podcli
Related Servers
Alternatives to podcli
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityAmaintenancePrivate, local audio and video transcription for Claude: an MCP server that runs Whisper on your computer, on the GPU or CPU, with text, SRT subtitle, or JSON output. Works with Claude Desktop, Claude Code, and claude.ai.-
- AlicenseAqualityDmaintenanceAn MCP server that scrapes and transcribes podcast episodes from YouTube or RSS feeds using Deepgram's Nova-2 model. It allows users to track podcasts for new episodes, manage transcripts, and generate personalized summaries through Claude.101MIT
- AlicenseAqualityCmaintenanceMCP server for AI-powered image, audio, and video generation, enabling media creation directly from Claude, Cursor, and other MCP clients.1119 npmMIT
- AlicenseAqualityFmaintenanceTurn YouTube videos into short clips — from Claude, Cursor, or any AI assistant that supports MCP. You give it a YouTube link. It finds the best moments, reframes them for vertical video, adds subtitles, and gives you download links. All from a chat.627 npm2MIT
- AlicenseNot gradedqualityCmaintenanceAn MCP server that gives Claude a conversational video-editing toolkit — trim, crop, color grade, caption, beat-sync, stabilize, and more — built on ffmpeg, faster-whisper, and yt-dlp, with optional DaVinci Resolve and CapCut integration.MIT
- AlicenseNot gradedqualityDmaintenanceAn 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.MIT
TDQS
Scored across 30 tools
Core workflow tools are distinct, but the set has several overlapping management/configuration surfaces (update_settings, manage_presets, record_decisions, manage_config, manage_env, manage_thumbnail_config) that could make it unclear where a setting belongs. Transcription also has sync/background variants, though descriptions clarify usage. Score 3.
Names are predominantly snake_case and mostly follow verb_noun or manage_* patterns, with only a few noun-only names like knowledge_base, job_status, and clip_history. No chaotic mixed casing, though verb styles vary. Score 4.
30 tools is above the 25+ threshold for 'too many' in this rubric; the server is feature-rich but many tools are niche/config/integration helpers. A tighter surface would reduce selection cost. Score 2.
The surface covers the podcast clipping lifecycle: ingest/transcribe, analyze, suggest, create/batch, modify, export, reels, multicam, assets, presets, integrations, and history. Minor gaps include no direct output deletion or upload tool outside integrations. Score 4.