Context7 supplies AI coding tools with up-to-date, version-specific documentation and code examples for libraries. Rather than relying on whatever a model memorized during training, your editor or agent can pull the current docs for the exact library version in use through a Search API and a Context API. The Free plan costs $0 and covers public repositories with 1,000 API calls per month, while Pro is $10 per seat per month with private repositories, team collaboration and 2,000 included calls per seat. Enterprise adds SOC-2, SSO and self-hosting at custom pricing.
Context7 targets developers who code with AI assistants and are tired of outdated or invented API usage. Individual programmers can start on the Free plan, small teams can share private documentation on Pro, and larger organizations with compliance requirements can look at Enterprise. Engineering leads who want every teammate's assistant working from the same current references will find the team features relevant, and library authors can add their own docs so users get accurate suggestions.
Typical scenarios include asking an AI editor to write code against a fast-moving framework and getting snippets that match the installed version, keeping assistants accurate on private internal libraries, and adding docs for a package that is not yet indexed. It is described as working with Cursor, Codex, Antigravity and other AI coding tools. Free users who hit the monthly limit are blocked, apart from 20 bonus API calls per day, while Pro users are never blocked and pay $5 per 1,000 extra calls. Parsing private repositories is billed at $5 per 1M tokens.
