1. Context7
Up-to-date library documentation and code examples for LLMs, straight from the source.
Why: Pulls version-correct documentation for the exact libraries in your project; the fastest fix for outdated-API answers.
Stop your agent guessing from stale training data: connect live docs, search and scraping.
You end up with: Your agent answers library questions from current docs and can pull any web page you name into context.
Up-to-date library documentation and code examples for LLMs, straight from the source.
Why: Pulls version-correct documentation for the exact libraries in your project; the fastest fix for outdated-API answers.
Neural web search for agents — find pages by meaning, not keywords.
Why: Meaning-based web search when the question is broader than one library — error messages, comparisons, current events.
Turn websites into clean markdown for your agent — crawl, scrape and search.
Why: Turns any specific page you already know about into clean markdown the agent can read.
Setup instructions and compatibility are compiled from publisher docs and community reports, not hands-on testing, unless a step is marked Tested. Check the source before relying on a setup.