This server integrates with the Ticketmaster API to provide AI agents with real-time concert and event data, enabling dynamic fetching and formatting for ease of interpretation.
Provides tools for discovering events at Madison Square Garden via the Ticketmaster API, returning structured data with event details like name, date, price, and ticket purchase links.
Enables natural-language event searches through Google Events, returning structured JSON with dates, venues, ticket links, and map details, plus support for localization, filters, and pagination.
A server that allows AI agents to query and retrieve information about upcoming events at Berghain nightclub through a DynamoDB-backed FastAPI service.
Discovers events from Luma's public feed and subscribed calendars, with distance filtering, category search, and ICS export. No API key required for basic discovery.
A small MCP server that scrapes and returns semantic event data from configured sources, supporting tools to list sources, validate scrapers, and retrieve events by time period or date.
MCP server that provides live event search, explainable recommendations, night planning, and agentic ticket purchase with safety rails, using Dizko's event inventory.
MCP server that exposes recorded family stories as read-only tools, enabling Alexa+ to retrieve and deliver voice stories to children through natural language.
YouTube Skills (TranscriptAPI) is the production API for extracting, searching, and analyzing YouTube content at scale. While other tools break when YouTube changes or cap you at 100 requests/day, TranscriptAPI serves 15 million transcripts monthly at 49ms median response time.
A production-ready MCP server for the Pexels API that lets AI assistants search and fetch photos, videos, and collections. It covers every documented Pexels endpoint with token-efficient output and license-aware credits.
A local stdio MCP server that gives Claude (or any MCP client) full programmatic control over a single YouTube channel, including video upload, channel management, comments, analytics, and more.
Enables AI assistants to interact with the M-Team private torrent tracker API for searching resources, retrieving torrent details, and downloading torrent files. It provides a bridge for Model Context Protocol clients to manage and access private tracker content through natural language.
A Model Context Protocol (MCP) server that provides Spotify integration, allowing AI assistants and applications to interact with Spotify's music streaming service.