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Artificial Intelligence

Fal.ai MCP connector

The Fal.ai connector lets Claude, ChatGPT, Cursor, 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.

  • How it connects. Connects with an API key. The credential goes into a vault nobody reads back.

  • One address. https://api.elaichi.ai/mcp, the same for every user.

  • Their own access. An agent never gets more than the person it acts for.

How to connect

How to connect Fal.ai to Claude, ChatGPT or Cursor

Two steps, about a minute.

1

In Elaichi

Connect Fal.ai once

  1. Open Connections, choose Add connection, and pick Fal.ai.

  2. Optionally set Share with to give a team access, then press Connect.

  3. Paste a Fal.ai API key. One person generates a token in Fal.ai and pastes it once. Everyone else works through Share with, and never sees it.

The credential is vaulted. Nobody reads it back, not even the AI.

Add connection

Choose a connector.

fal.ai
Fal.ai
AirOps
Algolia
Botpress
Chatvolt
Cohere
2

In your AI client

Point it at one endpoint

Everyone in the organization uses the same address, and each person only ever reaches what their own account allows.

Connect Fal.ai to Claude

  1. 1

    Open Customize, then Connectors.

  2. 2

    Press Add.

  3. 3

    Name it, paste the MCP server URL, then Continue.

    https://api.elaichi.ai/mcp
  4. 4

    Sign in and approve.

On Team and Enterprise, an Owner adds it once. Everyone else turns it on for themselves.

Connect Fal.ai to ChatGPT

  1. 1

    Open Plugins, then press the + button.

  2. 2

    Name it and paste the endpoint into Server URL.

    https://api.elaichi.ai/mcp
  3. 3

    Leave Authentication on OAuth, then tick the risk acknowledgement.

  4. 4

    Press Create, then sign in and approve.

Works on the web today. The plugin directory lives at chatgpt.com/plugins.

Connect Fal.ai to Cursor

  1. 1

    Open ~/.cursor/mcp.json.

  2. 2

    Add the endpoint under mcpServers.

    https://api.elaichi.ai/mcp
  3. 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.

Connect Fal.ai to any MCP client

  1. 1

    Add the endpoint as a remote MCP server.

    https://api.elaichi.ai/mcp
  2. 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.

Use cases

What teams do with Fal.ai through Elaichi

Every one of these runs inside the access the person already has, and lands in the same audit log.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.”

See all 74 Fal.ai tools below

AI tools

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.

See it in Elaichi

What connecting Fal.ai gets you

6 screens from the product, each doing one job for your Fal.ai account.

The agent

Ask about Fal.ai runs, get answers.

Plain language questions answered from live Fal.ai models, workflows and requests.

  • models
  • workflows
  • requests
  • assets

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 or Cursor

MCP clients

Claude, ChatGPT and Cursor reach Fal.ai.

One org MCP endpoint over OAuth, no SDK and no shared API key.

ElaichiMCP clients
Claude ChatGPT Cursor

Copy the endpoint

https://api.elaichi.ai/mcp
Client Connected by Status Last used
Claude
E

Emma Laurent

• Connected 4 minutes ago
Cursor
S

Sofia Ricci

• Connected 2 hours ago
ChatGPT
C

Clara Nowak

• Connected Yesterday

Tool catalog

74 Fal.ai tools ready to call.

Models, pricing, workflows, assets and requests covered without custom code.

  • List all Fal.ai models
  • List all Fal.ai models pricings
  • Create a Fal.ai pricing estimate
  • List all Fal.ai models usages
ElaichiTools
Tool Action Description
List all Fal.ai models List List and search fal model endpoints. Returns a model object with endpoint_id and metadata. No required parameters. Supports filtering by endpoint_id, q, category, status, and expand.
List all Fal.ai models pricings List List pricing for fal model endpoints. Returns: next_cursor, has_more, prices. Accepts 1-50 endpoint IDs. Required: endpoint_id.
Create a Fal.ai pricing estimate Create Estimate usage costs for fal endpoints. Returns: estimate_type, total_cost, currency. Use historical_api_price with call_quantity per endpoint, or unit_price with unit_quantity per endpoint.
List all Fal.ai models usages List List fal model usage records for your workspace. Returns paginated time_series buckets, next_cursor, and has_more. Optional: start, end, endpoint_id, api_key_id, login_username, timeframe, expand.
List all Fal.ai models analytics List List time-bucketed analytics for fal model endpoints. Returns time_series buckets with per-bucket metrics (request_count, success_count, latency percentiles, error breakdowns), plus next_cursor and has_more. Use expand to choose which metrics are populated. Required: endpoint_id.

