ShiLiu MCP Server

ShiLiu MCP Server

Enables digital human (avatar) creation, voice cloning, and video generation through ShiLiu API, compatible with any MCP client.

Category
访问服务器

README

English | 中文

<p align="center"> <img src="shiliu_logo.png" alt="ShiLiu Digital Human" width="320" /> </p>

ShiLiu MCP Server — Digital Human, Voice Cloning and Video Generation

An MCP server for the ShiLiu API that brings digital human (avatar) creation, voice cloning, and video generation into any MCP‑compatible client (e.g., Claude Desktop, Cline, OpenAI Agents). It exposes a focused set of tools over stdio for managing credits, listing avatars and speakers, creating avatars from image/video URLs, generating videos by text, and polling generation status.

  • Features:
    • Retrieve remaining credits of your account
    • List avatars and speakers
    • Create avatar from an image URL
    • Create avatar from a video URL
    • Create video by text using selected avatar and speaker
    • Query generation status for avatars, speakers and videos

Requirements

  • Python >= 3.12
  • A ShiLiu API Key (SHILIU_API_KEY)
  • Optional: uv for dependency management

Installation

# Recommended with uv
uv sync

# Or standard pip (editable install if you plan to develop)
pip install -e .

Configuration

Create a .env file in the project root or export environment variables:

# Required
SHILIU_API_KEY=your_api_key_here

# Optional (not strictly required by current server run mode)
MCP_HOST=127.0.0.1
MCP_PORT=8000

Get an API Key at https://shiliu.chat (Contact us).


Run Locally

You can run the server directly or via the installed console script.

# Option 1: run from source
python server.py --api-key YOUR_API_KEY

# Option 2: via entrypoint (available after install)
shiliu-mcp --api-key YOUR_API_KEY

# Option 3: module form (if installed as a package)
python -m shiliu_mcp.server --api-key YOUR_API_KEY

Notes:

  • The server uses the MCP FastMCP runtime and is intended to be launched by an MCP client (stdio-based).
  • If --api-key is omitted, ensure SHILIU_API_KEY is set in environment or .env.

Use with MCP Clients

Example for Claude Desktop (adjust paths/commands as needed):

{
  "mcpServers": {
    "shiliu": {
      "command": "python",
      "args": ["server.py"],
      "env": {
        "SHILIU_API_KEY": "your_api_key_here"
      }
    }
  }
}

If installed with an executable command (shiliu-mcp):

{
  "mcpServers": {
    "shiliu": {
      "command": "shiliu-mcp",
      "args": [],
      "env": {
        "SHILIU_API_KEY": "your_api_key_here"
      }
    }
  }
}

Available Tools

Tool Description Params
get_remaining_credits Get remaining credits -
get_avatar_list List available avatars -
create_avatar_by_image Create avatar by image URL image_url, title?
create_avatar_by_video Create avatar by video URL video_url, title?
get_avatar_generation_status Query avatar generation status avatar_id
get_speaker_list List available speakers -
create_speaker Create a new speaker (voice) title?
get_speaker_generation_status Query speaker generation status speaker_id
create_video_by_text Create video by text avatar_id, speaker_id, text, title?
get_video_generation_status Query video generation status video_id

Success responses use code = 0 and include relevant fields such as remaining_credits, avatars, speakers, video_id, progress, status, title, video_url, etc.


Troubleshooting

  • API Key errors

    • Ensure .env is present or SHILIU_API_KEY is exported
  • Network issues

    • Verify connectivity to https://api.16ai.chat
  • Dependency issues

    • Re-install with uv sync or pip install -e .

Development Notes

  • Code entry point: server.py (CLI parses --api-key, --host, --port, --reload)
  • Main classes and models are in api_client.py
  • Packaging metadata is defined in pyproject.toml

Disclaimer

This project interfaces with the ShiLiu API. Please ensure you have the right to use the API and comply with the API provider's terms.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选