MCP server

fal.ai MCP by usefulapi

io.usefulapi/falai

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Run fal.ai models, poll the inference queue and read model schemas.

Website Source

At a glance

Type

MCP server

Publisher

usefulapi.io (verified by the MCP Registry)

Status

Working at last check

Tools

7

Token cost

About 1,444 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http falai https://falai.usefulapi.io/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.falai]
url = "https://falai.usefulapi.io/mcp"

Gemini CLI

{"mcpServers":{"falai":{"httpUrl":"https://falai.usefulapi.io/mcp"}}}

Cursor

{"mcpServers":{"falai":{"url":"https://falai.usefulapi.io/mcp"}}}

VS Code

{"servers":{"falai":{"type":"http","url":"https://falai.usefulapi.io/mcp"}}}

Antigravity

agy mcp add falai https://falai.usefulapi.io/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"falai","server_url":"https://falai.usefulapi.io/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"falai","server_url":"https://falai.usefulapi.io/mcp"}

Tools

• falai_cancel_request ~179 tokens
  Request cancellation of a queued (not-yet-started) request. Returns 202 { status: 'CANCELLATION_REQUESTED' }. fal.ai queue: PUT {queue}/{model_id}/requests/{request_id}/cancel.
• falai_get_model_schema ~152 tokens
  Get the OpenAPI 3 schema for a model — its input/output fields (components.schemas). Use this to learn what inputs a model accepts before submitting. fal.ai API: GET /openapi/queue/openapi.json?endpoint_id={model_id}.
• falai_get_request_result ~162 tokens
  Get the final output of a COMPLETED queued request. fal.ai queue: GET {queue}/{model_id}/requests/{request_id}.
• falai_get_request_status ~200 tokens
  Get the status of a queued request (IN_QUEUE | IN_PROGRESS | COMPLETED). fal.ai queue: GET {queue}/{model_id}/requests/{request_id}/status (optional logs=1).
• falai_list_models ~168 tokens
  List or search fal.ai models in the registry (paginated). fal.ai API: GET /models (query: keywords, page, total).
• falai_run_model ~339 tokens
  Convenience 'subscribe': submit a request, poll its status until COMPLETED, then return the result. Consumes fal credits. If it does not complete within the wait budget, returns a { status, request_id, status_url, note } object (NOT an error) so you can keep polling with falai_get_request_status / f
• falai_submit_request ~244 tokens
  Submit an inference request to the queue and return immediately (async — does NOT wait for completion). Returns { request_id, response_url, status_url, cancel_url, queue_position }. Consumes fal credits when the model runs. fal.ai queue: POST {queue}/{model_id} with body = the model input.

Browse

• OpenAPI tools
• APIs and testing

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