Video Edit (MoviePy)

Extracts text from videos and audio files across platforms like YouTube, Bilibili, TikTok, Instagram, Twitter/X, Facebook, and Vimeo using Whisper speech recognition for transcription, content analysis, and accessibility improvements.

R

Reddit

Remote

Integrates with Reddit's API to fetch and retrieve diverse content including posts, comments, and subreddit information for data analysis and content curation.

ElevenLabs

Official

Unleash powerful Text-to-Speech and audio processing with the official ElevenLabs MCP server. It enables MCP clients like Claude Desktop, Cursor, and OpenAI Agents to generate speech, clone voices, transcribe audio, and create unique sounds effortlessly. Customize voices, convert recordings, and build immersive audio scenes with easy-to-use APIs designed for creative and practical applications. This server integrates seamlessly, expanding your AI toolkit to bring rich, dynamic audio experiences to life across various platforms and projects.

Fetches and analyzes YouTube video transcripts by accepting URLs or video IDs and returning formatted transcript data with timestamps for video content analysis without watching.

Integrates with YouTube using yt-dlp to enable downloading of videos and subtitles for content analysis and processing tasks.

Integrates with Openverse's Creative Commons image collection to search and retrieve openly-licensed images with detailed filtering options, attribution information, and specialized essay illustration features for finding relevant academic content.

Integrates YouTube subtitle retrieval for natural language queries about video content.

Provides a bridge to the NewsNow platform for retrieving trending and latest news from various sources with customizable result limits and markdown-formatted output.

Extract and analyze video captions and subtitles in multiple languages.

Extracts and formats YouTube video transcripts with language selection, paragraph formatting, and metadata enrichment for content analysis and research workflows.

Integrates Ollama's local LLM models with MCP-compatible applications, enabling on-premise AI processing and custom model deployment while maintaining data control.

Integrates with Penpot's API to enable project browsing, file retrieval, object searching, and visual component export with automatic screenshot generation for converting UI designs into functional code.

Integrates with Ollama for local large language model inference, enabling text generation and model management without relying on cloud APIs.

Experience seamless AI-powered 3D modeling by connecting Blender with Claude AI via the Model Context Protocol. BlenderMCP enables two-way communication, allowing you to create, modify, and inspect 3D scenes directly through AI prompts. Control objects, materials, lighting, and execute Python code in Blender effortlessly. Access assets from Poly Haven and generate AI-driven models using Hyper3D Rodin. This integration enhances creative workflows by combining Blender’s robust tools with Claude’s intelligent guidance, making 3D content creation faster, interactive, and more intuitive. Perfect for artists and developers seeking AI-assisted 3D design within Blender’s environment.

Integrates with n8n workflow automation platform to enable natural language workflow creation, management, and deployment with encrypted credential handling, role-based access control, and automated testing capabilities.

Provides a structured thought process management system for maintaining explicit reasoning steps, policy verification, and tool output analysis through persistent memory storage

Extracts text from videos and audio files across platforms like YouTube, Bilibili, TikTok, Instagram, Twitter/X, Facebook, and Vimeo using Whisper speech recognition for transcription, content analysis, and accessibility improvements.

Integrates with LlamaIndexTS to provide access to various LLM providers for code generation, documentation writing, and question answering tasks

Bridges local llama-server instances with MCP clients, providing chat interface, health monitoring, and configurable generation parameters for integrating llama.cpp models with desktop applications

Provides dual-cycle metacognitive reasoning framework that detects when autonomous agents get stuck in repetitive behaviors through statistical anomaly detection and semantic analysis, then automatically diagnoses failure causes and generates recovery strategies using case-based learning.