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Summary
Cursor also uses the stdio transport and the same `mcpServers` config shape returned by `/api/v2/mcp/config?platform=cursor`.
Cursor configuration
{
"mcpServers": {
"videosearch": {
"command": "npx",
"args": ["@videosearch/mcp-server"],
"env": {
"VIDEOSEARCH_API_KEY": "sk_live_..."
}
}
}
}
Config path
The helper endpoint returns:
~/.cursor/mcp.json
Verification flow
- Save or merge the config.
- Restart Cursor.
- Open the MCP panel and verify that the
videosearchserver is connected.
Generated config endpoint
curl "/api/v2/mcp/config?platform=cursor" \
-H "Authorization: Bearer <verified-jwt>"
Use api_key_id=<key_id> when you want to pin the config to an existing API key instead of letting the helper choose or create one.
Related documentation
This guide connects AI clients to VideoVector tools for media retrieval, prompt execution, workflow inspection, and playground validation.
Claude Desktop uses the stdio transport. The public helper endpoint `/mcp/config` generates the same `mcpServers` JSON shape documented here.
The public MCP helper endpoints expose tool definitions, category groupings, platform-specific configs, and direct playground execution so you can validate integrations before deploying them.
