Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-05 14:32 UTC

airbytehq / fastmcp-extensions

Unofficial FastMCP extensions, created by Airbyte for the FastMCP and Airbyte community. Used by our own MCP servers and inspired by our usage patterns and emerging best practices.

PythonApache-2.0★ 2 stars⑂ 0 forkssince Jan 2026View on GitHub ↗
KindMCP serverLibraryNetwork servicehow this is determined
#accelerator#ai-agents#mcp

airbytehq/fastmcp-extensions holds a health index of 81 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (86/100) and lowest on Community & Adoption (46/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.

81
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.

81
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 69 is calibrated to 81 on the published index scale (record calibration 2026-08-02).

Ownership

AirbyteOrganization · verified domain
1,056 followers64 public repossince Jan 2020

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIfastmcp-extensions0.22.0129,760388 days agoextensionsfastmcpmcpmodel-context-protocolutilities

Metrics by category

Vitality

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

80Excellent · 21% of overall

Development activity

74Good
How it's scored
36/36Push recency — last push 1 days ago
9.7/36Commit cadence — 14/52 weeks with commits
18/18Commit volume — 107 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_year107
human_commit_share0.49
days_since_last_push1
active_weeks_last_year14

Release discipline

90Excellent
How it's scored
27/27Ships releases — 31 releases published
36/36Release recency — latest release 8 days ago
27/27Release cadence — a release every ~3.8 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count31
latest_release_tagv0.22.0
releases_from_tagsno
days_since_latest_release8
mean_days_between_releases3.8

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

46Weak · 17% of overall

Popularity & adoption

1Critical
How it's scored
0/60Stars — 2 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars2
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

70Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

85Excellent
How it's scored
68.2/80Monthly downloads — 129,760 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesfastmcp-extensions
dependents—
ecosystemspypi
total_downloads—
monthly_downloads129,760
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?

68Good · 23% of overall

Maintainer resilience (bus factor)

16Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

75Good
How it's scored
42/42Issue resolution — 100% of issues closed
23.2/30PR acceptance — 86/111 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/22 approved changesets -- score normalized to 0
Inputs used
merged_prs86
open_issues0
closed_issues1
prs_merged_7d0
prs_decided_7d0
prs_merged_30d15
prs_decided_30d15
issue_closed_ratio1
closed_unmerged_prs25
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

97Exceptional
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
21.7/25Owner reach — 1,056 followers of airbytehq
25/25Track record — 64 public repos, account ~6 yr old
Inputs used
followers1,056
owner_typeOrganization
is_verifiedyes
owner_loginairbytehq
public_repos64
account_age_days2,429

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 — 38 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesfastmcp-extensions
ecosystemspypi
any_deprecatedno
min_days_since_publish8

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 15 workflow(s)
24/24Tests present
16/16Linter config — ruff.toml
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 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

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://airbytehq.github.io/fastmcp-extensions/
10/10Repository description
10/10Topics — 3 topics
0/10Wiki
Inputs used
topicsaccelerator, ai-agents, mcp
has_wikino
homepagehttps://airbytehq.github.io/fastmcp-extensions/
docs_sitehttps://airbytehq.github.io/fastmcp-extensions/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

64Moderate · 16% of overall

Security posture

55Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 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
0/7.5Code-Review — Found 0/22 approved changesets -- score normalized to 0
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
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
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
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 — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5.5

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_packages77
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:fastmcp-extensions@0.22.0 runtime dependency closure — what installing the published package pulls in — 77 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.

56Moderate · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 48 of 49 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.98
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

72Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — ruff.toml
11/11Static type checking — src/fastmcp_extensions/py.typed
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 62 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 38 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configssrc/fastmcp_extensions/py.typed
agent_commit_share0.62
toolchain_manifests—
dependency_bot_commit_share0.38

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/fastmcp_extensions/py.typed)
55/55Manageable file sizes — 0/43 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes28,899
source_files_sampled43
oversized_source_files0

Machine-readable interfaces

20At Risk
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
0/40Runnable examples
Inputs used
example_dirs—
has_mcp_signalyes
api_schema_files—
interfaces_expected_ofnetwork-service

Key facts

2GitHub stars
1contributors
107commits, last 12 months
1days since last push
31releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

