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`.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles McKinsey & Company the way a machine reads it — 21 machine-readable artifacts, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — McKinsey & Company scores 28.1/100 (emerging), with a separate agent-readiness read of 7/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile McKinsey & Company
Each block below is one kind of artifact we hold for McKinsey & Company. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Pricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Mckinsey And Company Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Features 8
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
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.
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Semantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Mckinsey And Company Context
JSON-LDSecurity Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Use Cases 8
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
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
Every other property we hold for McKinsey & Company — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Build 10
SDKs, sample code, and the tooling you integrate with
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Access & Security 2
Authentication, authorization, and security posture
Learn 1
Tutorials, courses, talks, and written guidance
Operate 1
Status, limits, changes, and where to get help
Commercial 2
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 within the panel for all 13 ·
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