Run fal.ai models, poll the inference queue and read model schemas.
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add --transport http fal-ai-by-usefulapi https://falai.usefulapi.io/mcp~/.codex/config.toml
[mcp_servers.fal-ai-by-usefulapi]
url = "https://falai.usefulapi.io/mcp"
# codex mcp add fal-ai-by-usefulapi --url https://falai.usefulapi.io/mcp~/.cursor/mcp.json
{
"mcpServers": {
"fal-ai-by-usefulapi": {
"url": "https://falai.usefulapi.io/mcp"
}
}
}.vscode/mcp.json
{
"servers": {
"fal-ai-by-usefulapi": {
"type": "http",
"url": "https://falai.usefulapi.io/mcp"
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"fal-ai-by-usefulapi": {
"httpUrl": "https://falai.usefulapi.io/mcp"
}
}
}claude_desktop_config.json · Customize › Connectors › Add custom connector
{
"mcpServers": {
"fal-ai-by-usefulapi": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://falai.usefulapi.io/mcp"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"fal-ai-by-usefulapi": {
"url": "https://falai.usefulapi.io/mcp"
}
}
}