mcpField
N

NIRA Video Production MCP

Local
github.com/pachoteMedia & Design
Repository

About NIRA Video Production MCP

Video production MCP: 55 tools — edit, grade, TTS captions, beat-sync, master, AI generate

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "pachote-nira-video": {
      "command": "uvx",
      "args": [
        "nira-video-mcp"
      ],
      "env": {
        "VIDPROD_WORKSPACE": "<VIDPROD_WORKSPACE>",
        "VIDPROD_INPUT": "<VIDPROD_INPUT>",
        "VIDPROD_OUTPUT": "<VIDPROD_OUTPUT>",
        "FAL_KEY": "<FAL_KEY>",
        "WAN2GP_PATH": "<WAN2GP_PATH>"
      }
    }
  }
}
Run commanduvx nira-video-mcp
Environment variables to set
VIDPROD_WORKSPACEWorking directory for temp files and intermediate renders
VIDPROD_INPUTDefault input directory Claude scans for source clips
VIDPROD_OUTPUTDefault output directory for rendered files
FAL_KEYSecretfal.ai API key for cloud AI video generation (Kling, Luma, Veo, Pika)
WAN2GP_PATHPath to Wan2GP installation for free local GPU video generation

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypinira-video-mcp1.0.3

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.