Skip to main content
Glama
458,064 tools. Updated 2026-08-14 20:18

"FFmpeg" matching MCP tools:

  • Process video files using custom FFmpeg commands on the MCP Media Processing Server. Specify input paths, output paths, and FFmpeg options to manage conversions, compressions, and edits efficiently.
    ISC
  • Execute custom FFmpeg commands for advanced media operations such as filters, effects, watermarks, or speed adjustments.
    MIT
  • Combine multiple video clips into a single continuous file, preserving order and audio, with optional background music and subtitles.
    Apache 2.0
  • Finish screen recordings by producing MP4, GIF, and social crops with optional offline voiceover, music, and subtitles - all local, no API keys.
    MIT

Matching MCP Servers

  • F
    license
    A
    quality
    D
    maintenance
    Enables local media processing (video/audio) using FFmpeg and FFprobe, allowing frame extraction, audio conversion, and metadata retrieval through natural language.
    5
  • A
    license
    A
    quality
    C
    maintenance
    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.
    8
    MIT

Matching MCP Connectors

  • FFmpeg Micro MCP Server. Transcode videos from n8n or Make using FFmpeg in the cloud. Code+Docs: https://github.com/javidjamae/ffmpeg-micro-mcp/

  • Hosted MCP tools for FFmpeg-style video and audio processing through FFMPEG API.

  • Identify every active Rendobar job type with its summary and accepted media kinds. Check coverage before starting a media task or planning a chain.
    MIT
  • Mechanically edit a rendered video: trim, adjust speed, mute, audio gain, fade out, add watermark, end card, or film grain using ffmpeg, without AI, returning a new video.
    MIT
  • Combine two or more audio files into a single file using plain concatenation, silence gaps, or crossfade. Output format is auto-detected or manually specified.
    MIT
  • Submit media processing jobs to Rendobar's cloud infrastructure and get a hosted output URL. Handles FFmpeg, video composition, compression, captions, and image generation without local tools.
    MIT
  • Submit a private FFmpeg processing job to trim, transcode, watermark, or generate thumbnails for media files. Provide a single input URL or multiple file URLs; optionally specify an explicit ffmpeg command.
    MIT
  • Transcribe audio or video into word-timestamped captions for your video project. Runs Whisper locally—no API key or upload required—and accepts a URL or local file path.
    Apache 2.0
  • Retrieve download URL and metadata for a finished FFmpeg job. Bypass streaming through MCP to get direct access to processed files.
    MIT
  • Report installed media binaries (ffmpeg, ffprobe, ImageMagick, whisper.cpp, Python, edge-tts) to know what operations are possible.
    MIT
  • Generate spoken audio from text using Edge TTS. Choose voice, speaking rate, and pitch. Outputs audio file path.
    MIT
  • Stop the screen recording on a target device and retrieve the resulting video file. Call this when the capture is finished or still running.
    Apache 2.0
  • Extracts frames and transcribes audio from video files to generate a structured timeline of what is shown and said, simplifying pre-editing analysis.
    MIT