# falai-mcp-server

> Use this tool when you need to interact with AI models through natural language, enabling tasks such as model browsing, search, and inference. It solves problems related to model management and deployment, providing inputs such as text-based queries and outputs like model metadata and inference results. Ideal for use cases requiring intuitive model interaction, queue management, and content delivery.

Canonical page: https://skillsregistry.net/skills/berkbirkan-falai-mcp  
JSON: https://api.skillsregistry.net/v1/skills/berkbirkan-falai-mcp

## Description

A FastMCP server that exposes core fal.ai model API operations, enabling model catalogue browsing, search, schema retrieval, inference, queue management, and CDN uploads through natural language.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tm7plpf0rl)
- **Repository:** <https://github.com/berkbirkan/falai-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": "berkbirkan-falai-mcp"
    }
  }
}
```

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