# fal-mcp

> Use this tool when you need to generate images in conversations using various models like FLUX Schnell, Ideogram, and SDXL, with optional privacy features via Venice.ai. It solves the problem of limited image generation capabilities in conversations by providing access to multiple models. The tool takes text inputs and produces generated images as outputs, making it ideal for applications requiring dynamic visual content.

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

## Description

Image generation for Claude using every model on fal.ai, inline in conversations. Supports FLUX Schnell, Ideogram, SDXL, and more with privacy option via Venice.ai.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-05-20

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cbatpo90xw)
- **Repository:** <https://github.com/questsystems-ai/fal-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": "questsystems-ai-fal-mcp"
    }
  }
}
```

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