# fal.ai MCP Server

> Use this tool when you need to interact with the fal.ai API for running AI models, submitting jobs, and managing media generation workflows. It solves problems related to automating AI workflows and integrating AI models with compatible clients like Claude. The tool accepts job submissions and model inputs, and outputs generated media and workflow status updates.

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

## Description

MCP server for interacting with the fal.ai API — run AI models, submit jobs, and manage media generation workflows from Claude or any MCP-compatible client.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w3k1b4iiip)
- **Repository:** <https://github.com/FritzHeider/Fal.ai.mcp>

## 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": "fritzheider-fal-ai-mcp"
    }
  }
}
```

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