LatentSync_main – 5 MCP servers offer this tool
What it usually takes
audio_path– in 5 of 5video_path– in 5 of 5
No server marks it as only reading: treat it as able to change data.
From each publisher's own tool list. We never call a tool.
Servers
| Server | Inputs | Read-only? |
|---|---|---|
LatentSync co.huggingface.wisdomuk/latentsync Perform lip-sync video generation using an input video and a separate audio track. This function takes an input video (usually a person speaking) and an audio file, and synchronizes the video frames so that the lips of the speaker match the audio content. It uses a latent diffusion model-based pipeline (LatentSync) for audio-conditioned lip synchronization. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool. Returns: str: File path to the generated output video with lip synchronization applied. | audio_path,video_path | Not stated |
LatentSync co.huggingface.djadrianobotelho/latentsync Perform lip-sync video generation using an input video and a separate audio track. This function takes an input video (usually a person speaking) and an audio file, and synchronizes the video frames so that the lips of the speaker match the audio content. It uses a latent diffusion model-based pipeline (LatentSync) for audio-conditioned lip synchronization. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool. Returns: str: File path to the generated output video with lip synchronization applied. | audio_path,video_path | Not stated |
LatentSync co.huggingface.jnrlucci/latentsync Perform lip-sync video generation using an input video and a separate audio track. This function takes an input video (usually a person speaking) and an audio file, and synchronizes the video frames so that the lips of the speaker match the audio content. It uses a latent diffusion model-based pipeline (LatentSync) for audio-conditioned lip synchronization. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool. Returns: str: File path to the generated output video with lip synchronization applied. | audio_path,video_path | Not stated |
LatentSync co.huggingface.honeisunnie/latentsync Perform lip-sync video generation using an input video and a separate audio track. This function takes an input video (usually a person speaking) and an audio file, and synchronizes the video frames so that the lips of the speaker match the audio content. It uses a latent diffusion model-based pipeline (LatentSync) for audio-conditioned lip synchronization. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool. Returns: str: File path to the generated output video with lip synchronization applied. | audio_path,video_path | Not stated |
LatentSync co.huggingface.lennyintech/latentsync Perform lip-sync video generation using an input video and a separate audio track. This function takes an input video (usually a person speaking) and an audio file, and synchronizes the video frames so that the lips of the speaker match the audio content. It uses a latent diffusion model-based pipeline (LatentSync) for audio-conditioned lip synchronization. Returns: File path to the generated output video with lip synchronization applied. | audio_path,video_path | Not stated |