HeyGen MCP. Produce Studio-Quality Video from Simple Conversation

HeyGen MCP Server automates your entire video workflow using AI agents. You're connecting your HeyGen account so your agent—your client—can handle complex tasks, from avatar selection to multi-language translation. It treats your AI client like a dedicated production suite, letting you manage high-quality talking head content at scale without ever touching a graphical user interface.

Your agent handles the variables and status checks; all you gotta do is chat with it.

Finding What You Need: Avatars & Templates

Before you generate anything, your agent needs to know what's available. It can list all video templates using list_templates or narrow down options by checking out the structure and required variables for any specific template ID with get_template_details. To nail down the perfect spokesperson, it first lists avatar categories via list_avatar_groups, then gets a comprehensive roster of every active avatar ID and name using list_avatars.

This lets your agent make sure you're pointing to the right asset for any project.

Generating Content: Two Ways to Go Live

You can create videos in two distinct ways. If you need a full, studio-quality video with specific scenes and avatar configurations, your agent calls generate_video to manually start that production process. But if you're running bulk content—like updating product descriptions across fifty different locations—you use automation. Calling generate_from_template lets your agent automatically replace defined variables within a chosen template structure, spitting out multiple videos based on simple data inputs.

This is how you create talking head content at scale.

Localization and Translation

Need to hit international markets? Your agent handles that too. Using translate_video, it converts an existing video into a completely different language while making sure the avatar's lips sync perfectly to the new audio track. It’s not just dubbing; it’s professional localization.

Managing Jobs and History

Since generation takes time, your agent needs ways to keep track of everything. After you trigger a job, you use get_video_status to check if the video is done, which returns the final download URL the second it’s ready. You don't wanna lose track of what worked—your agent can view a list of all previously generated videos using list_videos, providing basic metadata and status for archiving purposes.

If you're doing live interaction or streaming sessions, it retrieves the full history records with list_streaming_history.

How Your Agent Uses This Stuff:

When you hook up your client to this server, you don't write API calls; your agent does that for you. It talks to the tools based on natural conversation. For instance, if you tell it, "Make a video about Q3 sales using Template X and Avatar Z," your agent first runs get_template_details to verify Template X works, then it uses list_avatars to get the ID for Avatar Z, and finally, it executes generate_from_template, automatically managing the variables and confirming the status until the final URL is ready.

It's a closed loop—discovery, generation, verification, all through chat.