Context7

About Context7

## Intro Context7 feeds AI coding agents current, version-specific documentation and code examples for the libraries you use. Coding assistants are trained on older snapshots of the web, so they often suggest outdated functions or invent ones that never existed. Context7 fixes that by letting the agent pull the right docs at the moment it writes code. It is built by Upstash, the serverless database company, and has become a common add-on for people building real projects with Claude Code and Cursor. ## Key features - **Current, version-specific docs.** Agents get documentation and examples that match the library version you are actually using, which cuts down on broken code. - **Works with popular agents.** The site names Claude, Codex and Cursor, and it connects through MCP clients, so it slots into tools many vibe coders already use. - **Search and Context APIs.** Developers can call the APIs directly to find a library and pull relevant docs into their own tools. - **Private repositories.** Paid plans can parse private repos, so your agent can also read your team's internal docs and code. - **Team access controls.** Teamspaces, access control and OAuth sign-in let a team share one setup, with SSO and self-hosting on Enterprise. The idea is simple but the impact is real. Much of the frustration in AI-assisted coding comes from the model confidently using an API that changed months ago. Giving it the current docs at the right moment removes a whole class of errors, which means fewer rounds of pasting error messages back into the chat. Setup is light, and once connected it works in the background whenever the agent needs a library reference. ## Best for Context7 suits anyone building with Claude Code, Cursor or similar tools, especially when working with fast-moving frameworks where training data goes stale quickly. If your AI assistant keeps writing code for an older version of a library, this is the fix. Teams can use Pro to share private docs with every member's agent. It is less useful if you mainly use no-code builders that never show you code, or only work with very stable, well-known libraries that models already know well. ## Pricing summary The Free plan covers public repositories and 1,000 API calls a month, with 20 bonus calls a day after that. Pro is $10 per seat a month with 2,000 calls per seat, private repos and team features, plus $5 per 1,000 extra calls. Enterprise is custom and adds SSO, SOC 2 and self-hosting. ## Quick verdict Context7 is a small tool that makes AI coding noticeably more reliable. For anyone vibe coding real projects, the free plan is an easy add and the payoff is fewer hallucinated functions and less debugging. Upgrade to Pro only if you need private repos or more calls than the free 1,000 a month. Heavy solo users should keep an eye on overage costs.

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