cual.ai is now also an MCP search engine: the Spanish-language directory of AI connectors is here
Today cual.ai launches a new section: an MCP directory (Model Context Protocol), the open standard that connects AI agents to your applications and data. If AI tools do things, MCPs are what give them hands to act on your Google Analytics, your CRM, your email or your store — no copy-paste.
Same approach as always — explained in Spanish and organized by use case — applied to the fastest-growing corner of AI: from zero to over 22,000 MCP servers in under two years.
What the new section includes
- An MCP directory of the most-used connectors: Google Analytics, Google Ads, Meta Ads, Gmail, Slack, Notion, HubSpot, Salesforce, Stripe, GitHub, Figma, Zapier and more, each with its own profile (maintainer, authentication, hosting and price).
- Unified search: results now also surface the relevant MCPs alongside tools, news, models and courses.
- MCPs inside every category: open a category and filter between tools and MCP connectors with one click.
- A practical guide: how an MCP works and how to set one up step by step in platforms like Claude and ChatGPT, and in autonomous agents like OpenClaw or Hermes.
TUL: the first Spanish vertical MCP
Among the highlights is TUL, a connector to quote and order construction materials and tools in Colombia with AI agents — exactly the kind of MCP the rest of the (very US- and English-centric) ecosystem doesn't cover yet.
Why it matters
MCPs are the piece that turns a chatbot into a useful agent. A Spanish-language directory, with the how-to and local examples, lowers the barrier for LATAM professionals and businesses to actually start automating.
What does this mean for you?
Go to cual.ai's MCP section, search for the connector you need (say Google Analytics or Gmail) and follow the guide to set it up in Claude, ChatGPT or your agent. If you work in construction in Colombia, try the TUL MCP to quote and order materials from an agent.