MCP server for trend-pulse, an agentic trend intelligence platform that fetches and analyzes trending topics from 37 sources, provides search, historical data, and lifecycle prediction via 29 tools.
Enables AI-native access to Swiss cultural heritage data from SIK-ISEA (artists), Nationalmuseum (collections), and Nationalbibliothek (bibliography) via MCP tools, without authentication.
A local MCP adapter collection for social media channels, currently supporting Douyin with tools for channel startup, login assistance, messaging, and notifications.
An MCP server for image and video processing that allows AI assistants to resize, convert, compress, and analyze media files locally without API keys. It supports a wide range of formats and provides tools for tasks such as metadata removal, frame extraction, and video conversion.
MCP server for media stack management — movies/TV, audiobooks/ebooks, and music. Integrates with Jellyseerr, Radarr, Sonarr, Jellyfin, Prowlarr, qBittorrent, Audiobookshelf, and Navidrome.
Enables an AI agent to interact with your personal Telegram direct messages, allowing it to read unread messages, fetch chat history, and send replies.
Enables AI agents to manage and publish content across multiple Chinese social media platforms including Xiaohongshu, Douyin, WeChat, Weibo, Zhihu, and Bilibili.
An MCP server that provides structured analytics for email data by extracting signals like topic, tone, and urgency using a local LLM. It allows users to query email distributions, sender patterns, and specific signals through a SQLite-backed interface.
Enables users to preprocess, analyze, and visualize CSV data through comprehensive tools for data manipulation, statistical analysis, and graph generation.
MCP server for measuring web performance with Google PageSpeed Insights, providing median scores with uncertainty and real-user data. It offers tools for scores, diagnostics, and comparisons to identify regressions.
MCP server for extracting transcripts from Instagram videos using AssemblyAI, enabling timestamped transcriptions with speaker labels through natural language.
Enables users to manage Sonarr and Radarr instances through natural language, allowing search, addition, deletion, and monitoring of TV series and movies.