The context layer for AI coding agents, over MCP

Stop your AI agent guessing at APIs.

ContextCove curates your docs into always-fresh Context Packs your coding agent queries over MCP, with citations you can audit. So it writes code against the real API, not a guess.

Join the Private Beta See how it works

Your agent queries the library, not the web.

One call searches the whole curated pack and returns the exact passages: ranked, sourced, and re-crawled to stay current. No tab-juggling, no stale answers, no guessing.

cursor · agent

# agent needs the current Stripe webhook API

→ contextcove.search_pack("verify a stripe webhook signature", pack: "stripe")

3 passages · searched 1,800+ pages · re-crawled 2 days ago

1Verifying webhook signatures↻ 2 days ago

stripe.webhooks.constructEvent(body, sig, secret). Pass the raw body, never the parsed JSON.

docs.stripe.com/webhooks

2Handling a bad signature↻ 2 days ago

constructEvent throws on a mismatch. Catch it and return a 400 so Stripe retries.

docs.stripe.com/webhooks/signatures

3Raw body in Express / Next↻ 5 days ago

Disable body parsing (express.raw) so the signature matches the bytes Stripe signed.

docs.stripe.com/webhooks/raw-body

Your agent reads the exact, current docs. No web search, no stale Stack Overflow, no guessing.

The accuracy problem

Stale docs are why your agent suggests dead APIs.

A model trains on a snapshot, then the libraries move on. Pasting docs by hand only swaps one problem for another. ContextCove keeps a clean, current copy your agent can actually rely on.

Without ContextCove

Frozen at training time

The model only knows a library as it was at its cutoff, so it confidently suggests APIs that changed months ago.

Result: deprecated code.

Bloated copy-paste

Pasting raw doc pages drags in nav bars, cookie banners, and ads that crowd out the actual answer.

Result: lost in the noise.

With ContextCove

Curated to clean prose

Heuristic + LLM parsing keeps the real prose and code and drops the page clutter, scoped per project.

Result: focused context.

Re-crawled on a schedule

Packs re-index your sources automatically, so they track the live docs instead of drifting out of date.

Result: current, every time.

Connect once. Your agent does the asking.

No new tool to learn and no copy-pasting. Set a pack up once and your agent pulls what it needs in the background.

Build a pack

Group the docs for a project's stack into one Context Pack.

It stays clean and current

ContextCove strips the boilerplate and re-crawls on a schedule, so a pack never drifts from the live docs.

Your agent queries it

Paste one MCP endpoint into Cursor or Claude Code. From then on it asks on its own. You just direct it.

Bring your docs in, your way.

The browser extension is just one convenient on-ramp to capture single pages. Add documentation from any reference source.

Paste a URL or sitemap

Point ContextCove at any developer documentation site. It crawls, cleans, and indexes the sitemap automatically.

Drop Files & Drive

Upload PDFs, raw Markdown libraries, docx files, or sync a Google Drive folder straight into your pack.

Clip with the Extension

Found a useful reference guide? Click or press Cmd+Shift+S to clip the clean content instantly.

Plugs into the AI coding agents you already use

Claude CodeCursorAntigravityAny MCP client

On the roadmap: shareable team packs and deep integrations with Notion, GitHub, and Slack.

Private Beta

Get early access to ContextCove

We're onboarding developers into a private beta. Build Context Packs, wire them into your AI agents over MCP, and help shape the future of model context.