Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-10 05:03 UTC

dbt-labs / dbt-mcp

A MCP (Model Context Protocol) server for interacting with dbt.

PythonApache-2.0★ 603 stars⑂ 128 forkssince Mar 2025View on GitHub ↗
KindCommand-line toolMCP serverNetwork serviceWeb interfacehow this is determined
#data-analytics#data-engineering#llm#mcp#mcp-server#model-context-protocol#dbt

dbt-labs/dbt-mcp holds a health index of 95 out of 100, placing it in the Exceptional band. It scores highest on Vitality (95/100) and lowest on Security (57/100). It was last updated today. 2 contributors account for most of its recent work.

95
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.

95
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 82 is calibrated to 95 on the published index scale (record calibration 2026-08-02).

Ownership

dbt LabsOrganization · verified domain
2,314 followers418 public repossince Apr 2016

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIdbt-mcp2.3.0100,310911 day agoai-agentanalyticsdatadbtllmmcpmodel-context-protocol

Metrics by category

Vitality

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

95Exceptional · 21% of overall

Development activity

98Exceptional
How it's scored
36/36Push recency — last push 0 days ago
33.9/36Commit cadence — 49/52 weeks with commits
18/18Commit volume — 402 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year402
human_commit_share0.66
days_since_last_push0
active_weeks_last_year49

Release discipline

90Excellent
How it's scored
27/27Ships releases — 89 releases published
36/36Release recency — latest release 1 days ago
27/27Release cadence — a release every ~6.9 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count89
latest_release_tagv2.3.0
releases_from_tagsno
days_since_latest_release1
mean_days_between_releases6.9

Community & Adoption

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

75Good · 17% of overall

Popularity & adoption

68Good
How it's scored
45.1/60Stars — 603 stars
17.5/25Forks — 128 forks
5.8/15Watchers — 12 watchers
Inputs used
forks128
stars603
watchers12
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 (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges1
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_serviceswww.bestpractices.dev
has_pull_request_templateyes

Ecosystem adoption (downloads)

83Excellent
How it's scored
66.7/80Monthly downloads — 100,310 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesdbt-mcp
dependents—
ecosystemspypi
total_downloads—
monthly_downloads100,310
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?

85Excellent · 23% of overall

Maintainer resilience (bus factor)

60Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
11.4/22.5Commit distribution — top contributor authored 49% of commits
13.5/13.5Contributor breadth — 43 contributors
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled43
top_contributor_share0.492

Issue & PR responsiveness

89Excellent
How it's scored
33.9/42Issue resolution — 81% of issues closed
26.9/30PR acceptance — 647/721 decided PRs merged
13/13Newcomer PR acceptance — 2/2 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs647
open_issues27
closed_issues112
prs_merged_7d6
prs_decided_7d6
prs_merged_30d12
prs_decided_30d12
issue_closed_ratio0.806
closed_unmerged_prs74
first_time_authors_30d2
first_time_prs_merged_30d2
first_time_prs_decided_30d2

Ownership & stewardship

99Exceptional
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
24.2/25Owner reach — 2,314 followers of dbt-labs
25/25Track record — 418 public repos, account ~10 yr old
Inputs used
followers2,314
owner_typeOrganization
is_verifiedyes
owner_logindbt-labs
public_repos418
account_age_days3,807

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 1 days ago
20/20Version history — 91 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdbt-mcp
ecosystemspypi
any_deprecatedno
min_days_since_publish1

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
16/16Linter config — eslint.config.js, pyproject.toml ([tool.ruff])
9.6/9.6Pre-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_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://docs.getdbt.com/docs/dbt-ai/about-mcp
10/10Repository description
10/10Topics — 7 topics
0/10Wiki
Inputs used
topicsdata-analytics, data-engineering, llm, mcp, mcp-server, model-context-protocol, dbt
has_wikino
homepage—
docs_sitehttps://docs.getdbt.com/docs/dbt-ai/about-mcp
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

57Moderate · 16% of overall

Security posture

54Moderate
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 — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
1.2/2.5CII-Best-Practices — badge detected: Passing
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 5 contributing companies or organizations
0/10Dangerous-Workflow — 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 7 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
4/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file 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
0/7.5Vulnerabilities — 120 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5.4

Dependency advisories

70Good
How it's scored
11.6/35Direct dependencies free of known advisories — 2 affected: mcp 1.26.0 (high 7.6), starlette 0.50.0 (high 7.5)
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
33.7/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 110 days ago
Inputs used
sourceosv
advisories16
affected_packages2
assessed_packages62
unassessed_packages0
affected_by_severityhigh 2
direct_affected_packages2
Matched the pypi:dbt-mcp@2.3.0 runtime dependency closure — what installing the published package pulls in — 62 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.

