# fal-mcp

> Use this tool when you need to discover and document AI models, particularly those from Fal.ai, to streamline development and integration. It solves problems of model discovery, schema retrieval, and documentation generation, making it easier for coding agents to work with AI models. The fal-mcp server takes model queries as input and outputs model listings, schemas, and documentation, ideal for use cases involving AI model integration and development.

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

## Description

A Model Context Protocol server for discovering and documenting Fal.ai models, enabling listing, schema retrieval, and documentation generation for coding agents.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rjq4txj8sr)
- **Repository:** <https://github.com/aryasaatvik/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": "aryasaatvik-fal-mcp"
    }
  }
}
```

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