Find proven section examples
Ask for hero, pricing, FAQ, comparison, or signup examples filtered by industry and locale.
Example prompt
Find AI hero examples with strong social proof.
MCP install
Web Anatomy comes in two parts: free skills your agent installs, and a private-beta MCP server that gives it live market data. Add the skills in one command; connect the MCP when you want real examples and URL benchmarks.
Streamable HTTP · Bearer token · 5 workflows · webanatomy.ai/mcp
What you install
Start with the skills, no signup and no token. Add the MCP server when you want your agent pulling real screenshots, scored sections, and live URL comparisons from the library.
Named plays your agent calls. They work on their own, with no account and no token.
Run in your project
npx skills add GabrielAmz/web-anatomyWorks in Claude, Cursor, Lovable, v0, and any agent that installs skills.
A live link to the benchmark library so your agent can search 3,500 scored sections, fetch real screenshots, and benchmark a live URL on demand.
Private beta: request access in the dashboard, we approve within the hour, then you generate a token.
Request access, generate a token, and copy your guided prompt or manual config, all in the dashboard.
Add to your IDE
Pick your IDE or agent and copy its MCP config. The snippet holds a token placeholder: generate your private beta token from the dashboard and paste it in.
Where it goes: Terminal → claude mcp add (user scope)
claude mcp add --scope user --transport http webanatomy https://www.webanatomy.ai/mcp --header "Authorization: Bearer <paste-your-private-beta-token-here>"Use the user-level (global) config so the token is never committed.
Access flow
Open the MCP dashboard, sign in, and request private beta access for your account.
A Web Anatomy admin checks the request. Once approved, token generation unlocks in your dashboard.
Generate the token once, then copy one install prompt customized with your private token and MCP endpoint.
Paste the prompt into Codex, Claude, Cursor, or another MCP agent to search benchmark sections and fetch examples from Web Anatomy.
Use cases
Use the MCP when your agent needs real website evidence before it recommends, edits, or writes.
Ask for hero, pricing, FAQ, comparison, or signup examples filtered by industry and locale.
Example prompt
Find AI hero examples with strong social proof.
Paste your section or screenshot and ask your agent to compare it against stronger examples before editing copy or layout.
Example prompt
Improve this pricing table using Web Anatomy examples.
Give your agent a live page or screenshot and ask for gaps, stronger references, and prioritized fixes.
Example prompt
Benchmark our homepage against top AI landing pages.
Ask for the output in chat, a Markdown file, or an HTML report so your team can act on it.
Example prompt
Create a short .md report with examples and fixes.
FAQ
The dashboard handles access and token generation; your agent handles local setup from the copied prompt.
After approval, generate it in the MCP dashboard. The install prompt is customized with that one-time token.
Keep it in ignored local config, such as an env var or $HOME/.webanatomy/webanatomy_mcp_token. Do not commit it.
It returns public-safe benchmark sections, filters, and selected section details. It does not return raw scores, marker coordinates, service-role access, or internal database fields.
Use the copied prompt with Codex, Claude, Cursor, or any coding agent that can install skills and configure an MCP server through mcp-remote.
Keep using visual libraries for browsing. Web Anatomy is for grounding your coding agent in benchmark-backed examples it can call while working.
Ready to connect
Use the MCP dashboard to request private beta access, generate your token, and copy the install prompt for your coding agent.