90Excellent · 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 served by the project website (https://docs.getdbt.com/llms.txt)
40/40Legible commit history — 64 of 66 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.getdbt.com/llms.txt
legible_history_share0.97
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes3,373

Verify loop (build / test / typecheck)

98Exceptional
How it's scored
18/18One-command bootstrap — Taskfile.yml
22/22Automated tests
11/11Lint / format config — eslint.config.js, pyproject.toml ([tool.ruff])
11/11Static type checking — examples/ai_sdk_agent/tsconfig.json, src/dbt_mcp/py.typed, ui/tsconfig.json
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 8 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 10 of the last 100 commits are automated dependency updates
8/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
Inputs used
has_nixno
has_testsyes
lockfilespnpm-lock.yaml, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesTaskfile.yml
has_devcontainerno
has_linter_configyes
typecheck_configsexamples/ai_sdk_agent/tsconfig.json, src/dbt_mcp/py.typed, ui/tsconfig.json
agent_commit_share0.08
toolchain_manifests—
dependency_bot_commit_share0.1

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (examples/ai_sdk_agent/tsconfig.json, src/dbt_mcp/py.typed, ui/tsconfig.json)
55/55Manageable file sizes — 0/255 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes44,218
source_files_sampled255
oversized_source_files0

Machine-readable interfaces

60Moderate
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_files—
interfaces_expected_ofnetwork-service

Key facts

603GitHub stars
43contributors
402commits, last 12 months
0days since last push
89releases
2bus factor
27open issues
npm, 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 ★ / 128 ⇿
0Stars
128Forks
88Releases

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.

025507510012515012862025-042025-122026-09
Major 1Minor 32Patch 54

Each point covers 2 days.

OpenSSF Scorecard 5.4 / 10
5.4aggregate

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 05:02 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-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
5CII-Best-Practicesbadge detected: Passing
10Code-Reviewall changesets reviewed
10Contributorsproject has 5 contributing companies or organizations
0Dangerous-Workflowdangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
8Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities120 existing vulnerabilities detected
Direct dependencies 17
RegistryPackageVersion constraintManifest
PyPIauthlib~=1.6.7pyproject.toml
PyPIdbt-protos~=1.0.431pyproject.toml
PyPIdbt-sl-sdk~=0.13.3pyproject.toml
PyPIdbtlabs-vortex~=0.2.0pyproject.toml
PyPIfastapi~=0.128.0pyproject.toml
PyPIuvicorn~=0.38.0pyproject.toml
PyPImcp==1.26.0pyproject.toml
PyPIpydantic-settings~=2.10.1pyproject.toml
PyPIpyjwt>=2.12,<2.14pyproject.toml
PyPIpyyaml~=6.0.2pyproject.toml
PyPIhttpx~=0.28.1pyproject.toml
PyPIfilelock~=3.20.3pyproject.toml
PyPIstarlette~=0.50.0pyproject.toml
PyPIdbt-artifacts-parser>=0.13.2pyproject.toml
PyPIjq>=1.12.0pyproject.toml
npmreact^19.2.4ui/package.json
npmreact-dom^19.2.4ui/package.json
All dependencies 526

