fal.ai MCP by usefulapi

io.usefulapiPublished by usefulapi.ioOfficial publisherv1.39.2Updated Nov 14, 2026

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

The publisher's own server: Ably MCP by usefulapi

VerifiedStreamable HTTPWeb executableMedia & DesignAI & ML

Overview

AI-generated overview

Hosted MCP server that lets an assistant list fal.ai models, read their input schemas, run inference and poll request results.

What you can do
  • List available fal.ai models and read each model's input schema
  • Submit inference requests, run models with subscription, and cancel requests
  • Check request status and fetch finished request results
  • Check monthly tool-call usage and send feature requests
  • Upgrade to a paid plan or cancel the Pro subscription
When to use it
Useful when you want an assistant to generate images or video, or run other fal.ai models, without writing API code yourself. Also handy for exploring which models exist and what inputs they expect before submitting a job.
Requirements
Remote streamable HTTP endpoint; no local install. Connect with the server URL only, then sign in through OAuth with your fal.ai credentials, which are validated and stored per user. A free plan allows 50 tool calls per month; paid plans are billed through Stripe Checkout.
Before you install
Write tools submit, run and cancel fal.ai requests, which may consume fal.ai credits and cost money; confirm before running them. The login page asks for your fal.ai credentials, so only enter them on the official sign-in flow. Paid plans are billed via Stripe, upgrades charge a prorated difference immediately, and cancellations give no refund for the current period.

Installation

In SourceWeft

  1. Open fal.ai MCP by usefulapi in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.usefulapi%2Ffalai/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "fal-ai-by-usefulapi": {
      "type": "http",
      "url": "https://falai.usefulapi.io/mcp"
    }
  }
}

README

fal.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 /mcp to log in.
  • VS Code: Add to VS Code.
  • Cursor and other clients: add the URL as a remote MCP server:
json
{  "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

ToolTypeWhat it does
falai_list_modelsreadList models
falai_get_model_schemareadGet model schema
falai_get_request_statusreadGet request status
falai_get_request_resultreadGet request result
falai_submit_requestwriteSubmit request
falai_run_modelwriteRun model (subscribe)
falai_cancel_requestwriteCancel request
falai_usage_statusmetaUsage status (free-tier meter)
falai_request_featuremetaRequest a missing feature
falai_upgrademetaUpgrade to Pro or Pro+
falai_cancel_subscriptionmetaCancel 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

PlanPriceLimit
Free$050 tool calls / month
Pro$9/mo or $90/yr (2 months free)10,000 tool calls / month
Pro+$39/mo or $390/yr (2 months free)100,000 tool calls / month

Each paid plan covers this server only. Ask your AI to run falai_upgrade and choose Pro or Pro+, billed monthly or yearly (it returns a Stripe Checkout link). If you already have Pro, ask to change it to Pro+. The change requires your confirmation, keeps your billing interval and charges the price difference for the rest of the period immediately. Cancel any time with falai_cancel_subscription: your paid plan continues to the end of the paid period, with no refund for the current period, and asking to resume the same plan with falai_upgrade before then undoes the cancel. Or write to [email protected].

License

MIT

Source: servers/falai/README.md at commit f22f848

Tools

7

falai_list_models

List models

List or search fal.ai models in the registry (paginated). fal.ai API: GET /models (query: keywords, page, total).

Parameterspagetotalkeywords

falai_get_model_schema

Get model schema

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}.

Parametersmodel_idrequired

falai_get_request_status

Get request status

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).

Parameterslogsmodel_idrequiredrequest_idrequired

falai_get_request_result

Get request result

Get the final output of a COMPLETED queued request. fal.ai queue: GET {queue}/{model_id}/requests/{request_id}.

Parametersmodel_idrequiredrequest_idrequired

falai_submit_request

Submit request

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.

Parametersinputrequiredmodel_idrequired

falai_run_model

Run model (subscribe)

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 / falai_get_request_result.

Parametersinputrequiredmodel_idrequiredmax_wait_secondspoll_interval_seconds

falai_cancel_request

Cancel request

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.

Parametersmodel_idrequiredrequest_idrequired

Version history

26
  1. v1.39.2LatestNov 14, 2026
  2. v1.39.1Nov 13, 2026
  3. v1.38.0Nov 12, 2026
  4. v1.37.3Nov 11, 2026
  5. v1.36.5Nov 8, 2026
  6. v1.36.4Nov 7, 2026
  7. v1.35.3Nov 5, 2026
  8. v1.35.2Nov 5, 2026
  9. v1.35.1Nov 4, 2026
  10. v1.35.0Nov 3, 2026
  11. v1.34.1Nov 3, 2026
  12. v1.33.0Nov 1, 2026
  13. v1.31.0Oct 31, 2026
  14. v1.30.0Oct 31, 2026
  15. v1.29.2Oct 30, 2026
  16. v1.29.0Oct 30, 2026
  17. v1.24.0Oct 26, 2026
  18. v1.21.3Oct 25, 2026
  19. v1.21.0Oct 25, 2026
  20. v1.20.0Oct 24, 2026
  21. v1.17.0Oct 23, 2026
  22. v1.16.4Oct 22, 2026
  23. v1.16.3Oct 21, 2026
  24. v1.11.1Oct 9, 2026
  25. v1.10.0Oct 9, 2026
  26. v1.0.0Sep 29, 2026

Score

100% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

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