Discover and connect with local services, restaurants, and nearby businesses
Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Rockhopper
The audit trail and governance layer for every file your team and your AI touch.
Robutler
Build, remix, and run apps with agents, together
atlasFindings
Search, investigate, and act on Atlas data
Terminal49
Track ocean shipments and containers
Migma
Run your entire email marketing from Claude. Migma designs on-brand campaigns, sends when you approve, and gets better with every send.
EasyPost
Make smarter shipping decisions, instantly
Yelp is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
I recommend Yelp for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We wired Yelp into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Yelp reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Useful MCP listing: Yelp is the kind of server we cite when onboarding engineers to host + tool permissions.
We evaluated Yelp against two servers with overlapping tools; this profile had the clearer scope statement.
According to our notes, Yelp benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Yelp is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Yelp is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Strong directory entry: Yelp surfaces stars and publisher context so we could sanity-check maintenance before adopting.
showing 1-10 of 63
Share your MCP server with the developer community
Select a client to integrate this server.
Manual configuration
{
"mcpServers": {
"yelp": {
"url": "https://mcp-anthropic.yelp.com/claude/mcp"
}
}
}Sign in: Not required.
Discover and connect with local services, restaurants, and nearby businesses
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.