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fal.ai MCP by usefulapi MCP Server

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fal.ai MCP by usefulapi is answering right now. Last checked 4 min ago. It exposes 7 tools. Last commit 1 Nov 2026.

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

Uptime history 33 days of history
33 days agonow
100.0%
Uptime 24h
92 of 92 checks
7
Tools
read from the server
175 ms
Response time
average over 24h
1
Stars
last commit 1 Nov 2026

What changed 33

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 30 September 2026. No other catalogue keeps this.

31 Oct a tool changed version4 times that day
30 Oct a tool changed version2 times that day
29 Oct a tool changed version2 times that day
28 Oct a tool changed version2 times that day
27 Oct a tool changed version
25 Oct a tool changed version4 times that day
24 Oct a tool changed version3 times that day
23 Oct a tool changed version
22 Oct a tool changed version
20 Oct a tool changed version3 times that day
and 23 more, back to 30 September 2026

Nothing serious here today

Today is the operative word: we check fal.ai MCP by usefulapi every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 4 min ago.

run in your terminal
claude mcp add falai --transport http https://falai.usefulapi.io/mcp
Settings → Connectors → Add custom connector, then paste this address
https://falai.usefulapi.io/mcp
~/.codex/config.toml
[mcp_servers.falai]
url = "https://falai.usefulapi.io/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "falai": {
      "url": "https://falai.usefulapi.io/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "falai": {
      "type": "http",
      "url": "https://falai.usefulapi.io/mcp"
    }
  }
}

Available tools 7

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

falai
falai_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.
falai_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}.
falai_get_request_result
Get the final output of a COMPLETED queued request. fal.ai queue: GET {queue}/{model_id}/requests/{request_id}.
falai_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).
falai_list_models
List or search fal.ai models in the registry (paginated). fal.ai API: GET /models (query: keywords, page, total).
falai_run_model
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.
falai_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.

Endpoints

URLTransportStateLatencyChecked
https://falai.usefulapi.io/mcp streamable-http answering 202 ms 4 min ago

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fal.ai MCP by usefulapi — questions

Answers built from our own checks of this server.

What can fal.ai MCP by usefulapi do?
It exposes 7 tools, read directly from the server on our last check. Among them: falai_cancel_request, falai_get_model_schema, falai_get_request_result, falai_get_request_status, falai_list_models, falai_run_model and 1 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is fal.ai MCP by usefulapi working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 175 ms. The bar chart above shows every period we have measured.
How do I connect fal.ai MCP by usefulapi?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does fal.ai MCP by usefulapi need an API key?
No. fal.ai MCP by usefulapi completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 7 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is fal.ai MCP by usefulapi?
It answers our handshake in 175 ms on average, which is faster than 77% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is fal.ai MCP by usefulapi open source?
The code is open source: it is published under the MIT licence, written in JavaScript, 1 stars on GitHub and 1 open issue. The licence covers the code in the repository, not the hosted service at falai.usefulapi.io, which runs on its operator's own terms.