Find US local pros and check their Loppee verification class, license and registration checks, and identity-verified reviews from any AI assistant.
Cursor is an AI-first code editor. It loads MCP servers from its settings and lets its agent call their tools as part of a task.
This guide connects Loppee MCP to Cursor through MewCP, so Cursor can use Loppee MCP's 5 tools, like lookup_business, get_trust_card and get_business_reviews.
Loppee MCP needs no credentials, but every call still runs through MewCP: scoped, checked and logged like any other.
More apps
Crawl websites and extract clean structured data optimized for AI applications and automation. Collect content from the web at scale while maintaining high-quality outputs.
Extract structured data from websites and public web pages. Fetch content, parse information and transform online data into formats that can be consumed by applications, agents and workflows.
TinyFish MCP for running AI-driven browser automation tasks, deep web research, persistent browser login profiles, remote CDP browser sessions, and agentic wallet payments.
Scrape, extract, and understand the web, plus identify any company from a domain, email, name, or transaction string. This MCP server exposes Context.dev's API for web scraping in multiple formats (raw HTML, Markdown, screenshots, images, sitemaps, and web search), schema-driven structured data extraction, design-system extraction (styleguides and fonts), and brand intelligence lookups. It's built for AI agents that read, summarize, or monitor web content, for enriching CRM, KYC, or fintech pipelines with company and brand data, and for extracting a competitor's design system or structured product and pricing data at scale.
Other clients
Loppee MCP works the same way in every client below. Pick yours for its own guide.
Free to start.
Scope access to the exact Loppee MCP tools and accounts you allow, work and personal side by side. Anything outside that scope is refused at call time, even when the model asks for it.
Each call is logged: what ran, on which account, and whether it worked. Failures come back structured, so the agent knows whether to retry instead of guessing.
Every app sits behind one secure MCP URL, and there is no server for you to deploy or keep running. Add an integration in the dashboard and it is live on the next call, with no config to change and no new credentials to wire up. Tools load only when a task needs them, so your agent stays fast and focused however many apps you connect.
A browser window opens the first time the client connects. Sign in and approve access. No API key needed.
Start a new chat and ask: "List the tools you can use from MewCP." You should see your connected apps.
Use this when the user names a business and wants its Loppee Registry match. Returns exact and genuine-prefix name matches with stable ids, coarse public city/state, and truthful Verified, Listed, or Registry disclosure. It does not perform category discovery, accept or return caller location, or return a street address or ZIP.
Use this when a business is already identified and the user wants its public Loppee Trust Card. Returns the exact business status, disclosure, coarse public city/state, public facts, review context, and citation without account authority, street address, ZIP, or signed media links.
Use this when the user wants the public customer reviews for one Loppee business id. Supports pagination and star-rating filters, preserves reviewer and interaction labels, masks reviewer identity, and changes nothing.
Use this when the user asks why a known published business is or is not recommendable on Loppee. Returns the published class, disclosure, recommendation basis, commercial-neutrality statement, and citation without exposing private weighting.
Use this when the user wants a side-by-side comparison of two to twenty known published Loppee business ids. Returns each business's exact class, disclosure, review context, and citation; unknown or unavailable ids are listed as unresolved rather than fabricated.
