# fal.ai

> Use this tool when you need to access and manage generative AI workflows, execute AI models for tasks like image generation, or automate content creation. It solves problems related to discovering and utilizing cutting-edge AI models, handling long-running requests, and integrating with specialized AI marketplaces. The tool provides a unified interface for browsing models, retrieving parameters, generating content, and managing requests, accepting inputs like API keys and file uploads, and outputting generated content and request status.

Canonical page: https://skillsregistry.net/skills/derekalia-fal-ai  
JSON: https://api.skillsregistry.net/v1/skills/derekalia-fal-ai

## Description

This MCP server provides comprehensive access to fal.ai's AI model ecosystem, enabling AI assistants to discover, execute, and manage generative AI workflows through a unified interface. Built using Python with FastMCP, httpx for async HTTP operations, and support for both direct and queued model execution, it offers tools for browsing available models with pagination and search, retrieving OpenAPI schemas for model parameters, generating content with any fal.ai model including image generation and other AI tasks, and managing long-running requests through queue operations with status checking and cancellation. The implementation includes file upload capabilities to fal.ai's CDN storage, full streaming support via HTTP transport for real-time communication, and handles both authenticated operations requiring API keys and public model discovery, making it valuable for AI assistants that need access to cutting-edge generative models, automated content creation workflows, and scenarios requiring integration with fal.ai's specialized AI model marketplace.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/derekalia-fal-ai)
- **Repository:** <https://github.com/derekalia/fal>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "derekalia-fal-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/derekalia-fal-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/derekalia-fal-ai/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt