Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Check if a website is visible to AI search (ChatGPT, Perplexity, Claude) and get per-gap fixes.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Download the maker’s .mcpb file
The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.
Run this in your terminal
Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry name was verified with the GitHub account epistemedeus, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.1.3) reached the registry 5 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Is your website visible to AI search? A tiny, dependency-free CLI that checks whether ChatGPT, Perplexity, Claude, and Google AI can crawl and understand your site, and tells you exactly what to fix.
npx github:epistemedeus/ai-readiness yoursite.com
No install, no signup, no dependencies. Node 18+.
Prefer a browser? Run the same check (no install) at [samedaydesk.com/tools/ai-readiness](https://samedaydesk.com/tools/ai-readiness).
The checker tells you *what* to fix. This kit gives you *everything to fix it*, ready to paste:
→ [Get the AI Search Readiness Kit ($9)](https://buy.stripe.com/9B66oI1BEdTV6116oieZ20j) · Prefer a done-for-you audit of your site? See [samedaydesk.com](https://samedaydesk.com).
We ran this checker against the homepages of 136 well-known companies across 7 industries and published the full results. Open data, free to use with attribution.
data/ai-search-readiness-2026.csvAverage score by industry (lower = harder for AI search to read):
| Industry | Avg score | n |
|---|---|---|
| Marketing agencies | 92 | 24 |
| SaaS | 88 | 24 |
| Dev tools | 86 | 17 |
| E-commerce | 85 | 19 |
| AI startups | 83 | 25 |
| Fintech | 74 | 16 |
| Healthtech | 63 | 11 |
Notable findings: Healthtech is the least AI-search-ready industry (avg 63). Klarna scored an F (38); GitHub, Chime, Ramp, Gusto, Ro, Hims and Zocdoc each scored a D. Even some AI companies struggle. Perplexity scored a C and LlamaIndex a D. Most gaps are the same and entirely fixable: JavaScript-only homepages, missing JSON-LD structured data, and no sitemap.
Per-industry write-ups: SaaS · e-commerce · marketing agencies · AI startups · healthtech.
AI search is becoming how people find things, and AI answers are pulled from a small set of pages that are crawlable and well-structured. If GPTBot is blocked in your robots.txt, or your pages have no structured data, you can be invisible in AI answers no matter how good your site looks to humans. This tool checks the technical fundamentals that decide whether you're even eligible to be cited.
| Check | Why it matters |
|---|---|
| AI crawler access | Whether GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, Google-Extended, CCBot, Bingbot are allowed in robots.txt. Blocked = invisible. |
| Structured data (JSON-LD) | AI engines use JSON-LD (Organization, FAQPage, Article) to classify and quote your content. |
| Title & meta description | Present and well-sized, so engines have a clean summary to work with. |
| Open Graph tags | Richer machine-readable context and clean link previews. |
| XML sitemap | Helps engines discover your pages; submit it in Bing Webmaster Tools (ChatGPT Search reads the Bing index). |
| llms.txt | Flagged as cheap hygiene only. Honest note: it has no proven effect on AI citations yet, so don't let anyone sell it to you as a ranking boost. |
You get a 0-100 score, a letter grade, and a concrete fix for every failing check.
$ npx github:epistemedeus/ai-readiness example.com
AI Readiness https://example.com/ Score 72/100 Grade B
PASS AI crawler access No AI crawler blocked. FAIL Structured data (JSON-LD) None found. fix: Add Organization + FAQPage + Article JSON-LD. PASS Title & meta description title 41 chars, description 132 chars WARN Open Graph tags 2 og: tags fix: Add og:title, og:description, og:image, og:url. PASS XML sitemap found WARN llms.txt none (minor: no proven citation effect)
JSON output for scripting: npx github:epistemedeus/ai-readiness yoursite.com --json
Add the checker to any Model Context Protocol client (Claude Desktop, Cursor, Cline, etc.) so you can ask your AI assistant *"is my site visible to AI search?"* and get a scored report inline. Dependency-free, runs over stdio.
{
"mcpServers": { "ai-readiness": { "command": "npx", "args": ["-y", "github:epistemedeus/ai-readiness", "mcp"] } } }
It exposes two tools:
check_ai_readiness(url): returns the score, grade, and a specific fix for each gap.generate_ai_readiness_fixes(url): generates starter Organization + FAQPage JSON-LD (pre-filled from the site) and an AI-crawler-friendly robots.txt.This standalone package is the two-tool local MCP server. Use the npx stdio config above (npx -y github:epistemedeus/ai-readiness mcp, or node mcp.js). http.js is a minimal stateless custom JSON-RPC-over-HTTP POST adapter (POST /mcp); it is not MCP Streamable HTTP, not a production remote MCP transport, and ordinary Streamable HTTP clients cannot use it as-is. There is no hosted remote MCP URL for this package.
Fail-fast on AI-search regressions by checking a URL on every deploy:
- uses: epistemedeus/ai-readiness@v1
with: url: https://yoursite.com
This CLI checks the technical basics. The questions it can't answer from your markup: *do ChatGPT, Perplexity, and Google AI actually cite you for the queries your buyers type? How do you compare to named competitors? What's the highest-ROI fix first?*
That's the AI-Search Visibility Audit from SameDayDesk: real citation testing across engines, a competitor benchmark, and a prioritized fix list as a PDF and web report, delivered same day. → [samedaydesk.com](https://samedaydesk.com/)
Like how this one is built: dependency-free, stdio plus a custom JSON-RPC-over-HTTP POST adapter, published to the MCP registry, two focused tools? We build MCP servers for your API or product the same way. (Curious how? Read the guide: How to build a dependency-free MCP server.)
Custom MCP Server: $349, delivered fast. You get a working server (stdio + optional hosted remote), wired to your API, with the registry/manifest setup done. → [get one built](https://samedaydesk.com/) (or buy directly).
Free, in-depth guides on getting your site read and cited by AI search:
MIT © SameDayDesk