OpenSSF Scorecard 5.5 / 10
5.5aggregate

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 · 2026-09-05 14:32 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-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 0/22 approved changesets -- score normalized to 0
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
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
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
9SASTSAST tool is not run on all commits -- score normalized to 9
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 10
RegistryPackageVersion constraintManifest
PyPIfastmcp>=3.0,<4.0pyproject.toml
PyPIhttpx—pyproject.toml
PyPImcp—pyproject.toml
PyPImsgspec>=0.19,<1.0pyproject.toml
PyPIpy-key-value-aio>=0.4.4,<0.5.0pyproject.toml
PyPIpydantic>=2.0,<3.0pyproject.toml
PyPIsegment-analytics-python>=2.3,<3.0pyproject.toml
PyPIsentry-sdk>=2.0,<3.0pyproject.toml
PyPIstarlette—pyproject.toml
PyPIuvicorn—pyproject.toml
All dependencies 102

Full resolved dependency set from the GitHub dependency graph: 10 direct and 92 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIfastmcp3.4.6direct
PyPIhttpx0.28.1direct
PyPImcp1.28.1direct
PyPImsgspec0.21.1direct
PyPIpy-key-value-aio0.4.4direct
PyPIpydantic2.12.5direct
PyPIsegment-analytics-python2.3.6direct
PyPIsentry-sdk2.63.0direct
PyPIstarlette1.3.1direct
PyPIuvicorn0.40.0direct
PyPIaiofile3.9.0indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.12.1indirect
PyPIattrs25.4.0indirect
PyPIauthlib1.6.12indirect
PyPIbackoff2.2.1indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbeartype0.22.9indirect
PyPIcachetools6.2.4indirect
PyPIcaio0.9.25indirect
PyPIcertifi2026.1.4indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.4indirect
PyPIclick8.3.0indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.11.0indirect
PyPIcryptography50.0.0indirect
PyPIcyclopts4.5.0indirect
PyPIdeptry0.25.1indirect
PyPIdnspython2.8.0indirect
PyPIdocstring-parser0.17.0indirect
PyPIdocutils0.22.4indirect
PyPIemail-validator2.3.0indirect
PyPIexceptiongroup1.3.0indirect
PyPIfastmcp-slim3.4.6indirect
PyPIgriffelib2.1.0indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx-sse0.4.3indirect
PyPIidna3.15indirect
PyPIimportlib-metadata8.7.1indirect
PyPIiniconfig2.3.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.0indirect
PyPIjaraco-functools4.4.0indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIjoserfc1.7.4indirect
PyPIjsonref1.1.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-path0.3.4indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIkeyring25.7.0indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkdown22.5.5indirect
PyPImarkupsafe3.0.3indirect
PyPImdurl0.1.2indirect
PyPImore-itertools10.8.0indirect
PyPIopenapi-pydantic0.5.1indirect
PyPIopentelemetry-api1.39.1indirect
PyPIpackaging25.0indirect
PyPIpastel0.2.1indirect
PyPIpathable0.4.4indirect
PyPIpdoc16.0.0indirect
PyPIplatformdirs4.5.1indirect
PyPIpluggy1.6.0indirect
PyPIpoethepoet0.37.0indirect
PyPIpycparser2.23indirect
PyPIpydantic-core2.41.5indirect
PyPIpydantic-settings2.14.2indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpyperclip1.11.0indirect
PyPIpytest9.0.3indirect
PyPIpytest-asyncio1.3.0indirect
PyPIpytest-cov7.0.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-multipart0.0.31indirect
PyPIpywin32311indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIreferencing0.36.2indirect
PyPIrequests2.33.0indirect
PyPIrequirements-parser0.13.0indirect
PyPIrich13.9.4indirect
PyPIrich-rst1.3.2indirect
PyPIrpds-py0.30.0indirect
PyPIruff0.16.2indirect
PyPIsecretstorage3.5.0indirect
PyPIsix1.17.0indirect
PyPIsse-starlette3.1.2indirect
PyPItomli2.3.0indirect
PyPIty0.0.71indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPIuncalled-for0.2.0indirect
PyPIurllib32.7.0indirect
PyPIwatchfiles1.1.1indirect
PyPIwebsockets16.0indirect
PyPIzipp3.23.0indirect
Dependency advisories 0

Installing pypi:fastmcp-extensions@0.22.0 pulls in 77 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

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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.