We’ve added chat support to Context7 After seeing how useful it was at Upstash for getting real-time feedback, we wanted to bring the same experience here Powered by @plainsupport

1.4M downloads on npm last month for the Context7 MCP server 🤯🚀 And this doesn’t even include usage from our remote server 👀

New Context7 architecture update: Promising early results: Avg context size 3000 → 1000 Benchmark score 7.0 → 8.3 Now focusing on reducing latency & cost from LLM usage.

Full article 👇 https://t.co/JUlg4fl3Ia

Context7 pulls documentation from thousands of sources. Some try to inject malicious code. Here's how we prevent that: ◆ Auto-detect code injections ◆ Score & benchmark every library's docs Full blog article w/ examples below 👇

About Context7’s bloated context issue: We’re testing a new architecture where the user MCP pulls docs with minimal tokens and tool calls. A sub-agent now handles library selection + content curation, so the Context7 MCP behaves more like a chat API: ask a question → get the

Big update: You can now claim library ownership on Context7! 🎉 ◆ Add a context7.json file to your repo ◆ See which topics people ask about most ◆ See usage metrics & country distribution 90-second demo 👇

Context7 Tools is coming soon. Tools → ideal for programmatic usage and agents. MCP → ideal for end-users and developers.

we rebuilt the rules tab from scratch at @Context7AI it's a powerful feature not many are aware of 👀

published a brand page for @Context7AI a lot of people were asking for it, so here you go

your code review agents don't need to make up APIs @coderabbitai + @context7ai means reviews pull from actual up-to-date docs instead of guessing

Shipping soon in Context7: semantic dedup. We automatically detect near-duplicate snippets and keep only the best one for your LLM.

Just added chat history too!

New in Context7! You can now chat with any library’s docs — instantly.

I think @Context7AI might be the most useful MCP server currently.

Just pushed context7.json setup for pgflow! 🚀 Now AI assistants (Claude, etc) can help you use pgflow more effectively! Add @Context7AI MCP to your AI Coding Agent and ask it about pgflow. Thanks @Yidir for the suggestion

All the code you need to add @context7ai to @aisdk👇

People ask how Context7 will make money. Free for developers. Companies pay for teams, and extra security. Public repos → free Private repos → paid Teams → paid Advanced security & on-prem → enterprise

Switched Context7 from token-based to page-based retrieval — here’s what changed: ✅ 35% fewer tokens (5.4K → 3.5K) ⚡ 19% faster responses 🎯 Accuracy maintained at 7/10 630 questions benchmarked. Same quality — dramatically better efficiency. Results below.

Emdash now supports @Context7AI MCP. Context7 improves coding agent performance by indexing all of the coding documentation and makes them readily available for fetching.