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.
A Facebook/Messenger MCP server that lets AI agents read and engage with profiles, pages, posts, comments, groups, Messenger conversations, notifications, and events using the user's existing browser session cookies — no Graph API app, tokens, or browser automation required. It supports multi-account and Page switching, write operations (posting, commenting, messaging) with per-identity limits and cooldowns, and honest error reporting where Meta has decommissioned cookie-era endpoints.
Enables interaction with the official Facebook Graph API, providing tools for managing Pages, Posts, Comments, Reactions, Media, Events, Insights, and credential storage/validation.
Enables users to generate AI-powered music videos by analyzing visual content to compose matching soundtracks using Google's Lyria model. The server automatically merges audio and media into playable video artifacts that can be rendered inline within MCP-compatible chatbots.
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.
Score your agent's governance (0-100), lint MCP tool definitions, and estimate costs across all major models. Free diagnostic tools with no API key needed. Expert skill files on governance, economics, and system architecture available with free tier.
MCP server for explicitly authorized Truth Social access, offering read-only tools for profiles, timelines, search, and notifications, with optional write operations enabled only under explicit authorization and confirmation.
Enables structured learning with a verified loop: define goals as observable claims, learn through teach-lab-test-gate per claim, and get independently graded by an adversarial examiner to ensure genuine progress.
A platform-agnostic MCP server that connects Claude to campaign data, institutional knowledge, and historical performance for paid media teams, enabling automated analysis, reporting, and debugging.
Enables scraping of LinkedIn, Facebook, Instagram profiles and Google search via a Model Context Protocol server, allowing AI assistants to fetch social media data and search results.
Enables access to the Facebook Scraper3 API to extract data from Facebook profiles, pages, groups, and the marketplace. It provides comprehensive tools for searching posts, people, and events, as well as retrieving detailed metadata for comments, reactions, and media.
Enables downloading content from various social media platforms through a unified API. Provides a single tool to download media from multiple social networks using the Social Download All In One service.
MCP server wrapping a mock internal ops platform (FastAPI + SQLite) so Claude Code can read and write employee, project, task, and time data through natural language.
MCP server for managing i18n translation files — gives your AI agent full control over your app's translations without dumping entire locale files into context.
Enables AI agents to interact with ServiceNow through MCP, providing schema inspection, record CRUD, attachments, audit, Flow Designer, and platform investigations with policy-guarded access.