MCP Digital Human Server
A Model Context Protocol (MCP) server for the AceDataCloud Digital Human API.
Features
- Create lip-synced digital human videos from a source face video or image
- Clone voices from short reference audio samples
- Poll, batch-retrieve, or delete Digital Human tasks
Installation
pip install mcp-digitalhuman
Configuration
export ACEDATACLOUD_API_TOKEN=your_token_here
Usage
mcp-digitalhuman
Development
pip install -e ".[dev,test]"
pytest -q
ruff check .
Documentation
1 maintainer
Metadata
1 maintainer
Release files for mcp-digitalhuman 2026.10.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mcp_digitalhuman-2026.10.6.0.tar.gz | 14.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mcp_digitalhuman-2026.10.6.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 31.2 kB
Release files / mcp_digitalhuman-2026.10.6.0.tar.gz
| Download URL | mcp_digitalhuman-2026.10.6.0.tar.gz |
|---|---|
| Size | 14.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
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Release files / mcp_digitalhuman-2026.10.6.0-py3-none-any.whl
| Download URL | mcp_digitalhuman-2026.10.6.0-py3-none-any.whl |
|---|---|
| Size | 16.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
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