# fal.ai MCP Server

> Use this tool when you need to manage and interact with AI models, enabling discovery, search, and generation of models through a unified interface. It solves problems of model management and integration, allowing clients like Claude Desktop to seamlessly connect with fal.ai services. The tool accepts input from MCP clients and outputs managed AI models and services, ideal for use cases requiring centralized AI model governance.

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

## Description

Enables discovery, search, generation, and management of AI models via fal.ai, allowing Claude Desktop and other MCP clients to interact with fal.ai services.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rqsmn3x45h)
- **Repository:** <https://github.com/derekalia/fal-mcp-ts>

## 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-mcp-ts"
    }
  }
}
```

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