Video Understanding MCP for Grok
io.github.granitebps/video-understanding-mcp
Let AI agents watch videos and answer questions about them through any OpenAI-compatible endpoint.
client:Grok
transport:stdio
runtime:npm
Install Video Understanding MCP in Grok
.mcp.json (in your project root)
{
"mcpServers": {
"video-understanding-mcp": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@granitebps/video-understanding-mcp"
],
"env": {
"VIDEO_BASE_URL": "<VIDEO_BASE_URL>",
"VIDEO_MODEL": "<VIDEO_MODEL>",
"VIDEO_API_KEY": "<VIDEO_API_KEY>",
"VIDEO_EXTRA_HEADERS": "<VIDEO_EXTRA_HEADERS>",
"VIDEO_PART_FORMAT": "<VIDEO_PART_FORMAT>",
"VIDEO_MAX_DURATION_SECONDS": "<VIDEO_MAX_DURATION_SECONDS>",
"VIDEO_MAX_UPLOAD_MB": "<VIDEO_MAX_UPLOAD_MB>",
"VIDEO_ALLOWED_DIRS": "<VIDEO_ALLOWED_DIRS>",
"VIDEO_VERIFY_MEDIA": "<VIDEO_VERIFY_MEDIA>"
}
}
}
}
Grok Build reads Claude Code's .mcp.json and Claude Desktop's config unchanged, so a server you have already set up there needs nothing new. The Grok web app and X integration do not take custom servers. Grok docs