Full resolved dependency set from the GitHub dependency graph: 26 direct and 500 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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npmlevn0.4.1indirect
npmlocate-path6.0.0indirect
npmlodash.merge4.6.2indirect
npmlru-cache5.1.1indirect
npmminimatch10.2.4indirect
npmminimatch3.1.5indirect
npmms2.1.3indirect
npmnanoid3.3.12indirect
npmnatural-compare1.4.0indirect
npmnode-releases2.0.36indirect
npmoptionator0.9.4indirect
npmp-limit3.1.0indirect
npmp-locate5.0.0indirect
npmparent-module1.0.1indirect
npmpath-exists4.0.0indirect
npmpath-key3.1.1indirect
npmpicocolors1.1.1indirect
npmpicomatch4.0.4indirect
npmpostcss8.5.15indirect
npmprelude-ls1.2.1indirect
npmpunycode2.3.1indirect
npmreact-refresh0.18.0indirect
npmresolve-from4.0.0indirect
npmrollup4.62.0indirect
npmscheduler0.27.0indirect
npmsemver6.3.1indirect
npmsemver7.7.4indirect
npmshebang-command2.0.0indirect
npmshebang-regex3.0.0indirect
npmsource-map-js1.2.1indirect
npmstrip-json-comments3.1.1indirect
npmsupports-color7.2.0indirect
npmtinyglobby0.2.17indirect
npmts-api-utils2.4.0indirect
npmtsx^4.0.0indirect
npmtype-check0.4.0indirect
npmtypescript5.8.3indirect
npmtypescript^5.7.0indirect
npmtypescript-eslint8.57.0indirect
npmupdate-browserslist-db1.2.3indirect
npmuri-js4.4.1indirect
npmvite7.3.5indirect
npmwhich2.0.2indirect
npmword-wrap1.2.5indirect
npmyallist3.1.1indirect
npmyocto-queue0.1.0indirect
PyPIadbc-driver-flightsql1.8.0indirect
PyPIadbc-driver-manager1.8.0indirect
PyPIag2—indirect
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiohttp3.13.3indirect
PyPIaiosignal1.4.0indirect
PyPIaiosqlite0.21.0indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanthropic0.79.0indirect
PyPIanyio4.10.0indirect
PyPIanyio4.12.1indirect
PyPIanyio4.9.0indirect
PyPIappdirs1.4.4indirect
PyPIattrs25.3.0indirect
PyPIattrs25.4.0indirect
PyPIautopep82.3.2indirect
PyPIaws-requests-auth0.4.3indirect
PyPIbackoff2.2.1indirect
PyPIbcrypt5.0.0indirect
PyPIbeautifulsoup44.13.5indirect
PyPIbedrock-agentcore0.1.4indirect
PyPIbedrock-agentcore-starter-toolkit0.1.12indirect
PyPIboto31.40.34indirect
PyPIbotocore1.40.34indirect
PyPIbuild1.4.0indirect
PyPIcertifi2025.6.15indirect
PyPIcertifi2025.7.14indirect
PyPIcertifi2025.8.3indirect
PyPIcertifi2026.1.4indirect
PyPIcffi2.0.0indirect
PyPIcfgv3.4.0indirect
PyPIcfgv3.5.0indirect
PyPIchardet5.2.0indirect
PyPIcharset-normalizer3.4.2indirect
PyPIcharset-normalizer3.4.3indirect
PyPIcharset-normalizer3.4.4indirect
PyPIchromadb1.1.1indirect
PyPIclick8.1.8indirect
PyPIclick8.2.1indirect
PyPIclick8.3.0indirect
PyPIcolorama0.4.6indirect
PyPIcoloredlogs15.0.1indirect
PyPIcrewai1.9.3indirect
PyPIcryptography46.0.5indirect
PyPIcryptography50.0.0indirect
PyPIdill0.4.0indirect
PyPIdiskcache5.6.3indirect
PyPIdistlib0.4.0indirect
PyPIdistro1.9.0indirect
PyPIdocstring-parser0.17.0indirect
PyPIdotenv0.9.9indirect
PyPIdurationpy0.10indirect
PyPIet-xmlfile2.0.0indirect
PyPIflatbuffers25.12.19indirect
PyPIfrozenlist1.7.0indirect
PyPIfrozenlist1.8.0indirect
PyPIfsspec2026.1.0indirect
PyPIgoogle-adk—indirect
PyPIgoogle-genai—indirect
PyPIgoogleapis-common-protos1.72.0indirect
PyPIgql3.5.3indirect
PyPIgraphql-core3.2.6indirect
PyPIgriffe1.7.3indirect
PyPIgrpcio1.76.0indirect
