McKinsey & Company

McKinsey & Company is the senior partner of the MBB triumvirate of global strategy and management consulting firms, founded in 1926 by James O. McKinsey and headquartered in New York City. The firm operates from 130-plus cities across more than 65 countries with roughly 38,000-45,000 people serving corporations, governments, and not-for-profit organizations. McKinsey delivers through industry practices and cross-cutting capability practices: Strategy & Corporate Finance, Operations, Marketing & Sales, Risk & Resilience, Sustainability, Transformation, Implementation, Organization (formerly OrgSolutions), Growth / Marketing / Sales, McKinsey Digital, and McKinsey Technology. McKinsey Digital houses QuantumBlack (the AI division acquired in 2015), Leap (venture / business building), and the Technology practice. Internal generative-AI tooling is consolidated in Lilli, a McKinsey-built consultant assistant launched in August 2023 that indexes 100,000+ internal documents and is used by tens of thousands of firm employees. Research and thought leadership are published through McKinsey Insights, McKinsey Quarterly (the firm's flagship business journal since 1964), McKinsey Global Institute (MGI, the firm's business and economics research arm), the QuantumBlack AI report and State of AI survey, industry-specific reports, podcasts (The McKinsey Podcast, McKinsey Talks Operations, etc.), and the McKinsey on Books series. McKinsey does not publish a public commercial developer API or developer portal; all software the firm releases publicly flows through GitHub. The official `github.com/mckinsey` organization hosts a focused open-source portfolio centered on data, AI, and agentic systems — Vizro (low-code Plotly/Dash data-visualization toolkit), Agents-at-Scale ARK (Kubernetes-native framework for portable agentic applications), Agents-at-Scale Marketplace (curated Helm-chart catalog of ARK executors, MCP servers, and tools), CausalNex (Bayesian-network causal-reasoning library), QuantumBlack Design System (shadcn-based React component registry), and qbstyles (QuantumBlack Matplotlib themes). Kedro, the production-grade data and ML pipeline framework originally built inside QuantumBlack, was donated to the Linux Foundation (LF AI & Data) and is now governed at `github.com/kedro-org`.

McKinsey & Company is profiled on the APIs.io network. Tagged areas include Consulting, Management Consulting, Strategy, Professional Services, and MBB.

The McKinsey & Company catalog on APIs.io includes 1 JSON-LD context.

McKinsey & Company’s developer surface includes engineering blog, tooling, YouTube channel, and 37 more developer resources.

33.6/100 thin ▬ flat Agent 3/100 human only open core · Apache-2.0 Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
AccessFree
0 APIs 8 Features 8 Use Cases
ConsultingManagement ConsultingStrategyProfessional ServicesMBBBig ThreeArtificial IntelligenceData ScienceDigital TransformationResearchInsightsOpen-SourceAgentic AIKubernetesData VisualizationCausal InferenceQuantumBlackLilliIndustry Analysis

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
Open Source Surface applies to this provider. This product is open source and we read its repository directly, so Open Source Surface carries 10 points of the composite. It is scored from what the repository actually publishes — a security policy, a contribution guide, a release history, a code of conduct — read live from the provider rather than inferred from our own catalog pointers. This facet adds; nothing was taken away to make room for it. An open-source project is not excused from the commercial facets, because exemption would strip it of the points it does earn. If we have the wrong repository, or this product is not open source, say so on your provider repo and we will drop the facet rather than have you publish against it.
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.
The six quality facets above are damped to 90 points between them, because the conditional facet above carries the other 10. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 90% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/mckinsey-and-company: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Pricing Plans 1

Published pricing tiers and plan structures.

Rate Limits 1

Documented rate limits and quota policies.

FinOps 1

Cost, billing, and metering signals for API financial operations.

Features 8

Notable capabilities this provider offers.

McKinsey Insights and McKinsey Quarterly

McKinsey Insights aggregates the firm's research and commentary; McKinsey Quarterly is its flagship business journal, published continuously since 1964.

McKinsey Global Institute (MGI)

MGI is McKinsey's business and economics research arm, publishing macroeconomic, productivity, and technology research used as long-horizon source material across the firm.

QuantumBlack, AI by McKinsey

The firm's advanced analytics and AI division, acquired in 2015, delivering machine learning, generative AI, and agentic systems engagements; produces the State of AI survey and...

McKinsey Digital

The firm's digital transformation practice encompassing strategy, design, technology, cloud, cyber, data, and product engineering, and the home of QuantumBlack, Leap, and Techno...

Lilli generative-AI assistant

McKinsey's internal generative-AI consultant assistant launched August 2023, indexing 100,000-plus internal documents and used by tens of thousands of firm employees.

Leap by McKinsey (business building)

McKinsey's venture-building and corporate-incubation practice that co-creates new digital businesses with clients.

