Connect-MCP

Azul CR — Costa Rica Local Business Data

cr.azul/azul-cr · v2.1.0

Costa Rica local business directory — verified businesses, jobs, events, specials. Read-only.

MCPremoteno credentialsAI & LLMJobs & HRCRM & sales

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 6 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 88/100

What it does: 6 tools · 5 read, 0 write · CRM & sales, AI & LLM

Test call get_events: worked (1,974 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +3
  • Read/write annotations: 0
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://azul.cr/api/mcp

Tools

6 tools listed at last check
  • search_businesses Search for businesses in Costa Rica by keyword, city, or industry. Returns business name, city, industry, hours, tier, and a citation-ready URL on azul.cr. Contact details (WhatsApp/phone) require a keyed connection.
  • get_business Get public details of a specific business by its slug. Returns name, about, hours, tier, rating, and citation URL. WhatsApp/phone/address require a keyed connection.
  • find_jobs Search for job postings in Costa Rica. Returns title, employer, type (full/part/contract), salary, city, and URL. WhatsApp apply link requires a keyed connection.
  • get_events List upcoming events in Costa Rica. Returns title, date, venue, city, organizer, and URL.
  • get_specials List active deals and offers in Costa Rica. Returns title, discount, business, city, expiry, and URL. WhatsApp requires a keyed connection.
  • semantic_search AI-powered semantic search across all Azul CR content (businesses, jobs, events, specials). Understands natural language queries like "kid-friendly outdoor activity near the beach" or "dentista que hable inglés en Liberia". Uses bge-m3 vector embeddings for meaning-based matching, fused with keyword

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