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Verified memory infrastructure for AI agents. Every assertion signed, timestamped, and cryptographically proven. Includes session continuity across Claude Code, Cursor, and Windsurf, plus Proof Meter billing attestation.

Real-time fact-checking agent. Verifies claims and URLs against live web sources. Returns CURRENT, OUTDATED, DISPUTED, or UNVERIFIABLE verdicts with confidence scores and what changed. x402 payments on Base.

Provides AI agents access to Medicare coverage policies, prior authorization requirements, and medical code lookups (CPT, HCPCS, ICD-10, NDC) through the Verity healthcare API.

Enables interaction with Google Ads accounts through the Model Context Protocol, specifically tuned for local service businesses. Provides account health scoring, search term waste analysis, and diagnostic insights without requiring GAQL knowledge.

AI-powered agent that integrates with coding assistants via MCP to automate web testing workflows, allowing developers to record tests, execute regression testing, and discover test flows using natural language prompts.

Provides AI clients with access to proven social media hooks, copywriting frameworks, KOL archetypes, and real-time trending content across platforms like Twitter, Instagram, LinkedIn, TikTok, YouTube, and Facebook to humanize and optimize marketing content.

A production-grade MCP server that turns natural language intent into fully-architected, accessible, production-ready UI code through a 7-step agentic pipeline.

Enables Claude to interact with WhatsApp Business for reading, searching, and sending end-to-end encrypted messages. It supports conversation management, message summarization, and action item tracking while maintaining data privacy through a local private key and a user-controlled Neon database.

Enterprise-grade AI-powered helpdesk MCP server for Swiss SMEs, enabling autonomous ticket orchestration via natural language with Supabase persistence and revDSG compliance.

Enables AI assistants to access YouTube video data including information retrieval, captions/transcripts, AI-powered summaries, screenshots, comments, and video search through the VidCap API.

An MCP server that automatically transcribes video content and burns stylized captions directly into the video file. It leverages the Groq Whisper API for fast transcription and supports multiple visual styles tailored for social media and professional content.

Provides video enhancement capabilities through MCP tools for creating, monitoring, and synchronously processing video enhancement tasks with configurable resolution options.

An MCP server that turns Claude into a hands-on video editor for short-form videos, enabling music generation, script writing, voiceover synthesis, and video stitching with FFmpeg. It also features a text-to-documentary skill that converts long-form text into structured documentary videos.

An async video generation MCP server with multi-provider support. Currently in skeleton phase with stub implementations, it will eventually enable video generation through providers like Veo 3.1, Grok Imagine Video, and Sora 2 Pro.

Enables natural language search and interaction with video content through three tools: ingesting videos to a Ragie index, retrieving relevant video segments based on queries, and creating video chunks from specific timestamps.

A Model Context Protocol (MCP) server that provides comprehensive video tools: transcript retrieval, video downloading, and automatic subtitle generation using AI speech-to-text. Works with YouTube, Bilibili, Vimeo, and any platform supported by yt-dlp.

Enables AI agents to search, analyze, and extract insights from YouTube videos including transcripts, visual frames, and benchmarks without requiring API keys. Supports semantic search across playlists, sentiment analysis, and visual content indexing with automatic fallback chains for reliable access.

YouTube intelligence layer for AI agents. 41 tools across 10 modules ; search, explore, transcripts, comments, visual search, analytics, and more. Zero config.

vidlizer pulls frames out of any video, image, or PDF using ffmpeg, sends them to a vision LLM, and returns a flow array — one entry per scene. Each entry tells you what happened, who was on screen, what text was visible, and what changed. If the video has audio, it transcribes it with Apple MLX Whisper and merges the speech into each step.

Provides access to Vidu's video generation models for creating high-quality videos from text, images, and reference content. It enables users to generate creative video content directly within MCP-compatible applications like Claude and Cursor.