7 lines
4.3 KiB
Plaintext
7 lines
4.3 KiB
Plaintext
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":"2025-03-26","capabilities":{"experimental":{},"prompts":{"listChanged":false},"resources":{"subscribe":false,"listChanged":false},"tools":{"listChanged":false}},"serverInfo":{"name":"fast-whisper-mcp-server","version":"1.9.4"}}}
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INFO:mcp.server.lowlevel.server:Processing request of type ListToolsRequest
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{"jsonrpc":"2.0","id":2,"result":{"tools":[{"name":"get_model_info_api","description":"\n Get available Whisper model information\n ","inputSchema":{"properties":{},"title":"get_model_info_apiArguments","type":"object"}},{"name":"transcribe","description":"\n Transcribe audio files using Faster Whisper\n\n Args:\n audio_path: Path to the audio file\n model_name: Model name (tiny, base, small, medium, large-v1, large-v2, large-v3)\n device: Execution device (cpu, cuda, auto)\n compute_type: Computation type (float16, int8, auto)\n language: Language code (such as zh, en, ja, etc., auto-detect by default)\n output_format: Output format (vtt, srt, json or txt)\n beam_size: Beam search size, larger values may improve accuracy but reduce speed\n temperature: Sampling temperature, greedy decoding\n initial_prompt: Initial prompt text, can help the model better understand context\n output_directory: Output directory path, defaults to the audio file's directory\n\n Returns:\n str: Transcription result, in VTT subtitle or JSON format\n ","inputSchema":{"properties":{"audio_path":{"title":"Audio Path","type":"string"},"model_name":{"default":"large-v3","title":"Model Name","type":"string"},"device":{"default":"auto","title":"Device","type":"string"},"compute_type":{"default":"auto","title":"Compute Type","type":"string"},"language":{"default":null,"title":"Language","type":"string"},"output_format":{"default":"vtt","title":"Output Format","type":"string"},"beam_size":{"default":5,"title":"Beam Size","type":"integer"},"temperature":{"default":0.0,"title":"Temperature","type":"number"},"initial_prompt":{"default":null,"title":"Initial Prompt","type":"string"},"output_directory":{"default":null,"title":"Output Directory","type":"string"}},"required":["audio_path"],"title":"transcribeArguments","type":"object"}},{"name":"batch_transcribe_audio","description":"\n Batch transcribe audio files in a folder\n\n Args:\n audio_folder: Path to the folder containing audio files\n output_folder: Output folder path, defaults to a 'transcript' subfolder in audio_folder\n model_name: Model name (tiny, base, small, medium, large-v1, large-v2, large-v3)\n device: Execution device (cpu, cuda, auto)\n compute_type: Computation type (float16, int8, auto)\n language: Language code (such as zh, en, ja, etc., auto-detect by default)\n output_format: Output format (vtt, srt, json or txt)\n beam_size: Beam search size, larger values may improve accuracy but reduce speed\n temperature: Sampling temperature, 0 means greedy decoding\n initial_prompt: Initial prompt text, can help the model better understand context\n parallel_files: Number of files to process in parallel (only effective in CPU mode)\n\n Returns:\n str: Batch processing summary, including processing time and success rate\n ","inputSchema":{"properties":{"audio_folder":{"title":"Audio Folder","type":"string"},"output_folder":{"default":null,"title":"Output Folder","type":"string"},"model_name":{"default":"large-v3","title":"Model Name","type":"string"},"device":{"default":"auto","title":"Device","type":"string"},"compute_type":{"default":"auto","title":"Compute Type","type":"string"},"language":{"default":null,"title":"Language","type":"string"},"output_format":{"default":"vtt","title":"Output Format","type":"string"},"beam_size":{"default":5,"title":"Beam Size","type":"integer"},"temperature":{"default":0.0,"title":"Temperature","type":"number"},"initial_prompt":{"default":null,"title":"Initial Prompt","type":"string"},"parallel_files":{"default":1,"title":"Parallel Files","type":"integer"}},"required":["audio_folder"],"title":"batch_transcribe_audioArguments","type":"object"}}]}}
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INFO:mcp.server.lowlevel.server:Processing request of type CallToolRequest
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INFO:model_manager:GPU test passed: NVIDIA GeForce RTX 3060 (12.5GB)
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INFO:model_manager:Loading Whisper model: large-v3 device: cuda compute type: float16
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