Fal

by derekalia

212 downloads

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About

A Model Context Protocol (MCP) server for interacting with fal.ai models and services. Uses the latest streaming MCP support.

Details

Author: derekalia
Downloads: 212
Categories: Other

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Fal

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "fal": {
            "Fal": {
                "command": "none",
                "url": "http://127.0.0.1:6274/mcp/"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "fal": {
            "Fal": {
                "command": "none",
                "url": "http://127.0.0.1:6274/mcp/"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "fal": {
            "Fal": {
                "command": "none",
                "url": "http://127.0.0.1:6274/mcp/"
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "fal": {
            "Fal": {
                "command": "none",
                "url": "http://127.0.0.1:6274/mcp/"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "fal": {
            "Fal": {
                "command": "none",
                "url": "http://127.0.0.1:6274/mcp/"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "fal": {
            "Fal": {
                "command": "none",
                "url": "http://127.0.0.1:6274/mcp/"
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "fal": {
            "Fal": {
                "command": "none",
                "url": "http://127.0.0.1:6274/mcp/"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "fal": {
            "Fal": {
                "command": "none",
                "url": "http://127.0.0.1:6274/mcp/"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "fal": {
            "Fal": {
                "command": "none",
                "url": "http://127.0.0.1:6274/mcp/"
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "fal": {
            "Fal": {
                "command": "none",
                "url": "http://127.0.0.1:6274/mcp/"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "fal": {
            "Fal": {
                "command": "none",
                "url": "http://127.0.0.1:6274/mcp/"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "fal": {
            "Fal": {
                "command": "none",
                "url": "http://127.0.0.1:6274/mcp/"
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "fal": {
            "Fal": {
                "command": "none",
                "url": "http://127.0.0.1:6274/mcp/"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "fal": {
            "Fal": {
                "command": "none",
                "url": "http://127.0.0.1:6274/mcp/"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "fal": {
            "Fal": {
                "command": "none",
                "url": "http://127.0.0.1:6274/mcp/"
            }
        }
    }
}

From the repository

Install and configure the MCP server with your fal.ai credentials. Invoke tools using the MCP protocol to list models, generate content, manage queues, or upload files. The README does not specify exact configuration keys or commands.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "fal": {
            "Fal": {
                "command": "none",
                "url": "http://127.0.0.1:6274/mcp/"
            }
        }
    }
}

McpServers

{
    "Fal": {
        "command": "none",
        "url": "http://127.0.0.1:6274/mcp/"
    }
}

A Model Context Protocol (MCP) server for interacting with fal.ai models and services. Uses the latest streaming MCP support.

Features
- List all available fal.ai models
- Search for specific models by keywords
- Get model schemas
- Generate content using any fal.ai model
- Support for both direct and queued model execution
- Queue management (status checking, getting results, cancelling requests)
- File upload to fal.ai CDN
- Full streaming support via HTTP

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Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

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