Video production MCP: 55 tools — edit, grade, TTS captions, beat-sync, master, AI generate.
NIRA Video Production MCP is an MCP integration. Video production MCP: 55 tools — edit, grade, TTS captions, beat-sync, master, AI generate.
The published pypi package is nira-video-mcp, version 1.0.3. Its declared MCP transport is stdio.
The package declares VIDPROD_WORKSPACE: Working directory for temp files and intermediate renders; VIDPROD_INPUT: Default input directory Claude scans for source clips; VIDPROD_OUTPUT: Default output directory for rendered files; FAL_KEY: fal.ai API key for cloud AI video generation (Kling, Luma, Veo, Pika); WAN2GP_PATH: Path to Wan2GP installation for free local GPU video generation.
Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.
View the publisher’s registry entry · Project repository. This profile uses version 1.0.3 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.
Browse related other integrations MCP servers for tools that cover the same kind of work.
| Variable | Description | Required |
|---|---|---|
| VIDPROD_WORKSPACE | Working directory for temp files and intermediate renders | Optional |
| VIDPROD_INPUT | Default input directory Claude scans for source clips | Optional |
| VIDPROD_OUTPUT | Default output directory for rendered files | Optional |
| FAL_KEY | fal.ai API key for cloud AI video generation (Kling, Luma, Veo, Pika) | Optional |
| WAN2GP_PATH | Path to Wan2GP installation for free local GPU video generation | Optional |
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