fal.ai MCP Server
MCP server for interacting with the fal.ai API — run AI models, submit jobs, and manage media generation workflows from Claude or any MCP-compatible client.
README
fal.ai MCP Server
MCP server for interacting with the fal.ai API — run AI models, submit jobs, and manage media generation workflows from Claude or any MCP-compatible client.
Setup
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
Create a .env file with your API key (get one at fal.ai/dashboard/keys):
FAL_API_KEY=your-api-key-here
Running
# stdio (default, for Claude Desktop / MCP clients)
python fal_mcp.py
# HTTP transport
python fal_mcp.py --transport streamable_http --port 8000
Claude Desktop Integration
Add to your claude_desktop_config.json:
{
"mcpServers": {
"fal": {
"command": "/path/to/venv/bin/python",
"args": ["/path/to/fal_mcp.py"],
"env": { "FAL_API_KEY": "your-api-key-here" }
}
}
}
Available Tools
| Tool | Description |
|---|---|
list_applications |
Browse available AI models and apps |
get_application |
Get schema and details for a specific app |
submit_job |
Queue a job with input parameters |
poll_job_status |
Check job status (QUEUED / IN_PROGRESS / COMPLETED / FAILED) |
get_job_result |
Retrieve output from a completed job |
cancel_job |
Cancel a queued or in-progress job |
list_queue_items |
List jobs in an application's queue |
get_job_logs |
Get execution logs for a job |
submit_batch_job |
Submit multiple jobs in parallel |
get_account_info |
View subscription and credit balance |
get_usage_stats |
View usage over the last N days |
Typical Workflow
list_applications (search: "image")
→ submit_job (application_id, input_data)
→ poll_job_status (request_id) [repeat until COMPLETED]
→ get_job_result (request_id)
Project Structure
fal_mcp.py # MCP server + tool definitions
fal_api_client.py # HTTP client for fal.ai API
models.py # Pydantic input/output models
requirements.txt # Dependencies
Environment Variables
| Variable | Required | Default |
|---|---|---|
FAL_API_KEY |
Yes | — |
FAL_API_URL |
No | https://api.fal.ai |
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