"A tool for managing tasks" matching MCP servers:

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

Exposes ocrmypdf as a single tool for OCR-ing scanned PDFs, with automatic PATH handling for Tesseract and Ghostscript on Windows to ensure compatibility with Claude Desktop.

Enables an AI agent to drive a running Adobe After Effects, inspecting projects and editing comps, layers, effects, keyframes, text, masks, expressions, and rendered frames through natural language. It provides a small tool surface with dry-run validation and undo-grouped operations for safe autonomous use.

An MCP server implementation that integrates with Minimax API to provide AI-powered image generation and text-to-speech functionality in editors like Windsurf and Cursor.

Enables MCP clients to operate local Adobe Premiere Pro projects, covering media ingest, bins, sequence and timeline editing, transitions, effects, keyframes, captions, markers, metadata, proxies, multicam, color, audio, and exports through 283 discoverable tools, 13 context resources, and 10 guided prompts. A bundled CEP panel provides the supported production bridge, with read-only connection verification and higher-level workflows for assembling product spots and motion-graphics demos.

Enables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.

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 job queue-based FFmpeg wrapper enabling AI assistants to perform video processing tasks such as trimming, format conversion, resolution change, and subtitle conversion through natural language.

An MCP server that enables users to control a MeTube instance for managing yt-dlp video and audio downloads through AI assistants. It supports operations like queuing URLs, listing active downloads, and managing authentication cookies.

Transforms DALL-E 3, DALL-E 2, and GPT-Image-1 into MCP-compatible tools for generating images from natural language descriptions, supporting batch creation, style control, and flexible sizing.

Enables MCP clients to transcribe audio/video files locally, generate SRT subtitles, and burn captions into videos via tool calls, without a cloud API.

Enables AI assistants to search, generate, and manipulate u-he synth presets through natural language, including browsing libraries, randomizing presets, and merging multiple presets.

Gives AI agents a real paint canvas over MCP — layers, anti-aliased shapes, paths, brushes, fills, gradients, filters, transforms, undo/redo, and PNG/JPG/BMP/SVG import-export — with every drawing call returning the picture so the model can inspect and correct its own work. Ships one tool per operation plus a batch tool, preview, inspect, and an optional localhost live view.

A local MCP hub for SW Toolbox providing file-processing tools like image compression, conversion, PDF merging, and data utilities. It includes a free compress_image tool and requires a Pro key for additional tools.

Wallet-funded MCP client for six paid Utilia tools: Solana priority fees, transaction diagnosis and simulation, token-risk checks, PDF-to-Markdown, and audio normalization over x402. MIT-licensed and installable from npm.

Records a screen or region into a silent video, ingests timeline events from other tool servers, then synthesizes, aligns, and muxes narration with captions over the take.

MCP server for Jianying (CapCut) AI-assisted editing, enabling natural language-driven draft generation, reference reuse, and batch template creation with safety checks.

A cross-platform MCP server that enables Claude to speak using Microsoft Edge TTS with support for over 300 voices across 50+ languages. It requires no API keys and allows for customization of speech rate, volume, and pitch.

A video enhancement MCP server that supports creating tasks, querying status, and synchronously enhancing videos with URL or local file input.

Lets AI agents inspect local or remote videos by reading metadata, detecting shots and cuts, extracting frames as images, and checking keyframes for seeking and streaming, all via local FFmpeg without an API key.