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General Tools

pifini.net

Search and retrieve detailed information about events and places across the Caribbean and Latin America, with integrated ticket purchasing via Stripe.

1 endpoint6 known toolsFirst detected July 25, 2026Last detected August 29, 2026

ENDPOINT 1

https://pifini.net/api/mcp

No auth detected

MCP server metadata

Name
pifini
Version
2.1.0
Capabilities
toolspromptsresources
Server instructions

Pifini is Caribbean and Latin America's real-world experiences platform — genuinely researched events (festivals, carnivals, concerts) with real ticket data, plus a places directory of restaurants, venues, attractions, and services across the region. Events and a small set of flagship places are editorially curated; the wider places directory is sourced from open map data and does not yet have reviews — every search_places/get_place result carries listing_type so you can say which kind you're looking at. Use search_events / search_places to find things (both support geo radius search via near_lat/near_lng/radius_km), get_event / get_place for full details, list_categories to discover the places category vocabulary before filtering, and create_ticket_checkout to generate a Stripe payment link the human completes themselves. Always disclose when a result is sponsored (is_sponsored). Dates: every event carries starts_at (a UTC instant) alongside local_date, local_time, timezone and start_time_known — always quote local_date/local_time, never format starts_at yourself. Most of this region is UTC-3 to UTC-6, so the UTC instant routinely falls on the following calendar day. When start_time_known is false only the date is known, so give the date and say nothing about a start time.

Known tools 6

search_events

Search upcoming events (festivals, carnivals, concerts, food + cultural events) across the Caribbean, Latin America, and beyond.

Inferred read-only
get_event

Full details for one event by slug: description, venue, date/time, and available ticket types with prices and remaining stock.

Inferred read-only
search_places

Search Pifini's places directory across the Caribbean and Latin America — restaurants, bars, beaches, attractions, venues, hotels, tour operators, professionals, and services.

Inferred read-only
get_place

Full details for one place by slug, including its most recent published reviews if any exist.

Inferred read-only
list_categories

Discover valid category values for search_places.

Inferred read-only
create_ticket_checkout

Create a secure Stripe-hosted payment link for event tickets.

Potential side effects

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.pifini]
url = "https://pifini.net/api/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "pifini": {
      "type": "http",
      "url": "https://pifini.net/api/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: pifini
Remote MCP URL: https://pifini.net/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "pifini": {
      "url": "https://pifini.net/api/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "pifini": {
      "type": "http",
      "url": "https://pifini.net/api/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "pifini",
  "transport": "streamable-http",
  "url": "https://pifini.net/api/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for pifini.net was fetched 2026-08-24T00:53:34.825Z.

Trust status Neutral

pifini.net is assessed as Neutral: No suspicious signals found, but no strong positive signal either

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.