Fal.ai MCP connector
The Fal.ai connector lets Claude, ChatGPT, Cursor, Microsoft Copilot, and any MCP client browse Fal.ai models, estimate and track model spend, review request history, and organize generated assets into collections, with every action logged under the person who made it.
- Connects with an API key
- Free 14-day trial
- No credit card
Which Fal.ai models cost us the most this month?
Working in Fal.ai with Elaichi
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List all Fal.ai models
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List all Fal.ai models pricings
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List all Fal.ai models usages
How to connect Fal.ai to Claude, ChatGPT, Cursor or Microsoft Copilot
Step by step, for each AI app
Fal.ai MCP connector for Claude
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1
Open Customize, then Connectors.
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2
Press Add.
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3
Name it, paste the MCP server URL, then Continue.
https://api.elaichi.ai/mcp -
4
Sign in and approve.
On Team and Enterprise, an Owner adds it once. Everyone else turns it on for themselves.
Fal.ai MCP connector for Claude Code
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1
In a terminal, run
claude mcp addwith the endpoint.https://api.elaichi.ai/mcp -
2
Start Claude Code and run
/mcp. -
3
Pick elaichi, then sign in and approve in the browser.
Terminal
$ claude mcp add --transport http elaichi --scope user https://api.elaichi.ai/mcp
Use --scope project instead to share it with the repository through .mcp.json.
Fal.ai MCP connector for ChatGPT
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1
Open Plugins, then press the + button.
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2
Name it and paste the endpoint into Server URL.
https://api.elaichi.ai/mcp -
3
Leave Authentication on OAuth, then tick the risk acknowledgement.
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4
Press Create, then sign in and approve.
Works on the web. The plugin directory lives at chatgpt.com/plugins.
Fal.ai MCP connector for Cursor
-
1
Open
~/.cursor/mcp.json. -
2
Add the endpoint under
mcpServers.https://api.elaichi.ai/mcp -
3
Reload Cursor, then sign in and approve.
~/.cursor/mcp.json
{
"mcpServers": {
"elaichi": {
"url": "https://api.elaichi.ai/mcp"
}
}
}
Set up per machine, so repeat it on each computer you work from.
Fal.ai MCP connector for Microsoft Copilot
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1
In Copilot Studio, open your agent, then Tools, Add a tool, New tool and Model Context Protocol.
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2
Paste the endpoint into Server URL, choose OAuth 2.0, then Dynamic discovery, and press Create.
https://api.elaichi.ai/mcp -
3
Create a new connection, sign in and approve, then press Add to agent.
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4
Under Channels, open Teams and Microsoft Copilot and make the agent available in Microsoft Copilot.
- Server URL
- https://api.elaichi.ai/mcp
- Authentication
- OAuth 2.0
- Type
- Dynamic discovery
Microsoft Copilot was called Microsoft 365 Copilot. Keep the tool on end-user credentials, so each person signs in as themselves.
Connect Fal.ai to any MCP client
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1
Add the endpoint as a remote MCP server.
https://api.elaichi.ai/mcp -
2
Sign in and approve.
{
"mcpServers": {
"elaichi": {
"url": "https://api.elaichi.ai/mcp"
}
}
}
The Elaichi Agent already has these tools, with nothing to set up.
What teams do with Fal.ai through Elaichi
Ask in plain English. Each person’s AI can do only what they’re allowed to, and every action it takes in Fal.ai is logged.
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Engineering
Pick the right model before you build
Ask which Fal.ai models are available for a task, compare their pricing side by side, and get a cost estimate for the volume you expect before anyone writes a line of code.
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Finance
Reconcile the month's Fal.ai bill
Pull billing events and usage by model for the period, match them against the invoice, and spot which endpoints drove the spike.
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Creative
Keep generated assets in order
Find assets by tag, group them into collections for a campaign or client, favorite the keepers, and move the rest where they belong.
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Product
See which endpoints are actually used
Review request analytics and per-endpoint traffic to learn which models your features lean on and which ones nobody calls anymore.
