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fal.ai MCP Server

fal.ai MCP Server

by derekalia
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

upload

Upload a file to fal.ai CDN and receive a URL to use as input for AI model generation requests.

Instructions

Upload a file to fal.ai CDN for use with models. Returns a URL that can be used as input to generation requests.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "file_path": "<file_path>"
    },
    "name": "upload"
  }
}

Input Schema

NameRequiredDescriptionDefault
file_pathYesPath to the file to upload
content_typeNoOptional MIME type (auto-detected if not provided)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.1.4

TDQS

A3.7/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It discloses the basic action (upload) and return value (URL), but lacks details on file persistence, size limits, authentication, or error scenarios.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences that are direct and front-loaded with the core action. Every word adds value, with no redundancy or fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema and no annotations, the description covers the basic input/output but omits important context such as file size limits, whether the URL is temporary, and error handling. It is adequate but not fully comprehensive.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with both parameters already documented. The description does not add new meaning beyond the schema. It confirms the purpose of file_path and notes auto-detection for content_type, but no additional constraints or examples.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Upload a file'), the target ('fal.ai CDN'), and the purpose ('for use with models'). It distinguishes itself from sibling tools by being the only upload-focused tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context on when to use this tool (to upload files for model inputs) and what the return value is (a URL for generation requests). However, it does not explicitly mention when not to use it or alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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