About fal.ai MCP by usefulapi
fal.ai MCP by usefulapi is a hosted MCP server for using fal.ai models from MCP clients. It supports inference submission and queue checks, along with model schema lookup, without local installation.
Key features
- 01List fal.ai models
- 02Read model schemas
- 03Submit and run model requests
- 04Check request status and results
- 05Cancel requests
Use cases
- 01Find available models and their input schemas
- 02Submit inference and retrieve its result
MCP support
The remote MCP endpoint exposes tools for listing fal.ai models, reading schemas, and managing inference requests. Users sign in through OAuth with their fal.ai credentials.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://falai.usefulapi.io/mcpclaude mcp add --transport http io-usefulapi-falai https://falai.usefulapi.io/mcp{"mcpServers":{"io-usefulapi-falai":{"type":"http","url":"https://falai.usefulapi.io/mcp"}}}Open in Cursor{"servers":{"io-usefulapi-falai":{"type":"http","url":"https://falai.usefulapi.io/mcp"}}}Open in VS Code{"mcpServers":{"io-usefulapi-falai":{"type":"http","url":"https://falai.usefulapi.io/mcp"}}}{"mcpServers":{"io-usefulapi-falai":{"serverUrl":"https://falai.usefulapi.io/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
7| Parameter | Type | Required | Description |
|---|---|---|---|
| page | integer | No | 1-based page number (default 1). |
| total | integer | No | Page size (number of models per page). |
| keywords | string | No | Optional search string to filter models by. |
Details
From the project READMEfal.ai MCP by usefulapi
Run fal.ai models, poll the inference queue and read model schemas. Hosted, no local install.
Live endpoint: https://falai.usefulapi.io/mcp · Homepage: https://usefulapi.io
Connect
- Claude (claude.ai, Desktop): open Customize → Connectors, click + Add → Add custom connector, and paste
https://falai.usefulapi.io/mcp. - Claude Code:
claude mcp add --transport http falai https://falai.usefulapi.io/mcp, then run/mcpto log in. - VS Code: Add to VS Code.
- Cursor and other clients: add the URL as a remote MCP server:
{
"mcpServers": {
"falai": {
"url": "https://falai.usefulapi.io/mcp"
}
}
}
Add only the URL. Do not add an Authorization header or an API key to the client config: the server signs you in with OAuth, and the login page asks for your fal.ai credentials.
Step-by-step setup, where to find your credentials, and FAQ: https://usefulapi.io/falai/
On first connect you'll paste your fal.ai credentials. They are validated, stored per-user, and scoped to you — no keys in config files.
Tools
| Tool | Type | What it does |
|---|---|---|
falai_list_models | read | List models |
falai_get_model_schema | read | Get model schema |
falai_get_request_status | read | Get request status |
falai_get_request_result | read | Get request result |
falai_submit_request | write | Submit request |
falai_run_model | write | Run model (subscribe) |
falai_cancel_request | write | Cancel request |
falai_usage_status | meta | Usage status (free-tier meter) |
falai_request_feature | meta | Request a missing feature |
falai_upgrade | meta | Upgrade to Pro (unlimited*) |
falai_cancel_subscription | meta | Cancel the Pro subscription |
read tools are read-only; write tools mutate data (clients should confirm them); meta tools report usage, manage your subscription or send a feature request.
Pricing
| Plan | Price | Limit |
|---|---|---|
| Free | $0 | 50 tool calls / month |
| Pro | $9/mo or $90/yr (2 months free) | Unlimited* |
*Pro has a fair use limit of 10,000 tool calls a month on this server. For more, write to [email protected].
Pro covers this server only. Subscribe with falai_upgrade (it returns a Stripe Checkout link). Cancel any time with falai_cancel_subscription: Pro continues to the end of the paid period, with no refund for the current period, and running falai_upgrade before then undoes the cancel. Or write to [email protected].
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.