NIRA Video Production MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 93 installs a week from pypi.
Video production MCP: 55 tools — edit, grade, TTS captions, beat-sync, master, AI generate.
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This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add nira-video-mcp -- uvx nira-video-mcp
{
"mcpServers": {
"nira-video-mcp": {
"args": [
"nira-video-mcp"
],
"command": "uvx"
}
}
}
[mcp_servers.nira-video-mcp]
command = "uvx"
args = ["nira-video-mcp"]
{
"mcpServers": {
"nira-video-mcp": {
"args": [
"nira-video-mcp"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"nira-video-mcp": {
"args": [
"nira-video-mcp"
],
"command": "uvx"
}
}
}
This one needs environment variables set before it will start:
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).
The author declared them in the registry entry; get the values from the project itself.
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Answers built from our own checks of this server.