Introducing Docs7 - the best way to serve documentation to agents. ◆ Automatically serve clean, agent-readable docs ◆ Native WebMCP and skills support ◆ Deep insights into AI traffic & searches We make agents love your product 👇

Your docs go live on Docs7 and reach 100,000+ active developers using Context7. Auto-prevent hallucinations with smart suggestions on 404 pages, get granular control over the content agents see, and much more.

lets fucking go

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okay, making docs specifically for ai agents is pretty smart 👀 cleaner docs + WebMCP + skills support sounds like a much better setup for products that actually want agents using them curious how the traffic insights lok in practice.

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goated

we appreciate you 🫡

This is really good. Love it.

Ok this is pretty great!

Agent readable docs is a smart move

Hey, if you want to test Docs7’s WebMCP implementation, let me know. I built the first evaluation platform for WebMCP that runs thousands of test cases across many LLMs.

The traffic insights angle is what I'd have killed for. Agent hallucinating Supabase calls, no way to tell if it hit a stale page or just searched wrong. Two completely different fixes.

does webmcp cover docs behind auth

not right now. it only covers public docs.

Or simply clone the repo

Clean, agent-readable docs are such a pain point. How do you handle versioning and keeping the docs in sync with code changes?

Ha. Fucking love this 👏

If WebMCP and a skill expose overlapping guidance, how does an agent know which source should win when they disagree?

This video is amazing

@G_Programming mira Alan que tal?

@grok la diff entre ça et le mcp context7 qu’on connait tous ?

Do agents follow the 404 suggestions, or keep retrying the URL they invented?

Great work. Collaboration on documents between people and the agent is very important.

if an agent pulls docs mid-task, does that payload re-enter context on every turn after? that's what actually cost me — not the fetch. the retrieval was rounding-error cheap, the re-entry was the bill.