MCP server for Longtake Studio — let an AI agent shoot AI video (Seedance, Veo, Gemini Omni, Kling) on your own API key
接入配置
选择客户端，复制配置，再按项目文档补齐环境变量。
claude mcp add longtake --env STUDIO_URL='<STUDIO_URL>' --env STUDIO_TOKEN='<STUDIO_TOKEN>' -- npx -y longtake-mcp~/.codex/config.toml
[mcp_servers.longtake]
command = "npx"
args = ["-y", "longtake-mcp"]
env = { STUDIO_URL = "<STUDIO_URL>", STUDIO_TOKEN = "<STUDIO_TOKEN>" }
# codex mcp add longtake --env STUDIO_URL='<STUDIO_URL>' --env STUDIO_TOKEN='<STUDIO_TOKEN>' -- npx -y longtake-mcp~/.cursor/mcp.json
{
"mcpServers": {
"longtake": {
"command": "npx",
"args": [
"-y",
"longtake-mcp"
],
"env": {
"STUDIO_URL": "<STUDIO_URL>",
"STUDIO_TOKEN": "<STUDIO_TOKEN>"
}
}
}
}.vscode/mcp.json
{
"servers": {
"longtake": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"longtake-mcp"
],
"env": {
"STUDIO_URL": "<STUDIO_URL>",
"STUDIO_TOKEN": "<STUDIO_TOKEN>"
}
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"longtake": {
"command": "npx",
"args": [
"-y",
"longtake-mcp"
],
"env": {
"STUDIO_URL": "<STUDIO_URL>",
"STUDIO_TOKEN": "<STUDIO_TOKEN>"
}
}
}
}claude_desktop_config.json
{
"mcpServers": {
"longtake": {
"command": "npx",
"args": [
"-y",
"longtake-mcp"
],
"env": {
"STUDIO_URL": "<STUDIO_URL>",
"STUDIO_TOKEN": "<STUDIO_TOKEN>"
}
}
}
}.trae/mcp.json
{
"mcpServers": {
"longtake": {
"command": "npx",
"args": [
"-y",
"longtake-mcp"
],
"env": {
"STUDIO_URL": "<STUDIO_URL>",
"STUDIO_TOKEN": "<STUDIO_TOKEN>"
}
}
}
}需要的环境变量
STUDIO_URLSTUDIO_TOKEN
把占位值换成你自己的密钥；不要把密钥提交到代码仓库。