Toolboxes

Every team gets its own Fal.ai toolbox.

Toolboxes scoped per team, so each group sees the Fal.ai tools it needs.

  • ML Engineering
  • Platform
  • Finance
  • Product
ElaichiToolboxes
Name Source template Tools Created

ML Engineering toolbox

Fal.ai · models and workflows

Fal.ai starter 18 Mar 4, 2026

Platform toolbox

Fal.ai · endpoints and requests

9 Mar 2, 2026

Finance toolbox

Fal.ai · pricing and billing events

24 Feb 27, 2026

Product toolbox

Fal.ai · usage and analytics

Fal.ai starter 6 Feb 19, 2026

Creative toolbox

Fal.ai · assets and outputs

31 Jan 30, 2026

Support toolbox

Fal.ai · request searches and payloads

12 Jan 22, 2026

Shared connections

Share a Fal.ai account, never the key.

See who connected each account and how many teams and members use it.

  • ML Engineering
  • Platform
  • Finance
  • Product Analytics
ElaichiConnections
Connection Scope Status Access
FA

Fal.ai (ML Engineering)

Connected by Emma Laurent

Personal • Active 1 team · 6 members
FA

Fal.ai (Platform)

Connected by James Whitfield

Organization • Active 3 teams · 24 members
FA

Fal.ai (Finance)

Connected by Sofia Ricci

Organization • Active 2 teams · 11 members
FA

Fal.ai (Product Analytics)

Connected by Daniel Ortega

Personal • Needs re-auth 1 team · 3 members
FA

Fal.ai (Creative Studio)

Connected by Clara Nowak

Personal • Active Not shared
FA

Fal.ai (Support)

Connected by Michael Brennan

Personal • Active 2 teams · 9 members

Audit log

Answer who called Fal.ai and when.

Append-only log of time, person, action, type and Fal.ai resource touched.

  • When
  • Who
  • What happened
  • Type
ElaichiAudit log
When Who What happened Type

2 minutes ago

Mar 6, 2026, 3:10 PM

E

Emma Laurent

[email protected]

Restriction Created Access

8 minutes ago

Mar 6, 2026, 3:04 PM

J

James Whitfield

[email protected]

Restriction Updated Access

14 minutes ago

Mar 6, 2026, 2:58 PM

S

Sofia Ricci

[email protected]

Role Assigned Access

20 minutes ago

Mar 6, 2026, 2:52 PM

D

Daniel Ortega

[email protected]

Fal.ai Users Updated MCP

26 minutes ago

Mar 6, 2026, 2:46 PM

C

Clara Nowak

[email protected]

Fal.ai Models Created MCP

32 minutes ago

Mar 6, 2026, 2:40 PM

M

Michael Brennan

[email protected]

Fal.ai Models List Toolbox

Launching soon

From answering questions to doing the work

A person no longer has to ask. A trigger starts the work, inside the same permissions and the same audit log as everything else. Automations and live dashboards are launching soon, on the Black plan.

Automations

A schedule drafts your Fal.ai digest.

Six steps fetch requests, group them, draft, wait for approval, then post back.

Fal.ai digest

Run 418 · started 2 minutes ago · on behalf of Emma Laurent

  1. Schedule

    Every weekday at 08:00

    0.2s
  2. Fetch models

    Fal.ai

    1.4s
  3. Group by owner

    Transform

    0.1s
  4. Draft the digest

    Agent step

    Ran with 4 tools, returned a structured summary

    6.2s
  5. Approve the digest

    Needs approval

    Assigned to Michael Brennan

    Approve
  6. Post the digest

    Fal.ai

    Queued

Collections and dashboards

Fal.ai usage counted, not asked for.

Four metrics, 14 days of workflow runs and a team breakdown, refreshed on schedule.

Fal.ai health

Refreshed 4 minutes ago · every 15 minutes · from the models collection

Live

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%

FAQ

Frequently asked questions

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, 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 my team share one Fal.ai connection?

Yes. One person connects Fal.ai in Elaichi and shares the connection with a team, and nobody else ever handles the Fal.ai API key. Each teammate still signs in to Elaichi as themselves, so the audit log names the actual person behind every request, even though the connection is shared.

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 blocking collection deletion or bulk removal of request payloads. A blocked action is never advertised to Claude, ChatGPT, or Cursor at all, so no prompt, however worded, can reach it.

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, and every other client at the same time.

Put Fal.ai in front of your team

Fourteen days on Gold, no credit card. Connect it once and pick what each team can call.