PyPIh110.16.0indirect
PyPIhf-xet1.2.0indirect
PyPIhtml5lib1.1indirect
PyPIhttpcore1.0.9indirect
PyPIhttptools0.7.1indirect
PyPIhttpx-sse0.4.1indirect
PyPIhttpx-sse0.4.3indirect
PyPIhuggingface-hub0.36.1indirect
PyPIhumanfriendly10.0indirect
PyPIidentify2.6.14indirect
PyPIidentify2.6.16indirect
PyPIidna3.10indirect
PyPIidna3.11indirect
PyPIidna3.15indirect
PyPIimportlib-metadata8.7.0indirect
PyPIimportlib-metadata8.7.1indirect
PyPIimportlib-resources6.5.2indirect
PyPIiniconfig2.1.0indirect
PyPIinstructor1.12.0indirect
PyPIjinja23.1.6indirect
PyPIjiter0.10.0indirect
PyPIjiter0.11.0indirect
PyPIjmespath1.0.1indirect
PyPIjson-repair0.25.3indirect
PyPIjson50.10.0indirect
PyPIjsonpatch1.33indirect
PyPIjsonpointer3.0.0indirect
PyPIjsonref1.1.0indirect
PyPIjsonschema4.24.0indirect
PyPIjsonschema4.25.0indirect
PyPIjsonschema4.25.1indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-path0.3.4indirect
PyPIjsonschema-specifications2025.4.1indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIkubernetes35.0.0indirect
PyPIlangchain1.2.10indirect
PyPIlangchain-anthropic1.3.3indirect
PyPIlangchain-core1.2.11indirect
PyPIlangchain-mcp-adapters0.2.1indirect
PyPIlanggraph1.0.10rc1indirect
PyPIlanggraph-checkpoint4.0.0indirect
PyPIlanggraph-prebuilt1.0.8indirect
PyPIlanggraph-sdk0.3.5indirect
PyPIlangsmith0.6.3indirect
PyPIlazy-object-proxy1.12.0indirect
PyPIlxml6.0.2indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkdownify1.2.0indirect
PyPImarkupsafe3.0.2indirect
PyPImarkupsafe3.0.3indirect
PyPImashumaro3.16indirect
PyPImdurl0.1.2indirect
PyPImmh35.2.0indirect
PyPImpmath1.3.0indirect
PyPImultidict6.6.4indirect
PyPImultidict6.7.1indirect
PyPImypy1.18.2indirect
PyPImypy-extensions1.1.0indirect
PyPInodeenv1.10.0indirect
PyPInodeenv1.9.1indirect
PyPInumpy2.4.2indirect
PyPIoauthlib3.3.1indirect
PyPIonnxruntime1.23.2indirect
PyPIopenai—indirect
PyPIopenai1.108.1indirect
PyPIopenai1.83.0indirect
PyPIopenai1.93.0indirect
PyPIopenai-agents0.1.0indirect
PyPIopenapi-schema-validator0.6.3indirect
PyPIopenapi-spec-validator0.7.2indirect
PyPIopenpyxl3.1.5indirect
PyPIopentelemetry-api1.34.1indirect
PyPIopentelemetry-api1.37.0indirect
PyPIopentelemetry-exporter-otlp-proto-common1.34.1indirect
PyPIopentelemetry-exporter-otlp-proto-grpc1.34.1indirect
PyPIopentelemetry-exporter-otlp-proto-http1.34.1indirect
PyPIopentelemetry-instrumentation0.58b0indirect
PyPIopentelemetry-instrumentation-threading0.58b0indirect
PyPIopentelemetry-proto1.34.1indirect
PyPIopentelemetry-sdk1.34.1indirect
PyPIopentelemetry-sdk1.37.0indirect
PyPIopentelemetry-semantic-conventions0.55b1indirect
PyPIopentelemetry-semantic-conventions0.58b0indirect
PyPIorjson3.11.1indirect
PyPIorjson3.11.7indirect
PyPIormsgpack1.12.2indirect
PyPIoverrides7.7.0indirect
PyPIpackaging25.0indirect
PyPIpackaging26.0indirect
PyPIpathable0.4.4indirect
PyPIpathspec0.12.1indirect
PyPIpdfminer-six20251230indirect
PyPIpdfplumber0.11.9indirect
PyPIpillow12.1.1indirect
PyPIplatformdirs4.4.0indirect
PyPIplatformdirs4.5.1indirect
PyPIpluggy1.6.0indirect
PyPIportalocker2.7.0indirect
PyPIposthog5.4.0indirect
PyPIprance25.4.8.0indirect
PyPIpre-commit4.3.0indirect
PyPIpre-commit4.5.1indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpropcache0.3.2indirect
PyPIpropcache0.4.1indirect