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Operations
Trace a failed or slow request
Search Fal.ai request history for a specific job, check what was sent and when, and clean out old request payloads in bulk when they are no longer needed.
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Engineering
Document and reuse existing workflows
List the workflows already set up in Fal.ai, open one to see how it is wired, and create a new one from a plain description of the steps.
Try asking
- “Which Fal.ai models cost us the most this month?”
- “Show failed Fal.ai requests by endpoint this week.”
- “List Fal.ai workflows created since Monday and their owners.”
What connecting Fal.ai gets you
6 screens from Elaichi, each doing one job for your Fal.ai account.
Ask Elaichi to work across your apps.
Which Fal.ai models cost us the most this month?
Show failed Fal.ai requests by endpoint this week.
List Fal.ai workflows created since Monday and their owners.
Also runs in Claude, ChatGPT, Cursor or Microsoft Copilot
The agent
Ask about Fal.ai runs, get answers.
Plain language questions answered from live Fal.ai models, workflows and requests.
Copy the endpoint
AI apps
Claude, ChatGPT, Cursor and Microsoft Copilot reach Fal.ai.
One org MCP endpoint over OAuth, no SDK and no shared API key.
Tool catalog
74 Fal.ai tools ready to call.
Models, pricing, workflows, assets and requests covered without custom code.
Toolboxes
Every team gets its own Fal.ai toolbox.
Toolboxes scoped per team, so each group sees the Fal.ai tools it needs.
Shared connections
Share a Fal.ai account, never the key.
See who connected each account and how many teams and members use it.
Audit log
Answer who called Fal.ai and when.
Append-only log of time, person, action, type and Fal.ai resource touched.
From answering questions to doing the work
A trigger starts the work, inside the same permissions and the same audit log as everything else. Automations, collections and live dashboards come with the Black plan.
Fal.ai digest
Run 418 · started 2 minutes ago · on behalf of Emily Carter
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✓
Schedule
Every weekday at 8:00 AM
0.2s -
✓
Fetch models
Fal.ai
1.4s -
✓
Group by owner
Transform
0.1s -
✓
Draft the digest
Agent step
Ran with 4 tools, returned a structured summary
6.2s -
Approve the digest
Needs approval
Assigned to Jake Morgan
Approve Deny -
Post the digest
Fal.ai
Queued
Automations
A schedule drafts your Fal.ai digest.
Six steps fetch requests, group them, draft, wait for approval, then post back.
Fal.ai health
Refreshed 4 minutes ago · every 15 minutes · from the models collection
Models
1,284 ↓ 12%
Workflows
96 ↓ 8%
Needs attention
3 ↑ 2
Updated this week
412 ↑ 9%
Models created
Last 14 days
By team
Share of activity
ML Engineering 34%
Platform 27%
Finance 21%
Product Analytics 18%
Collections and dashboards
Fal.ai usage counted, not asked for.
Four metrics, 14 days of workflow runs and a team breakdown, refreshed on schedule.
For IT and engineering
Elaichi vs Zapier MCP vs Composio for Fal.ai
All three can connect Fal.ai to an AI assistant, and all three have admin controls. They differ in where access lives and how you pay.
| What to check | Elaichi | Zapier MCP | Composio |
|---|---|---|---|
| Where the AI connects |
One address for the whole organization.
https://api.elaichi.ai/mcp
|
A server per member, created at sign-in. | An MCP endpoint per team, or an SDK. |
| Control over Fal.ai tools | Allow or restrict single Fal.ai tools, per role or user. | App and action restrictions on the account. | Role permissions, down to the action. |
| Record of calls | One audit entry per Fal.ai call. | A History tab of tool calls. | A log of every tool call. |
| Single sign-on | SAML or OIDC, plus SCIM, on Gold. | SAML on Enterprise. | SAML and OIDC on Enterprise. |
| Price | Free for one person; $15 per user per month on Gold. | 2 tasks per successful call. | Billed per tool call. |
Sources: Zapier MCP docs, security, usage; Composio docs, gateway, enterprise, pricing. Checked September 2026.
Longer take: Zapier MCP alternative and when you don't need an MCP gateway.
