What problem does it solve?
It prevents AI-generated code from using incorrect, outdated, or hallucinated external library APIs by forcing real-time documentation lookup (with cross-session caching) before any external library call is written.
Core Features & Use Cases
- Doc-first API correctness: Requires identifying the library and exact API, then using fetched signatures instead of memory.
- Cross-session research cache: Checks
.ohc/research/ for hits (reducing re-fetching) and saves Context7 results (including version and payload) on misses.
- Context7 + research mode: Enables normal Context7 queries first, with an optional research-mode retry (when a Context7 API key is available) and explicit fallbacks when docs can’t be found.
Use case: While building a Next.js feature that calls Prisma with cursor pagination, the agent will look up the correct Prisma method and parameter order, then write the code using the fetched signature instead of guessing.
Quick Start
Ask your agent to: "Use context7 /prisma/prisma to find the exact cursor-pagination API signature and then implement it in my code without guessing parameter names."