mcp-transkriptor
Related Servers
Alternatives to mcp-transkriptor
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceEnables AI assistants to transcribe audio and video from URLs or local files with high accuracy, speaker diarization, 119 languages, and word-level timestamps, while also supporting transcription management and caption export in SRT, WebVTT, or plain text.1468 npm11MIT
- AlicenseNot gradedqualityDmaintenanceEnables speech-to-text transcription, text-to-speech synthesis, and audio analysis using Deepgram's AI models. Supports features like speaker diarization, sentiment analysis, language detection, and various audio processing capabilities.2MIT
- FlicenseAqualityNot gradedmaintenanceProvides access to Whissle AI services for speech-to-text, speaker diarization, translation, and text summarization. It enables users to process various audio formats and manage text content through natural language tools.5-
- FlicenseNot gradedqualityDmaintenanceEnables access to Fireflies.ai API for retrieving, searching, and summarizing meeting transcripts with various filtering options and formats.5-

mcp-gladiaofficial
FlicenseNot gradedqualityFmaintenanceEnables LLMs to transcribe, analyze, and translate audio/video content through Gladia's API.-- AlicenseNot gradedqualityDmaintenanceProvides translation capabilities using the DeepL API, supporting text translation between numerous languages, rephrasing, batch translation, document translation, and language detection with formality control.4MIT
TDQS
Scored across 25 tools
Every tool targets a distinct operation on different entities (transcription, file, vocabulary, webhook, knowledgebase), with no overlapping functionality. The descriptions clearly differentiate their purposes.
All tool names follow a consistent verb_noun pattern using snake_case (e.g., create_knowledgebase, list_files, transcribe_url), with no mixing of conventions or vague verbs.
25 tools is on the higher side but still reasonable given the comprehensive feature set (transcription, file management, export, vocabulary, webhooks, knowledgebase, TTS). Each tool serves a clear purpose without bloat.
The tool surface covers core transcription lifecycle, file operations, vocabulary management, webhooks, and knowledgebase chat. Minor gaps like missing cancellation or status polling tools, but overall well-rounded.