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Version: FINAL-1.0.0

Bunny Studio MCP

Model Context Protocol (MCP) server for Bunny Studio. The @bunnystudio/mcp package exposes every Bunny Studio API endpoint as an MCP tool and provides built-in prompts that prepare any AI agent to use the API correctly — even when the user's request is plain text.

Works with: Claude Desktop, Claude Code, Cursor, VS Code (Copilot / Continue), Windsurf, and any other MCP-compatible client.

Quick start​

No installation required — run directly with npx:

# With a pre-obtained JWT token
npx @bunnystudio/mcp --token=YOUR_JWT_TOKEN

# With environment variable
BUNNY_API_TOKEN=YOUR_JWT_TOKEN npx @bunnystudio/mcp
Get a token

Contact a Bunny Studio representative to enable API access on your account. Once enabled, log in through the bunnystudio_login tool or retrieve the token from the authentication endpoint.

npx cache issue

If you see ERR_MODULE_NOT_FOUND for zod-to-json-schema when using npx, clear the npx cache and try again: rm -rf ~/.npm/_npx (Linux/macOS) or delete the _npx folder under your npm cache, then run the npx command again.

What you need to know​

  • Token — You need a Bunny Studio API token (JWT). Get it by logging in via the bunnystudio_login tool, or set BUNNY_API_TOKEN / use --token=….
  • Project creation — Creating a project is a two-step flow: the AI runs a preview (quote, validation), then asks for your confirmation before creating the project.
  • Services — Only voice over and audio ads are supported.

Next steps​