Open-source AI and data tooling

Public open-source releases on github.com/mckinsey (Vizro, Agents-at-Scale ARK, ARK Marketplace, CausalNex, QuantumBlack Design System, qbstyles) and the LF-governed Kedro proje...

Podcasts and books

The McKinsey Podcast, McKinsey Talks Operations, McKinsey on AI, McKinsey on Books, and other audio and book programs distributing firm thought leadership.

Scroll for all 8

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Mckinsey And Company Context

56 classes · 4 properties

JSON-LD

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Mckinsey And Company Domain Security

TLSv1.3 · DMARC

SECURITY

Use Cases 8

What developers build with this provider.

Corporate and Growth Strategy

C-suite advisory on corporate strategy, growth, M&A, portfolio, pricing, and capital allocation.

Operations Transformation

Manufacturing, supply chain, procurement, and service-operations transformation engagements.

Digital and AI Transformation

End-to-end digital and AI transformation delivered through McKinsey Digital and QuantumBlack, including model design, MLOps, agentic systems, and adoption programs.

Generative AI Programs

Generative AI strategy, use-case identification, and at-scale deployment, including internal lessons from Lilli applied to client environments.

Risk, Resilience, and Cyber

Enterprise risk, regulatory, resilience, and cybersecurity transformations.

Sustainability and Energy Transition

Net-zero transition strategy, decarbonization roadmaps, and sustainability operating-model design through McKinsey Sustainability.

Business Building

Greenfield digital-business creation, joint ventures, and incubation through Leap.

Public-Sector and Social-Sector Engagements

National, state, and city government, plus social-sector and non-profit engagements; not exposed as a public API.

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Resources

Documentation 1

Reference material describing how the API behaves

Build 12

SDKs, sample code, and the tooling you integrate with

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Access & Security 3

Authentication, authorization, and security posture

Learn 1

Tutorials, courses, talks, and written guidance

Operate 3

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 5

The organization behind the API

Other 13

Properties that don't map to a standard resource type

Scroll for all 13

Source (apis.yml)

