ClipForge MCP Server is a community-maintained open-source MCP layer that exposes ClipForge's keyless short-video pipeline (script → free stock footage → free TTS → captions → BGM → FFmpeg compose) to any MCP client. It produces videos without API keys and can generate scripts once an LLM is configured; it is self-hosted, watermark-free and AGPL-3.0. It suits users who want local automated production of vertical selling videos driven by AI assistants, and is not for those needing official support or unwilling to run a local instance and FFmpeg.
Strongest · Maintenance 14/20 Weakest · Reliability 9/20
Static review · not runListed 2026-09-10
Read the FMRS scoring method →Runtime：Node.js · Docker
CLIPFORGE_LLM_API_KEY
API key for that LLM endpoint, needed only for script generation; get it from your chosen model platform (e.g. DeepSeek, OpenRouter).
CLIPFORGE_BASE_URL
URL of the running ClipForge instance, default http://localhost:3000 (start via docker or pnpm dev/pnpm start); set it if not using the default. Optional.
CLIPFORGE_LLM_BASE_URL
OpenAI-compatible LLM endpoint for script generation only; footage and voiceover are keyless without it.
CLIPFORGE_LLM_MODEL
LLM model id for script generation (e.g. deepseek-ai/deepseek-v3.2); pick from your LLM endpoint's model list.
docker run -d -p 3000:3000 -v clipforge-data:/data ghcr.io/xixihhhh/clipforge, or run pnpm dev / pnpm start inside the repository.npx, args -y [email protected], transport stdio.{
"mcpServers": {
"clipforge": {
"command": "npx",
"args": ["-y", "[email protected]"],
"env": {
"CLIPFORGE_BASE_URL": "http://localhost:3000",
"CLIPFORGE_LLM_BASE_URL": "",
"CLIPFORGE_LLM_API_KEY": "",
"CLIPFORGE_LLM_MODEL": ""
}
}
}
}
Shown for Claude Desktop. Other clients may use a different file or key (VS Code uses "servers") — the configurator below converts it.
{
"servers": {
"clipforge": {
"command": "npx",
"args": [
"-y",
"[email protected]"
],
"env": {
"CLIPFORGE_BASE_URL": "http://localhost:3000",
"CLIPFORGE_LLM_BASE_URL": "",
"CLIPFORGE_LLM_API_KEY": "",
"CLIPFORGE_LLM_MODEL": ""
}
}
}
}
Goes in your project's .vscode/mcp.json (VS Code uses a "servers" key).
claude mcp add clipforge -e CLIPFORGE_BASE_URL=http://localhost:3000 -e CLIPFORGE_LLM_BASE_URL= -e CLIPFORGE_LLM_API_KEY= -e CLIPFORGE_LLM_MODEL= -- npx -y [email protected]
Run it in a terminal; replace any <…> placeholders with your own values first.
Start a ClipForge instance first (e.g. docker run -d -p 3000:3000 ghcr.io/xixihhhh/clipforge); the client's tool list should show create_video, compose, clipforge_product_script and clipforge_update_shots. Calling clipforge_product_script with a product link and getting a script back confirms the connection.
Once connected, you can ask your AI assistant things like:
No matching tools
Listed from the project's documentation, not tested by this site.
ClipForge (formerly "daihuo-jianshou") is an open-source AI e-commerce and UGC short-video generator: upload a product image and it extracts selling points, writes a script, keeps the product image undistorted, and adds footage, voiceover and captions to produce a vertical selling video for Douyin Shop, Kuaishou, Xiaohongshu, WeChat Channels and TikTok Shop; it also supports one-sentence topic videos. Its MCP server (npm package clipforge-mcp, version 0.1.4) exposes that pipeline over stdio (script → free stock footage → free TTS → captions → BGM → FFmpeg compose) to any MCP client. Footage and voiceover work keyless without an LLM, while script generation requires an OpenAI-compatible LLM endpoint. The project is AGPL-3.0 licensed, self-hosted, and keeps data on the local machine. This MCP server is maintained by the project author as a community open-source effort, not an official offering from any platform or model vendor.
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Source revision 1224b73b9139 Data synced 2026-10-19 Read the FMRS scoring method