Fal.ai for AI agents
Fal.ai is a generative media platform giving developers access to hundreds of AI models for image, video, voice, and audio generation. Connect it once through Arc0, and your agent, or Claude, ChatGPT and Cursor, can use it through one MCP endpoint, limited to what each user approved.
What agents do in Fal.ai.
Run a model on new input
Run a chosen model synchronously to generate an image or audio clip from a user's prompt.
Check a queued job's status
Check the status of an async inference job before notifying the user it is ready.
Check pricing before a large job
Estimate pricing for a model run before submitting a batch job that could use many credits.
12 Fal.ai actions, graded by risk.
Every Fal.ai action is tagged read, write or destructive, so one policy covers the whole app and new actions inherit the right default.
read
5Look things up. Allowed by default.
- fal_ai.get_jwksGet JWKS for Webhook Verification
- fal_ai.get_modelsGet Models
- fal_ai.get_pricingGet Model Pricing
- fal_ai.get_queue_request_resultGet Queue Request Result
- fal_ai.estimate_pricingEstimate Pricing
write
6Create and change things. Allow, or ask the user first.
- fal_ai.upload_fileUpload Input File
- fal_ai.run_model_syncRun Model (Sync)
- fal_ai.queue_get_statusCheck Queue Request Status
- fal_ai.submit_async_jobSubmit Async Inference Job
- fal_ai.subscribe_async_jobSubscribe to Async Inference Job
- fal_ai.queue_get_status_streamStream Request Status Updates
destructive
1Delete, cancel or archive. Ask first, or deny outright.
- fal_ai.cancel_queue_requestCancel Queue Request
Fal.ai in three steps.
- 01Your users connect Fal.aiThey add their Fal.ai api key on Arc0 Connect, under your brand. It goes straight into the vault.
- 02You set the rulesReads run, writes like “upload Input File” can wait for the user, and “cancel Queue Request” can be denied outright.
- 03Any agent can actYour agent calls Fal.ai through the Arc0 SDK or MCP, and so can Claude, ChatGPT and Cursor. Every call lands on the audit log.
await arc0.policies.set('fal_ai', { read: 'allow', write: 'ask', // upload_file destructive: 'deny', // cancel_queue_request }) # Claude Code: the same connection, one URL $ claude mcp add --transport http arc0 \ https://mcp.arc0.ai/u/u_8f2
How Fal.ai connects.
Users add their Fal.ai api key on Arc0 Connect. It is encrypted in the vault, never shown to the model, and each user can rotate or revoke it at any time.
The same Fal.ai connection serves your agent over MCP and your own backend over REST and the proxy, so a user connects once. How Arc0 handles credentials →
- AUTH
- API key
- CREDENTIALS
- Per-tenant encrypted vault
- MODEL SEES
- Results only, never credentials
- AUDIT LOG
- Every call, on every plan
Use Fal.ai from any agent.
Fal.ai and Arc0, answered.
Can I use Fal.ai with Claude, ChatGPT or Cursor?
Yes. Connect Fal.ai to Arc0 once, then add your Arc0 MCP URL to Claude, ChatGPT, Cursor, Claude Code or any other remote-MCP client. Each assistant only gets the Fal.ai actions you allow.
How do users connect Fal.ai?
Users add their Fal.ai api key on Arc0 Connect. It is encrypted in the vault, never shown to the model, and each user can rotate or revoke it at any time.
Which Fal.ai actions can my agent take?
12 in total: 5 read, 6 write and 1 destructive, such as “upload Input File”. Your policies decide which of them each agent may call.
Can I stop my agent from deleting things in Fal.ai?
Yes. Actions like “cancel Queue Request” are graded destructive. Set destructive actions to deny, or to ask so the user approves each one, and blocked calls still show up on the audit log.
Can my own backend call Fal.ai too?
Yes. The same Fal.ai connection is available over REST and through the Arc0 proxy, so your product and your agent share one connection per user.
Plug Fal.ai into your agent.
Your users connect Fal.ai once, under your brand. Your agent gets 12 actions behind your policies, with every call on the record.
Free to build · MCP + REST · Audit log on every plan