apis.yml Raw ↑
aid: mckinsey-and-company
name: McKinsey & Company
description: 'McKinsey & Company is the senior partner of the MBB triumvirate of global strategy and management consulting
  firms, founded in 1926 by James O. McKinsey and headquartered in New York City. The firm operates from 130-plus cities across
  more than 65 countries with roughly 38,000-45,000 people serving corporations, governments, and not-for-profit organizations.
  McKinsey delivers through industry practices and cross-cutting capability practices: Strategy & Corporate Finance, Operations,
  Marketing & Sales, Risk & Resilience, Sustainability, Transformation, Implementation, Organization (formerly OrgSolutions),
  Growth / Marketing / Sales, McKinsey Digital, and McKinsey Technology. McKinsey Digital houses QuantumBlack (the AI division
  acquired in 2015), Leap (venture / business building), and the Technology practice. Internal generative-AI tooling is consolidated
  in Lilli, a McKinsey-built consultant assistant launched in August 2023 that indexes 100,000+ internal documents and is
  used by tens of thousands of firm employees. Research and thought leadership are published through McKinsey Insights, McKinsey
  Quarterly (the firm''s flagship business journal since 1964), McKinsey Global Institute (MGI, the firm''s business and economics
  research arm), the QuantumBlack AI report and State of AI survey, industry-specific reports, podcasts (The McKinsey Podcast,
  McKinsey Talks Operations, etc.), and the McKinsey on Books series. McKinsey does not publish a public commercial developer
  API or developer portal; all software the firm releases publicly flows through GitHub. The official `github.com/mckinsey`
  organization hosts a focused open-source portfolio centered on data, AI, and agentic systems — Vizro (low-code Plotly/Dash
  data-visualization toolkit), Agents-at-Scale ARK (Kubernetes-native framework for portable agentic applications), Agents-at-Scale
  Marketplace (curated Helm-chart catalog of ARK executors, MCP servers, and tools), CausalNex (Bayesian-network causal-reasoning
  library), QuantumBlack Design System (shadcn-based React component registry), and qbstyles (QuantumBlack Matplotlib themes).
  Kedro, the production-grade data and ML pipeline framework originally built inside QuantumBlack, was donated to the Linux
  Foundation (LF AI & Data) and is now governed at `github.com/kedro-org`.'
kind: company
deliveryModel:
  model: open-core
  license: Apache-2.0
  open_source: true
  commercial: true
  callable_host: false
  label: Open core · an OSS project plus a commercial hosted product
  confidence: high
  source:
  - license
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: free
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Free
  confidence: medium
  source:
  - plans
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/mckinsey-and-company.png
tags:
- Consulting
- Management Consulting
- Strategy
- Professional Services
- MBB
- Big Three
- Artificial Intelligence
- Data Science
- Digital Transformation
- Research
- Insights
- Open-Source
- Agentic AI
- Kubernetes
- Data Visualization
- Causal Inference
- QuantumBlack
- Lilli
- Industry Analysis
tags_raw:
- Consulting
- Management Consulting
- Strategy
- Professional Services
- MBB
- Big Three
- AI
- Data Science
- Digital Transformation
- Operations
- Research
- Insights
- Open Source
- Agentic AI
- Kubernetes
- Data Visualization
- Causal Inference
- QuantumBlack
- Lilli
- Industry Analysis
url: https://raw.githubusercontent.com/api-evangelist/mckinsey-and-company/refs/heads/main/apis.yml
created: '2026-05-23'
modified: '2026-05-23'
specificationVersion: '0.23'
apis: []
common:
- type: IssueTracker
  url: https://github.com/mckinsey/vizro/issues
- type: Releases
  url: https://github.com/mckinsey/vizro/releases
- type: SecurityPolicy
  url: https://github.com/mckinsey/vizro/blob/main/SECURITY.md
- type: CodeOfConduct
  url: https://github.com/mckinsey/vizro/blob/main/CODE_OF_CONDUCT.md
- type: ContributionGuide
  url: https://github.com/mckinsey/vizro/blob/main/CONTRIBUTING.md
- type: License
  name: Apache-2.0
  url: https://github.com/mckinsey/vizro/blob/main/LICENSE
- type: DomainSecurity
  url: security/mckinsey-and-company-domain-security.yml
- type: Blog
  url: https://www.mckinsey.com/insights/rss
- type: Website
  url: https://www.mckinsey.com/
- type: About
  url: https://www.mckinsey.com/about-us
- type: Capabilities
  name: McKinsey Capabilities (cross-cutting practices)
  url: https://www.mckinsey.com/capabilities
- type: Industries
  url: https://www.mckinsey.com/industries
- type: KnowledgeCenter
  name: McKinsey Insights
  url: https://www.mckinsey.com/featured-insights
- type: KnowledgeCenter
  name: McKinsey Quarterly
  url: https://www.mckinsey.com/quarterly/overview
- type: KnowledgeCenter
  name: McKinsey Global Institute (MGI)
  url: https://www.mckinsey.com/mgi/overview
- type: Hub
  name: McKinsey Digital
  url: https://www.mckinsey.com/capabilities/mckinsey-digital/how-we-help-clients
- type: Hub
  name: QuantumBlack, AI by McKinsey
  url: https://www.mckinsey.com/capabilities/quantumblack/how-we-help-clients
- type: Hub
  name: McKinsey Technology
  url: https://www.mckinsey.com/capabilities/mckinsey-digital/how-we-help-clients/mckinsey-technology
- type: Hub
  name: Leap by McKinsey (business building)
  url: https://www.mckinsey.com/capabilities/leap/how-we-help-clients
- type: Hub
  name: McKinsey Sustainability
  url: https://www.mckinsey.com/capabilities/sustainability/how-we-help-clients
- type: Tools
  name: Lilli (internal generative-AI assistant)
  url: https://www.mckinsey.com/about-us/new-at-mckinsey-blog/meet-lilli-our-generative-ai-tool
- type: Podcast
  name: The McKinsey Podcast
  url: https://www.mckinsey.com/featured-insights/mckinsey-podcast
- type: GitHubOrganization
  name: McKinsey (official)
  url: https://github.com/mckinsey
- type: GitHubOrganization
  name: Kedro (LF AI & Data, originated at QuantumBlack)
  url: https://github.com/kedro-org
- type: GitHubRepository
  name: Vizro (low-code data-visualization toolkit)
  url: https://github.com/mckinsey/vizro
- type: GitHubRepository
