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Integrate Fever's global event catalog into your applications and AI assistants.

Fever event discovery MCP Server

Connect Claude, Cursor, or any MCP-compatible client directly to Fever's event catalog. Search cities, discover events, no extra setup required.

Get started in minutes

Add the MCP server URL to your client and authenticate with OAuth 2.0.

1. Configure your MCP client

Add the Fever MCP server to your client configuration. For Claude Desktop, add the following to your claude_desktop_config.json:

{
  "mcpServers": {
    "fever": {
      "url": "https://data-search.apigw.feverup.com/mcp/"
    }
  }
}

2. Authenticate via OAuth 2.0

On first use, your MCP client will open a browser window to log in. After that, everything is handled automatically.

3. Start using it

Ask your AI assistant to search for cities or events on Fever and it will use the MCP tools automatically.

Available Tools

search_events

Description

Search for events, activities, and experiences available in a specific city through Fever. Filter by date range, sort by popularity or price, and paginate through results.

Ideal for building event discovery features, recommendation engines, or letting AI assistants help users find things to do.

Parameters

ParameterTypeRequiredDescription
city_codestring | nullRequired if no coordinates3-letter city code (e.g. MAD, NYC). Can be obtained via search_cities. Ignored when latitude/longitude are provided
latitudenumber | nullRequired if no city_codeLatitude (-90 to 90). Must be used together with longitude. When provided, city_code is ignored. Example: 40.4168 for Madrid
longitudenumber | nullRequired if no city_codeLongitude (-180 to 180). Must be used together with latitude. Example: -3.7038 for Madrid
radiusinteger | nullOptionalSearch radius in meters. Only works with coordinates. Example: 5000 for 5 km. Default: no limit
querystringOptionalSearch term for specific events (default: "" for all)
sort_byenumOptionalpopularity (default), price, rating, closest_session, distance (requires coordinates)
localestringOptionalLanguage code affecting content language (e.g. en, es). Default: en
pageintegerOptionalPage number starting from 0 (default: 0)
page_sizeintegerOptionalResults per page, max 1000 (default: 15)
start_datetimestring | nullOptionalISO 8601 datetime (any timezone offset). Only sessions starting at or after this time are returned. Example: 2025-10-17T19:00:00Z
end_datetimestring | nullOptionalISO 8601 datetime (any timezone offset). Only sessions starting at or before this time are returned. Example: 2025-10-17T23:59:59Z
include_descriptionbooleanOptionalIf true, includes keywords and description per event. Useful for discovering event features and typology (default: false)

Example Response Fields

  • id, name — Event identifier and title
  • rating — Formatted string, e.g. "4.8/5 (1250 reviews)"
  • price — Formatted string, e.g. "From 25.00 EUR" or "Free"
  • location — Venue and city, e.g. "Teatro Real, Madrid"
  • availability — Sessions within the requested interval as a formatted string (or next upcoming sessions if no date filter is applied)
  • url — Direct link to the event on Fever
  • keywords, description — Only included if include_description=true
  • count, next, previous — Pagination info
search_cities

Description

Find cities where Fever operates and offers events/activities. Useful for discovering available markets, looking up city codes for use with search_events, or browsing Fever's global presence.

Parameters

ParameterTypeRequiredDescription
querystringRequiredCity name or search term. Use '' for all cities
localestringRequiredLanguage code affecting localization (e.g. en, es)
city_codestring | nullOptional3-letter city code (e.g. MAD, NYC, LON, BCN)
only_suggestedbooleanOptionalIf true, returns only top/popular cities (default: false)
extra_metadatabooleanOptionalIf true, includes additional fields: hidden and location_id (default: false)

Example Response Fields

  • city_id, city_code — Unique ID and 3-letter code (e.g. MAD, NYC)
  • city_name — Localized city name
  • location — Full location string, e.g. "Madrid, Spain"
  • is_top_city — Whether the city is a major market with high inventory
  • has_results — Whether there are actual search results (vs static suggestions)

Frequently Asked Questions

Find answers to common questions about the Fever event discovery MCP Server.

Getting Started

What is the Model Context Protocol (MCP)? MCP (Model Context Protocol) is an open standard that lets AI assistants connect to external tools and data sources. The Fever event discovery MCP Server gives compatible AI clients direct access to Fever's event discovery platform.
What AI clients are supported? The Fever event discovery MCP Server works with any MCP-compatible client, including Claude Desktop, Cursor, Windsurf, Claude Code, and other tools that support the MCP standard.
How do I get access? Simply add the Fever MCP server URL as a connector in your preferred client (such as Claude Desktop or Cursor) and complete the OAuth 2.0 authentication flow. No registration form is needed. See the Getting Started section above for step-by-step instructions.
Is it free? The Fever event discovery MCP Server is currently available at no cost. Just add the server URL to your MCP client and authenticate to get started.

Usage

What data can I access? The server exposes two tools, search_cities to find cities where Fever operates, and search_events to discover events, activities, and experiences in those cities. You can search by keyword, location, coordinates, date range, and more.
Are there rate limits? Yes, rate limits apply to ensure fair usage across all users. If you need higher limits for a specific use case, reach out to us at data-ai@feverup.com.
How fresh is the data? The data served through the MCP Server is real-time. It is updated at the same rate as the Fever platform itself, so you always get the latest events, sessions, and availability.

Support

How can I get in touch? For any extra needs, questions, or feedback about the Fever event discovery MCP Server, you can reach us at data-ai@feverup.com.