# Preferly Muse connector

From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta.

## Preferly

Checks whether AI assistants can read, cite and recommend a website

- Record: https://musedirectory.ai/connector/preferly
- Category: Marketing & Ads
- Developer: Preferly (https://www.preferly.ai/tools)
- Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
- Health: Working, 764ms, checked 2026-11-14T15:36:32Z
- Endpoint: https://www.preferly.ai/mcp
- Auth: No account needed; Pricing: unknown
- Screening: Screened, no issues found (2026-11-14T16:01:14Z)
- Source: Found in the official MCP Registry (ai.preferly/preferly) https://registry.modelcontextprotocol.io/v0/servers?search=ai.preferly%2Fpreferly

Reads a public site's robots.txt, homepage, llms.txt and schema.org data. Muse can report which AI crawlers are blocked, whether business details like hours and prices are readable, what structured data is missing, and what AI models say about the business.

Example request: "Check whether AI assistants mention my bakery when people ask for recommendations in my city."

How to connect: Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Preferly to help me. It is a free service with an MCP server at https://www.preferly.ai/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Tools:
- check_ai_crawler_access: Use this when the user wants to know whether AI crawlers and AI tools can access a specific website. It reads the site's robots.txt and reports, for 13 AI crawlers (including GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, PerplexityBot and Google-Extended), whether each is allow
- check_llms_txt: Use this when the user asks whether a website has an llms.txt file or whether it's set up correctly. It fetches /llms.txt and reports whether it was found, its size and title, and every place it doesn't follow the llmstxt.org format (missing H1, no summary line, links that aren't
- check_business_schema: Use this when the user asks whether a website's structured data (schema.org JSON-LD) describes the business correctly. It reads the homepage's JSON-LD and reports the business type it found (Organization, LocalBusiness or a subtype), which business fields are present, missing or 
- check_business_info: Use this when the user asks whether AI tools can read a business's details from its website. It reports whether the business name, phone number, email, address, opening hours and prices are readable as text in the page, only appear after scripts run, or weren't found, on the home
- generate_ai_robots_txt: Use this when the user wants robots.txt lines that control which AI crawlers may read their website. By default it lets AI search and assistant crawlers in (so the site can appear in AI answers) and keeps AI training crawlers out; either can be switched. Optional paths are kept p
- quick_ai_visibility_check: Use this when the user asks what AI assistants say about a specific business, or whether AI tools mention or recommend it. Given the business's public website, it reads the site (robots.txt, the homepage and up to 2 contact, booking or pricing pages), writes 3 typical customer qu

Screening checks:
- MCP handshake: pass (Answered in 215ms)
- Domain against threat feeds (Cloudflare security DNS): pass (www.preferly.ai not flagged)
- Published packages against the OSV malicious-package database: n/a (No npm or PyPI package published)
- Hidden instructions or invisible characters in tool text: pass (6 tools read, nothing found)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (No redirects off the domain)
- AI review of purpose and tool behavior: pass (read-only fetches of public pages; third-party AI model queries in one tool)