  name: Agents-at-Scale ARK (Kubernetes-native agentic framework)
  url: https://github.com/mckinsey/agents-at-scale-ark
- type: GitHubRepository
  name: Agents-at-Scale Marketplace
  url: https://github.com/mckinsey/agents-at-scale-marketplace
- type: GitHubRepository
  name: CausalNex (Bayesian-network causal reasoning)
  url: https://github.com/mckinsey/causalnex
- type: GitHubRepository
  name: QuantumBlack Design System
  url: https://github.com/mckinsey/quantumblack-design-system
- type: GitHubRepository
  name: qbstyles (QuantumBlack Matplotlib themes)
  url: https://github.com/mckinsey/qbstyles
- type: GitHubRepository
  name: Kedro (production-grade data and ML pipelines)
  url: https://github.com/kedro-org/kedro
- type: LinkedIn
  url: https://www.linkedin.com/company/mckinsey
- type: X
  url: https://x.com/McKinsey
- type: YouTube
  name: McKinsey & Company
  url: https://www.youtube.com/@McKinsey
- type: Careers
  url: https://www.mckinsey.com/careers
- type: Alumni
  url: https://www.mckinsey.com/alumni
- type: PrivacyPolicy
  url: https://www.mckinsey.com/privacy-policy
- type: TermsOfService
  url: https://www.mckinsey.com/terms-of-use
- type: Contact
  url: https://www.mckinsey.com/contact-us
- type: Features
  data:
  - name: McKinsey Insights and McKinsey Quarterly
    description: McKinsey Insights aggregates the firm's research and commentary; McKinsey Quarterly is its flagship business
      journal, published continuously since 1964.
  - name: McKinsey Global Institute (MGI)
    description: MGI is McKinsey's business and economics research arm, publishing macroeconomic, productivity, and technology
      research used as long-horizon source material across the firm.
  - name: QuantumBlack, AI by McKinsey
    description: The firm's advanced analytics and AI division, acquired in 2015, delivering machine learning, generative
      AI, and agentic systems engagements; produces the State of AI survey and the QuantumBlack AI report.
  - name: McKinsey Digital
    description: The firm's digital transformation practice encompassing strategy, design, technology, cloud, cyber, data,
      and product engineering, and the home of QuantumBlack, Leap, and Technology.
  - name: Lilli generative-AI assistant
    description: McKinsey's internal generative-AI consultant assistant launched August 2023, indexing 100,000-plus internal
      documents and used by tens of thousands of firm employees.
  - name: Leap by McKinsey (business building)
    description: McKinsey's venture-building and corporate-incubation practice that co-creates new digital businesses with
      clients.
  - name: Open-source AI and data tooling
    description: Public open-source releases on github.com/mckinsey (Vizro, Agents-at-Scale ARK, ARK Marketplace, CausalNex,
      QuantumBlack Design System, qbstyles) and the LF-governed Kedro project at github.com/kedro-org.
  - name: Podcasts and books
    description: The McKinsey Podcast, McKinsey Talks Operations, McKinsey on AI, McKinsey on Books, and other audio and book
      programs distributing firm thought leadership.
- type: UseCases
  data:
  - name: Corporate and Growth Strategy
    description: C-suite advisory on corporate strategy, growth, M&A, portfolio, pricing, and capital allocation.
  - name: Operations Transformation
    description: Manufacturing, supply chain, procurement, and service-operations transformation engagements.
  - name: Digital and AI Transformation
    description: End-to-end digital and AI transformation delivered through McKinsey Digital and QuantumBlack, including model
      design, MLOps, agentic systems, and adoption programs.
  - name: Generative AI Programs
    description: Generative AI strategy, use-case identification, and at-scale deployment, including internal lessons from
      Lilli applied to client environments.
  - name: Risk, Resilience, and Cyber
    description: Enterprise risk, regulatory, resilience, and cybersecurity transformations.
  - name: Sustainability and Energy Transition
    description: Net-zero transition strategy, decarbonization roadmaps, and sustainability operating-model design through
      McKinsey Sustainability.
  - name: Business Building
    description: Greenfield digital-business creation, joint ventures, and incubation through Leap.
  - name: Public-Sector and Social-Sector Engagements
    description: National, state, and city government, plus social-sector and non-profit engagements; not exposed as a public
      API.
- type: Compliance
  data:
  - name: GDPR
    description: European personal-data processing aligns with the EU General Data Protection Regulation.
  - name: SOC 2
    description: McKinsey-managed digital products and managed-services environments operate under SOC 2-type controls.
  - name: ISO 27001
    description: McKinsey's information-security management aligns with ISO 27001 controls.
  - name: Client Confidentiality
    description: All engagements operate under master consulting agreements with strict confidentiality and conflict-management
      terms; the firm's professional standards are central to its IP and engagement protocols.
- type: GitHubOrganization
  url: https://github.com/quantumblacklabs
properties:
- type: JSONLD
  url: https://raw.githubusercontent.com/api-evangelist/mckinsey-and-company/refs/heads/main/json-ld/mckinsey-and-company-context.jsonld
- type: Vocabulary
  url: https://raw.githubusercontent.com/api-evangelist/mckinsey-and-company/refs/heads/main/vocabulary/mckinsey-and-company-vocabulary.yml
- type: Plans
  url: https://raw.githubusercontent.com/api-evangelist/mckinsey-and-company/refs/heads/main/plans/mckinsey-and-company-plans-pricing.yml
- type: RateLimits
  url: https://raw.githubusercontent.com/api-evangelist/mckinsey-and-company/refs/heads/main/rate-limits/mckinsey-and-company-rate-limits.yml
- type: FinOps
  url: https://raw.githubusercontent.com/api-evangelist/mckinsey-and-company/refs/heads/main/finops/mckinsey-and-company-finops.yml
plansReconciled: false
rateLimitsReconciled: false
finopsReconciled: false
position: Consuming
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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