AI & Machine Learning
avydai.com
Helps users plan, explore styles, and generate AI videos using Avyd's tools.
ENDPOINT 1
https://www.avydai.com/api/mcp
Known tools 4
prepare_avyd_video_promptUse this when a user asks to plan, refine, or prepare an Avyd video prompt before rendering.
Inferred read-onlyexplore_avyd_video_stylesUse this when a user wants prompt ideas, motion styles, or examples before choosing what AI video to generate in Avyd.
Inferred read-onlygenerate_avyd_videoUse this only when a signed-in user explicitly asks Avyd to generate a new AI video.
Inferred read-onlycheck_avyd_video_statusInternal widget helper for refreshing the status of a video render previously queued by Avyd.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.avydai-com]
url = "https://www.avydai.com/api/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"avydai-com": {
"type": "http",
"url": "https://www.avydai.com/api/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: avydai-com
Remote MCP URL: https://www.avydai.com/api/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"avydai-com": {
"url": "https://www.avydai.com/api/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"avydai-com": {
"type": "http",
"url": "https://www.avydai.com/api/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "avydai-com",
"transport": "streamable-http",
"url": "https://www.avydai.com/api/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for avydai.com was fetched 2026-07-26T06:14:07.388Z and is being refreshed.
avydai.com is assessed as Trusted: Domain runs a meaningful technology spend, consistent with a real business.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.