Brings Kling AI video generation into your MCP workflow through AceDataCloud's API. You get eight tools covering text-to-video, image-to-video, video extension, and motion transfer across six Kling models including v2-master and the new video-o1. Supports camera movement controls and batch task querying. Runs either as a hosted HTTP endpoint at kling.mcp.acedata.cloud (no local install) or self-hosted via pip/Docker. Works with Claude Desktop, VS Code, Cursor, JetBrains, and other MCP clients over stdio or streamable-http. Requires an AceDataCloud API token, which you can grab from their platform dashboard.
claude mcp add --transport stdio io.github.acedatacloud-mcp-kling uvx mcp-kling