PyPIdocstring-parser0.18.0indirect
PyPIemail-validator2.3.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIfastmcp-slim3.4.7indirect
PyPIfilelock3.29.1indirect
PyPIgoogle-api-core2.31.0indirect
PyPIgoogle-auth2.43.0indirect
PyPIgoogle-cloud-core2.6.0indirect
PyPIgoogle-cloud-storage3.5.0indirect
PyPIgoogle-crc32c1.8.0indirect
PyPIgoogle-resumable-media2.10.0indirect
PyPIgoogleapis-common-protos1.75.0indirect
PyPIgriffelib2.0.2indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx-sse0.4.3indirect
PyPIidna3.18indirect
PyPIimportlib-metadata9.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIisodate0.7.2indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.5.0indirect
PyPIjeepney0.9.0indirect
PyPIjmespath1.1.0indirect
PyPIjoserfc1.7.0indirect
PyPIjsonref1.1.0indirect
PyPIjsonschema-path0.5.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIkbcstorage0.9.5indirect
PyPIkeboola-mcp-server1.80.1indirect
PyPIkeyring25.7.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImdurl0.1.2indirect
PyPImore-itertools11.1.0indirect
PyPIopenapi-pydantic0.5.1indirect
PyPIopentelemetry-api1.42.1indirect
PyPIpackaging26.2indirect
PyPIpathable0.6.0indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIproto-plus1.28.0indirect
PyPIprotobuf7.35.0indirect
PyPIpy-key-value-aio0.4.5indirect
PyPIpyasn10.6.4indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-settings2.14.2indirect
PyPIpygments2.20.0indirect
PyPIpyperclip1.11.0indirect
PyPIpyproject-api1.10.1indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-datadir1.8.0indirect
PyPIpytest-mock3.15.1indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.4.0indirect
PyPIpython-dotenv1.2.3indirect
PyPIpython-multipart0.0.31indirect
PyPIpywin32312indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIresponses0.26.1indirect
PyPIrich15.0.0indirect
PyPIrich-rst2.0.1indirect
PyPIrpds-py0.30.0indirect
PyPIrpds-py2026.5.1indirect
PyPIrsa4.9.1indirect
PyPIruff0.16.4indirect
PyPIs3transfer0.19.2indirect
PyPIsecretstorage3.5.0indirect
PyPIsix1.17.0indirect
PyPIsse-starlette3.4.4indirect
PyPIstarlette1.3.1indirect
PyPItomli2.4.1indirect
PyPItox4.35.0indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPIuncalled-for0.3.2indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.49.0indirect
PyPIvirtualenv21.4.2indirect
PyPIwatchfiles1.2.0indirect
PyPIwebsockets16.0indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

Installing pypi:keboola-mcp-server@1.80.1 pulls in 74 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

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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.