Verify a label exists, retrieve its node count, and list property keys to avoid silent query scans. Use before filtering on a specific property.
Apache 2.0
190,736 tools. Last updated 2026-06-11 03:11
"Whisper" matching MCP tools:
- Transcribe YouTube videos without captions using AI speech recognition. Starts background processing and returns a task ID to check progress.MIT
- Retrieve historical WHOIS or BGP data for any indicator: IP, hostname, CIDR, or ASN. Auto-detects type and returns snapshots or routing history.Apache 2.0
- Retrieve dictation quality metrics including words per minute, average Whisper confidence, and correction rate for a specified lookback window. Use to analyze voice performance trends over time.AGPL 3.0
- Add a custom term to the voice vocabulary to fix mis-transcriptions. Provide the spelling and optional pronunciation hint so Whisper recognizes it correctly.AGPL 3.0
- Retrieve recent voice transcription corrections to analyze systematic Whisper errors, debug mis-transcriptions, or train vocabulary. Returns original and corrected text, confidence delta, timestamp, and correction source.AGPL 3.0
Matching MCP Servers
- AlicenseAqualityCmaintenanceMCP server that provides a transcribe_audio tool to convert voice messages from channels into text using OpenAI Whisper, enabling Claude Code to process audio attachments.Last updated1MIT
- AlicenseAqualityBmaintenanceAn MCP server that enables transcribing local audio files and Telegram voice messages using OpenAI's Whisper via local inference or cloud API. It supports multiple audio formats, automatic language detection, and optional word-level timestamps for AI-powered audio analysis.Last updated5MIT
Matching MCP Connectors
Query WhisperGraph: the internet's infrastructure & threat-intel graph (DNS, BGP, GeoIP, WHOIS).
34 MCP tools to search, register, manage, value, and trade ENS names. AI-powered intelligence layer.
- Submit media processing jobs (FFmpeg, captions) to run on cloud infrastructure, returning a hosted output URL.MIT
- Extract YouTube video content including titles, descriptions, and transcripts using available subtitles or speech-to-text conversion for analysis and retrieval.MIT
- Extracts frames and transcribes audio from video files to generate a structured timeline of what is shown and said, simplifying pre-editing analysis.MIT
- Convert audio files from URLs to text transcripts using AI transcription. Specify language for accurate results.MIT
- Transcribe any YouTube or video URL to get a timestamped transcript. Supports multiple Whisper model sizes for accuracy or speed.MIT
- Update a tracker's name, destination, whisper, greeting, and SMS settings. Provide destination_number when updating greeting to prevent call flow disruption.MIT
- Convert audio to text and export as subtitle or text files using Whisper models. Specify output format (SRT, VTT, TXT) and language for accurate transcription.Apache 2.0
- Download and set a Whisper AI model for audio transcription in Audacity, allowing users to choose between speed and accuracy options for their transcription needs.Apache 2.0
- Validate all 18 variants of a story chapter after release, ensuring structural integrity: all language-level combos present, consistent mark UUIDs, monotonic timings, non-blank translations, and valid audio.Apache 2.0
- Transcribes audio from URLs, base64, or local files using Whisper, with support for large files via chunked upload and options for language, timestamps, and async processing.MIT
- Evaluates a speech recording against a reference text, providing word-level phoneme feedback, prosody analysis, and alignment. Without reference, returns transcript and prosody.MIT
- Transcribe audio files to text using OpenAI Whisper, converting voice messages from channels into readable text for processing.MIT
- Switch the active Whisper model for the current session without restarting. Accepts a model filename or full path. Model must be installed in the models directory.Unlicense - libtelnet variant
- Transcribe audio files and automatically create timestamped Audacity labels for each segment. Use this tool to generate transcriptions with synchronized markers for easy audio editing and analysis.Apache 2.0