// may the 4th be with you⚔️

McDonald's China

by open

McDonald's China: check McDonald’s China events, ask about McDonald's China coupons, promo codes and offers — event cale

Integrates with McDonald's China for event calendar, coupon inquiries, and redemption.

github stars

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

China-specific McDonald's integrationDirect coupon redemption

best for

  • / McDonald's China customers managing offers
  • / Apps integrating Chinese fast food promotions
  • / Automated coupon redemption systems

capabilities

  • / Browse McDonald's China event calendar
  • / Search available coupons and promotions
  • / Redeem McDonald's China coupons
  • / Query promotional offer details

what it does

Connects to McDonald's China services to check events, view available coupons, and redeem offers directly through the app.

how to install

You can install McDonald's China in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.

license

MIT

McDonald's China is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

FAQ

What is the McDonald's China MCP server?
McDonald's China is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for McDonald's China?
This profile displays 41 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
MCP server reviews

Ratings

4.641 reviews
  • Sakura Mensah· Dec 24, 2024

    Strong directory entry: McDonald's China surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Emma Haddad· Dec 4, 2024

    Useful MCP listing: McDonald's China is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Emma Chawla· Nov 23, 2024

    McDonald's China is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Sakura Kim· Nov 15, 2024

    McDonald's China is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Rahul Santra· Nov 11, 2024

    McDonald's China has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Isabella Okafor· Oct 14, 2024

    We wired McDonald's China into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yusuf Smith· Oct 6, 2024

    We evaluated McDonald's China against two servers with overlapping tools; this profile had the clearer scope statement.

  • Pratham Ware· Oct 2, 2024

    According to our notes, McDonald's China benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Chen Mehta· Sep 25, 2024

    We wired McDonald's China into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Sakshi Patil· Sep 17, 2024

    I recommend McDonald's China for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

showing 1-10 of 41

1 / 5