by heygen-com
Create realistic AI generated videos with HeyGen's powerful AI video generator API. Access voices, avatars, and easy vid
Generates AI avatar videos through HeyGen's API, allowing you to create videos with digital avatars using text scripts.
HeyGen is an official MCP server published by heygen-com that provides AI assistants with tools and capabilities via the Model Context Protocol. Create realistic AI generated videos with HeyGen's powerful AI video generator API. Access voices, avatars, and easy vid It is categorized under other.
You can install HeyGen in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
HeyGen is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
I recommend HeyGen for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Strong directory entry: HeyGen surfaces stars and publisher context so we could sanity-check maintenance before adopting.
HeyGen has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, HeyGen benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired HeyGen into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
HeyGen reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
HeyGen is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
I recommend HeyGen for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
HeyGen reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Strong directory entry: HeyGen surfaces stars and publisher context so we could sanity-check maintenance before adopting.
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The HeyGen MCP server enables any MCP Client like Claude Desktop or Agents to use the HeyGen API to generate avatars and videos.
Note: This project is in early development. While we welcome community feedback and contributions, please be aware that official support is limited.
uv is a fast Python package installer and resolver that we recommend for installing this package.
macOS or Linux:
# Install with the official installer script
curl -LsSf https://astral.sh/uv/install.sh | sh
# Or via Homebrew (macOS)
brew install uv
Windows:
# Install with the official installer script in PowerShell
irm https://astral.sh/uv/install.ps1 | iex
# Or via Scoop
scoop install uv
For other installation methods, see the uv documentation.
claude_desktop_config.json to include the following:{
"mcpServers": {
"HeyGen": {
"command": "uvx",
"args": ["heygen-mcp"],
"env": {
"HEYGEN_API_KEY": "<insert-your-api-key-here>"
}
}
}
}
If you're using Windows, you'll need to enable "Developer Mode" in Claude Desktop to use the MCP server. Click "Help" in the hamburger menu at the top left and select "Enable Developer Mode".
The server provides the following tools to Claude:
To run the server locally with the MCP Inspector for testing and debugging:
uv --with "mcp[cli]" dev heygen_mcp/server.py
This will start the server in development mode and allow you to use the MCP Inspector to test the available tools and functionality.
Contributions are welcome! Please feel free to submit a Pull Request.
This project is licensed under the MIT License - see the LICENSE file for details.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.