Content Tools
vidia.kr
An MCP server for the VIdia video creation platform that lets users check account points/coupons, discover video production packages, retrieve package inputs, obtain production quotes, and start video creation runs.
ENDPOINT 1
https://vidia.kr/mcp
MCP server metadata
- Name
- kr.vidia/vidia
- Version
- 1.0.1
비디아(vidia.kr)로 AI 영상을 만듭니다. 순서: vidia_list_packages → vidia_get_package(입력 칸, asset 칸은 vidia_list_assets 의 파일 id) → vidia_quote(견적, 무료) → 사용자에게 금액 확인 → vidia_start_run(confirm: true) → vidia_get_run 으로 30초 이상 간격 확인 → 완성되면 vidia_get_downloads. 포인트가 드는 것은 vidia_start_run 뿐입니다.
Known tools 10
vidia_get_downloads완성된 제작의 결과물(완성 영상·썸네일·자막 등)과 1시간 동안 쓸 수 있는 다운로드 링크, 게시용 제목·설명을 받습니다.
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.kr-vidia-vidia]
url = "https://vidia.kr/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"kr-vidia-vidia": {
"type": "http",
"url": "https://vidia.kr/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: kr-vidia-vidia
Remote MCP URL: https://vidia.kr/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": {
"kr-vidia-vidia": {
"url": "https://vidia.kr/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"kr-vidia-vidia": {
"type": "http",
"url": "https://vidia.kr/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "kr-vidia-vidia",
"transport": "streamable-http",
"url": "https://vidia.kr/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.