PyPIprotobuf5.29.6indirect
PyPIprotobuf6.33.5indirect
PyPIpy-openapi-schema-to-json-schema0.0.3indirect
PyPIpyarrow23.0.1indirect
PyPIpyarrow-stubs20.0.0.20250825indirect
PyPIpybase641.4.3indirect
PyPIpycodestyle2.14.0indirect
PyPIpycparser2.22indirect
PyPIpycparser2.23indirect
PyPIpycparser3.0indirect
PyPIpydantic2.11.10indirect
PyPIpydantic2.11.7indirect
PyPIpydantic2.11.9indirect
PyPIpydantic2.12.5indirect
PyPIpydantic-ai—indirect
PyPIpydantic-core2.33.2indirect
PyPIpydantic-core2.41.5indirect
PyPIpygments2.19.2indirect
PyPIpygments2.20.0indirect
PyPIpypdfium25.3.0indirect
PyPIpypika0.51.0indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpyreadline33.5.4indirect
PyPIpytest9.0.3indirect
PyPIpytest-asyncio1.3.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.1.1indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-multipart0.0.22indirect
PyPIpython-multipart0.0.31indirect
PyPIpywin32311indirect
PyPIquestionary2.1.1indirect
PyPIreadabilipy0.3.0indirect
PyPIreferencing0.36.2indirect
PyPIreferencing0.37.0indirect
PyPIregex2024.9.11indirect
PyPIregex2025.9.18indirect
PyPIrequests2.32.4indirect
PyPIrequests2.32.5indirect
PyPIrequests2.33.0indirect
PyPIrequests-oauthlib2.0.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrich14.1.0indirect
PyPIrich14.3.2indirect
PyPIrpds-py0.26.0indirect
PyPIrpds-py0.27.0indirect
PyPIrpds-py0.27.1indirect
PyPIrpds-py0.30.0indirect
PyPIruamel-yaml0.18.15indirect
PyPIruamel-yaml-clib0.2.12indirect
PyPIruff0.13.1indirect
PyPIs3transfer0.14.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIslack-bolt1.25.0indirect
PyPIslack-sdk3.36.0indirect
PyPIsniffio1.3.1indirect
PyPIsoupsieve2.8indirect
PyPIsse-starlette2.3.6indirect
PyPIsse-starlette2.4.1indirect
PyPIsse-starlette3.0.2indirect
PyPIsse-starlette3.2.0indirect
PyPIstrands-agents1.9.0indirect
PyPIstrands-agents-tools0.2.8indirect
PyPIsympy1.14.0indirect
PyPItenacity9.1.2indirect
PyPItokenizers0.20.3indirect
PyPItoml0.10.2indirect
PyPItomli2.0.2indirect
PyPItomli-w1.1.0indirect
PyPItqdm4.67.1indirect
PyPItqdm4.67.2indirect
PyPItyper0.17.4indirect
PyPItyper0.19.1indirect
PyPItyper0.21.1indirect
PyPItypes-authlib1.6.4.20250920indirect
PyPItypes-pyyaml6.0.12.20250915indirect
PyPItypes-requests2.32.4.20250611indirect
PyPItyping-extensions4.14.0indirect
PyPItyping-extensions4.14.1indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.1indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.6.3indirect
PyPIurllib32.7.0indirect
PyPIuuid1.30indirect
PyPIuuid-utils0.14.0indirect
PyPIuv0.9.28indirect
PyPIuvloop0.22.1indirect
PyPIvirtualenv20.36.1indirect
PyPIwatchdog6.0.0indirect
PyPIwatchfiles1.1.1indirect
PyPIwcwidth0.2.13indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwebsockets16.0indirect
PyPIwrapt1.17.3indirect
PyPIxxhash3.5.0indirect
PyPIyarl1.20.1indirect
PyPIyarl1.22.0indirect
PyPIzipp3.23.0indirect
PyPIzstandard0.23.0indirect
Dependency advisories 2

Installing pypi:dbt-mcp@2.3.0 pulls in 62 packages, direct and transitive: 2 carry known advisories, of which 2 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
mcp1.26.0directhigh61.28.1
starlette0.50.0directhigh101.3.1

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

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