Fal.ai tools for your AI agents
74 tools are ready to call through Elaichi's MCP endpoint the moment you connect Fal.ai, governed by the same roles, restrictions, and audit log as everything else in Elaichi.
No tools match your search.
Questions, answered
How do I connect Fal.ai to Claude?
Connect Fal.ai in Elaichi first: you paste a Fal.ai API key into Elaichi, and that is the whole sign-in step, with no OAuth application to register and no client ID or secret to generate. Then in Claude go to Customize, then Connectors, then Add, and paste the endpoint https://api.elaichi.ai/mcp. Sign in to Elaichi when Claude asks, and Fal.ai is available in your conversations.
Does Fal.ai work with ChatGPT and Cursor as well as Claude?
Yes. Once Fal.ai is connected in Elaichi, the same endpoint, https://api.elaichi.ai/mcp, works in Claude, ChatGPT, Cursor, Microsoft Copilot, any other MCP client, and the Elaichi Agent. You connect Fal.ai once and every client picks it up.
What can an AI agent actually do with my Fal.ai data?
An agent can list the Fal.ai models you have access to, compare their prices, estimate what a batch of requests will cost, and report usage, analytics, and billing events by model or endpoint. It can search past requests, list and create workflows, and organize generated assets into collections, including favoriting, moving, or deleting a collection. Because Fal.ai exposes many actions, short concrete asks like "show usage by model for March" work better than long paragraphs.
Does connecting Fal.ai give the AI access to my whole Fal.ai account?
The agent works inside the access of the Fal.ai API key that was connected, so it can only see the models, requests, assets, and billing the key itself can see. Elaichi can narrow that further with per-action restrictions, for example allowing usage reports but not deletions. Elaichi never widens access beyond what Fal.ai already grants.
Can I stop an agent from deleting or changing things in Fal.ai?
Yes. Restrictions in Elaichi apply per action, so you can allow reading Fal.ai models, usage, and assets while restricting collection deletion or bulk removal of request payloads. A restricted action still appears in Elaichi's tool search, flagged as restricted, but Claude, ChatGPT, Cursor or Microsoft Copilot cannot run it, whatever the prompt says.
What happens to a Fal.ai connection when someone leaves?
Offboarding a person in Elaichi ends their access to Fal.ai and every other connector at once, without touching the Fal.ai key. A shared Fal.ai connection keeps working for everyone else on the team. If you ever want Fal.ai gone entirely, disconnecting it once in Elaichi removes it from Claude, ChatGPT, Cursor, Microsoft Copilot, and every other client at the same time.
Does the Fal.ai MCP connector work with Gemini, Codex, Claude Code or other MCP clients?
Yes. Fal.ai is reached over the same MCP endpoint every client uses, so anything that speaks MCP can call it — Gemini, Codex, Claude Code, Windsurf, Cline, Zed and OpenCode among them — alongside Claude, ChatGPT, Cursor, Microsoft Copilot, and the Elaichi Agent. The tools on offer and the access behind them are identical whichever client asks. Only the setup screen differs.
Is Elaichi an alternative to Zapier MCP for Fal.ai?
Yes. Both let Claude, ChatGPT or Cursor use Fal.ai. Zapier MCP fits a team that already automates in Zapier, since each person signs in and acts as themselves in that account. Elaichi fits when IT wants one address for the whole company, per-tool rules by role, and a record of every Fal.ai call.
How is Elaichi different from Composio for Fal.ai?
Composio gives AI agents tools and sign-in handling across 1,000+ apps, for developers building agents or people using an assistant, billed per tool call. Elaichi gives a company's own people governed access to Fal.ai: one address, restrictions per role or user, and $15 per user per month. Both have role permissions and a log of every call.
Put Fal.ai in front of your team
14 days of Black, no credit card. Connect it once and pick what each team can call.
When the trial ends, nothing is deleted. You move to the free Personal plan, and connections, roles and the audit log stay where they are.
Add one link to your AI app
The same link for everyone on your team.
https://api.elaichi.ai/mcp
ChatGPT
Claude
Cursor
Microsoft Copilot