Public record
Software health reportschema 0.12.0 · metrics 2.10.0 · 2026-07-18 03:09 UTC

keboola / keboola-mcp-server

Model Context Protocol (MCP) Server for the Keboola Platform

PythonMIT★ 84 stars⑂ 25 forkssince Jan 2025View on GitHub ↗
KindMCP serverLibraryhow this is determined
#model-context-protocol#data-platform#etl-pipeline#mcp#mcp-server#keboola-platform

keboola/keboola-mcp-server holds a health index of 90 out of 100, placing it in the Excellent band. It scores highest on Vitality (100/100) and lowest on AI Readiness (61/100). It was last updated today. 2 contributors account for most of its recent work.

90
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.

90
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 76 is calibrated to 90 on the published index scale (record calibration 2026-08-02).

Ownership

KeboolaOrganization
66 followers679 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-server1.73.2-562 days ago

Metrics by category

Vitality

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

100Exceptional · 21% of overall

Development activity

100Exceptional
How it's scored
36/36Push recency — last push 0 days ago
36/36Commit cadence — 52/52 weeks with commits
18/18Commit volume — 2,021 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_year2,021
human_commit_share—
days_since_last_push0
active_weeks_last_year52

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 61 releases published
36/36Release recency — latest release 1 days ago
27/27Release cadence — a release every ~6.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count61
latest_release_tagv1.73.2
releases_from_tagsno
days_since_latest_release1
mean_days_between_releases6.4
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
31.1/60Stars — 84 stars
11.5/25Forks — 25 forks
6.4/15Watchers — 15 watchers
Inputs used
forks25
stars84
watchers15
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_badges—
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?

75Good · 23% of overall

Maintainer resilience (bus factor)

63Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
14.5/22.5Commit distribution — top contributor authored 36% of commits
13.5/13.5Contributor breadth — 29 contributors
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled29
top_contributor_share0.357

Issue & PR responsiveness

61Moderate
How it's scored
15.4/42Issue resolution — 37% of issues closed
22.9/30PR acceptance — 444/581 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_prs444
open_issues19
closed_issues11
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.367
closed_unmerged_prs137
first_time_authors_30d—
first_time_prs_merged_30d—
first_time_prs_decided_30d—
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

85Excellent
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
13.1/25Owner reach — 66 followers of keboola
25/25Track record — 679 public repos, account ~14 yr old
Inputs used
followers66
owner_typeOrganization
is_verified—
owner_loginkeboola
public_repos679
account_age_days5,272
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 2 days ago
20/20Version history — 56 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageskeboola-mcp-server
ecosystemspypi
any_deprecatedno
min_days_since_publish2

Engineering Quality

Are baseline engineering and documentation practices in place?

71Good · 19% of overall

Engineering practices

68Good
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
0/16Linter config
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_configno
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?

73Good · 16% of overall

Security posture

73Good
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 5 contributing companies or organizations
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 17 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
3/7.5Vulnerabilities — 6 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate7.3
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

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.

61Moderate · 4% of overall

Agent context & guidance

75Good
How it's scored
45/45Agent instructions — CLAUDE.md
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share—
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes9,302
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

54Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
11/11Static type checking — mypy.ini
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no data
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_configno
typecheck_configsmypy.ini
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.

Code legibility for models

79Good
How it's scored
27/45Type-checkable code — Python with type-check config (mypy.ini)
52.2/55Manageable file sizes — 7/140 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes128,285
source_files_sampled140
oversized_source_files7

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

84GitHub stars
29contributors
2,021commits, last 12 months
0days since last push
61releases
2bus factor
19open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 7.3 / 10
7.3aggregate

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 · 2026-07-18 03:08 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 5 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 17 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
4Vulnerabilities6 existing vulnerabilities detected
Direct dependencies 13
RegistryPackageVersion constraintManifest
PyPIfastmcp== 3.4.2pyproject.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~= 49.0pyproject.toml
PyPIpydantic~= 2.13.0pyproject.toml
PyPIsqlglot~= 30.0pyproject.toml
PyPItoon-format~= 0.9.0b1pyproject.toml
PyPIpyyaml~= 6.0pyproject.toml
All dependencies 144

Full resolved dependency set from the GitHub dependency graph: 13 direct and 131 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcryptography49.0.0direct
PyPIfastmcp3.4.2direct
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
PyPIsqlglot30.12.0direct
PyPItoon-format0.9.0b1direct
PyPIaiofile3.11.1indirect
PyPIaiofile3.9.0indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.13.0indirect
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
PyPIblack26.5.1indirect
PyPIboto31.43.22indirect
PyPIbotocore1.43.22indirect
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-slim3.4.2indirect
PyPIfilelock3.29.1indirect
PyPIflake87.3.0indirect
PyPIflake8-bugbear25.11.29indirect
PyPIflake8-colors0.1.9indirect
PyPIflake8-isort7.0.0indirect
PyPIflake8-plugin-utils1.3.3indirect
PyPIflake8-pyproject1.2.4indirect
PyPIflake8-pytest-style2.2.0indirect
PyPIflake8-quotes3.4.0indirect
PyPIflake8-typing-imports1.17.0indirect
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
PyPIisort8.0.1indirect
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-server1.73.4indirect
PyPIkeyring25.7.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImccabe0.7.0indirect
PyPImdurl0.1.2indirect
PyPImore-itertools11.1.0indirect
PyPImypy-extensions1.1.0indirect
PyPIopenapi-pydantic0.5.1indirect
PyPIopentelemetry-api1.42.1indirect
PyPIpackaging26.2indirect
PyPIpathable0.6.0indirect
PyPIpathspec1.1.1indirect
PyPIpep8-naming0.15.1indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIproto-plus1.28.0indirect
PyPIprotobuf7.35.0indirect
PyPIpy-key-value-aio0.4.5indirect
PyPIpyasn10.6.3indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycodestyle2.14.0indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-settings2.14.2indirect
PyPIpyflakes3.4.0indirect
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-dotenv1.2.2indirect
PyPIpython-multipart0.0.31indirect
PyPIpytokens0.4.1indirect
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
PyPIs3transfer0.18.0indirect
PyPIsecretstorage3.5.0indirect
PyPIsetuptools82.0.1indirect
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
PyPIurllib31.26.20indirect
PyPIuvicorn0.49.0indirect
PyPIvirtualenv21.4.2indirect
PyPIwatchfiles1.2.0indirect
PyPIwebsockets16.0indirect
PyPIzipp4.1.0indirect
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 v0.12.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.