"Information about Base64 Encoding" matching MCP servers:

An MCP server that connects Claude to video encoding workflows, enabling smart error translation, real-time job analysis, and automated email drafting for troubleshooting encoding issues.

AI-powered assistant that connects Claude to video encoding workflows, translating cryptic errors into plain English and providing actionable solutions for troubleshooting encoding jobs.

Enables AI assistants to remove backgrounds from images using the Poof API via URLs, file paths, or base64 encoding. It also allows users to monitor their account information and remaining credit balance.

An MCP server that reads and builds CapCut projects locally, enabling natural language queries about project contents, missing media, and creation of new edits including beat-synced cuts.

A Model Context Protocol server that enables fetching and processing images from URLs, local file paths, and numpy arrays, returning them as base64-encoded strings with proper MIME types.

An MCP server that parses Douyin share links and performs intelligent content analysis using the Doubao video understanding model. It provides structured outputs including video summaries, categorized outlines, and step-by-step tutorial information.

Qencode MCP server that connects AI clients to the Qencode Transcoding API via OAuth, allowing agents to submit, monitor, and reason about video transcoding jobs, including HLS ABR ladders, MP4 encoding, thumbnails, subtitles, transcriptions, and DRM packaging, plus Qencode Media Storage bucket and object management.

Provides AI-powered image analysis and OCR capabilities using the Kolosal Vision API. Supports analyzing images from URLs, local files, or base64 data with natural language queries for object detection, scene description, text extraction, and visual assessment.

MCP server for GIF animation analysis. Provides metadata extraction, individual frame export, and per-frame timing information.

Provides advanced image analysis capabilities including object recognition, OCR text extraction, and multi-turn visual dialogues using OpenAI-compatible APIs. It supports both local files and Base64 inputs with additional features for session persistence and web-based configuration management.

An MCP server for OBS Studio that subscribes to events and maintains a history, enabling queries about audio levels, source states, and past actions rather than only one-shot requests.

Enables interaction with Wecandeo VideoPack v4 API for video upload, encoding, publishing, and media library management via natural language.

About MCP server for image conversion, resizing, and merging — runs locally, no uploads

Agent-native media processing: video encoding, image manipulation, document conversion, audio transcription, and more via 86+ cloud Robots.

Enables AI-powered YouTube video analysis including transcript management, video summaries, chapter generation, keyword extraction, and playback control. Supports searching videos, retrieving channel/playlist information, and translating transcripts using Google Gemini AI.

Enables MCP-compatible agents to perform local FFmpeg-powered video editing on Linux, including probing media metadata, trimming and re-encoding clips, extracting audio to MP3, and burning SRT subtitles into MP4 files. All operations are confined to a configurable workspace directory, leaving source files untouched and refusing to overwrite existing outputs.

An MCP server for parsing and analyzing Ableton Live .als project files offline, enabling queries about tempo, tracks, clips, and MIDI data through tools like als_summary and als_list_tracks.

Enables Claude to edit Adobe Premiere Pro timelines through natural language, with roughly 150 tools for cutting, trimming, speed changes, effects, keyframes, transitions, titles, captions, audio, markers and exports. It can also render frames so edits can be visually verified, and ships with a skill encoding a working order and rules learned from real projects.

Enables users to generate high-quality images using ModelScope's Qwen-Image model through natural language prompts. Supports async task processing with both image URL and base64 encoded data output options.

Enables video processing tasks such as resizing, audio extraction, and metadata inspection using FFmpeg, with base64 input/output for stateless and portable operation.

An MCP server that lets Claude Desktop watch videos from YouTube, Instagram, Facebook, or direct URLs, extracting transcripts and key frames to summarize and answer questions about video content.

Enables image processing and analysis using Google's Gemini 2.5 Flash model. Supports local files, URLs, and Base64 images with streaming responses and automatic output saving.

Enables previewing base64-encoded images in a native GUI window using Slint, with support for window reuse, always-on-top, and show/hide functionality.

Enables agents to run multimodal acoustic and visual surprise analysis over media files to discover highlight intervals with timestamps. Also supports lossless temporal squeezing and media assembly, condensing streams without re-encoding.

Gives coding agents the ability to hear and reason about audio by describing sounds, matching them to text, locating key moments, detecting realness, generating timelines, and critiquing soundtracks. It also lets agents synthesize and iteratively improve their own sounds in code.

An MCP server that enables LLMs to analyze video content by extracting frames as base64 images and retrieving video metadata using ffmpeg.

Enables MCP clients and terminal users to convert 201+ file formats, verify outputs with SHA-256, and discover 54 precision Studio workspaces through remote HTTP or local stdio transports. Supports local files, URLs, and base64 payloads with privacy-focused file shredding.

An MCP server that provides OCR capabilities using the EasyOCR library, supporting over 80 languages and GPU acceleration. It enables processing images from base64 strings, local files, or URLs with options for text-only or detailed coordinate and confidence output.

Integrates with Freesound.org to enable searching, discovering, and previewing audio content such as sound effects and music loops. It provides detailed metadata and licensing information to support video editing and content creation workflows.

Enables extraction of YouTube video information including metadata (title, description, channel, views) and transcripts without requiring an API key, using yt-info-extract and yt-ts-extract libraries.