It's an MCP (Model Context Protocol) server that connects Fal.ai to your AI, giving the agent tools to act on your data — through a single remote link.

Which AI clients does it work with?

Any MCP-compatible client: Claude (web, desktop and mobile), Cursor, ChatGPT with connectors, OpenClaw and other agents.

No. Paste the remote URL into your client, authenticate once, and you're done — no packages to install, no code to write.

Is it secure? Can the AI change my data?

Access is authorized by you and can be revoked anytime. Permissions follow what Fal.ai exposes; you approve them when connecting.

How much does it cost?

You start free and upgrade when you need more usage. Billing and limits are managed in your mcp.ai account.

Can I cancel anytime?

Yes. Plans are monthly and can be cancelled at any time, with no lock-in.

Fal.ai MCP Server and REST API

mcp.ai

Fal.ai

Connect your Fal.ai account and use 12 tools for AI models straight from your AI agent. Connect with your own API key. The generative media platform for developers with 600+ AI models for image, video, voice, and audio generation.

Install in your client

MCP server URL

https://api.mcp.ai/p_fal_ai

Secure connection via OAuth 2.0

Tools (12)

For developers

API & agent docs

Machine-readable docs to plug this server into an agent or call it over REST.

Skill (how to use)

Markdown: use via MCP or via the direct REST API.

Open

llms.txt

Agent-readable spec of this server.

Open

For agents

Install prompt — paste into Claude, ChatGPT, Cursor or any MCP agent and it sets itself up.

Open

Postman collection

Import the REST API into Postman.

Download

FAQ

Fal.ai

Tools (12)

API & agent docs

Frequently asked questions

Example prompts

Related tags

Fal.ai

Tools (12)

fal_ai_cancel_queue_requestTool to cancel a queued or in-progress request in fal.ai's queue system. Use when you need to stop a request before it completes. Note that cancellation only succeeds if the request hasn't started pro

fal_ai_estimate_pricingTool to estimate pricing for fal.ai model endpoints. Use when you need to calculate expected costs for API calls or unit-based usage across one or more endpoints.

fal_ai_get_jwksTool to retrieve public keys for webhook signature verification. Returns a JSON Web Key Set containing ED25519 public keys. Use when you need to verify webhook signatures from fal.ai. The keys are cac

fal_ai_get_modelsTool to discover and search fal.ai model endpoints. Use when you need to list all models, find specific models by ID, or search by category/query. Supports pagination and optional expansion of OpenAPI

fal_ai_get_pricingTool to retrieve unit pricing for model endpoints. Returns pricing information including unit price, billing unit, and currency. Use when you need to check costs for specific fal.ai models.

fal_ai_get_queue_request_resultTool to retrieve the final result of a completed queue request. Use when you need to get the output of a model request that was submitted to the queue and has finished processing. Only works after req

fal_ai_queue_get_statusTool to check the status of a queued request in fal.ai. Use when you need to monitor the progress of an async request. Returns different information based on status: queue position when IN_QUEUE, logs

fal_ai_queue_get_status_streamTool to stream request status updates via SSE. Use when you need real-time updates on a queued request's processing state.

fal_ai_run_model_syncTool to invoke a fal.ai model synchronously via fal.run, generating new content (images, audio, video, or other model outputs) hosted at fal.ai CDN URLs in the response. Each call executes paid infere

fal_ai_submit_async_jobTool to submit an asynchronous inference job to fal.ai's queue (queue.fal.run). Use when you want to run a model without blocking — fal.ai persists the request, auto-scales runners, and you fetch the

fal_ai_subscribe_async_jobTool to submit a fal.ai inference job to the async queue and block until it completes (or a deadline is reached), returning the model's final result. Mirrors fal-js's `subscribe()` ergonomics: SUBMIT_

fal_ai_upload_fileTool to upload an input media file (image, audio, or video) to fal.ai's CDN and return a public access_url that can be passed as a model input. Many fal.ai models accept a URL for inputs like 'image_u

API & agent docs

Frequently asked questions

What is Fal.ai MCP?

Which AI clients does it work with?

Do I need to code?

Is it secure? Can the AI change my data?

How much does it cost?

Can I cancel anytime?

Example prompts

Related tags