MCP Server and CLI Enable Automated Character Video Generation in AI Agents

Hedra, the AI video generation platform specializing in expressive character animation, released an official Model Context Protocol (MCP) server and command-line interface (CLI). The new developer tools allow creators to trigger character video synthesis directly from AI coding environments like Cursor and Claude Desktop, as well as custom agentic pipelines. This update shifts Hedra from a strictly web-based editor into an engine for programmatic, local video generation.

What's new

Hedra's open-source MCP server exposes its character video generation capabilities as standard tools for LLM agents. Anthropic's Model Context Protocol lets AI assistants query APIs, execute local scripts, and manage video assets using structured function calls.

By installing the package via npm or running the standalone CLI tool, developers can pass audio files, target image prompts, and script parameters directly to Hedra's Character-1 engine. The CLI supports local command-line batch operations, while the MCP server enables conversational coding tools to write scripts, generate matching character visuals, and render complete video clips without leaving the code editor.

How it fits your workflow

For technical directors and automated video pipeline creators, Hedra's MCP integration removes the manual burden of clicking through web interfaces to generate talking heads or avatar animations. Content teams building automated local workflows can now chain Hedra with audio tools like ElevenLabs or localized LLM script generators, building autonomous agents that output finished video clips based on text inputs.

This setup provides a direct alternative to web-bound avatar tools like HeyGen or Synthesia, and competes with API-first platforms like Runway Gen-3 Alpha API or Kling AI. Where traditional REST API calls require writing custom wrapper scripts and webhooks, the MCP protocol lets agents handle parameters, status polling, and file saving natively. Animators and software developers working on interactive NPCs, automated social media video feeds, or rapid pre-vis animatics can now control Hedra generation through natural language commands inside their IDE.

What it costs / how to try it

The Hedra MCP server and CLI are open-source and available on GitHub and npm (@hedra/mcp). Using the interface requires an active Hedra account and API key, with rendering jobs consuming standard account credits.