Machine Learning

fal MCP Server

Connect your account, then chat with AI to run tools.

fal's official hosted Model Context Protocol server: search 1,000+ generative models, read schemas and pricing, run inference, submit long jobs, upload inputs, and search fal docs. Stateless HTTP MCP on Vercel; each request carries your API key.

Agent guide included

Opens MCPBundles Studio with this server selected. After sign-in, chat and run tools from the same thread.

AI Skill
SKILL.md

Domain knowledge for fal MCP — workflow patterns, data models, and gotchas for your AI agent.

This provider gives you access to fal.ai's full catalog of generative AI models. You can discover models across categories like text-to-image, image-to-video, audio generation, and 3D creation, then run inference jobs with proper input validation and cost awareness.

Core Capabilities

Model Discovery & Research: Search the live model catalog by category, capability, or use case. Get detailed input/output schemas, pricing information, and model recommendations based on what you want to create.

Content Generation: Execute any model in the fal.ai catalog — from image generation and editing to video creation, audio synthesis, and 3D model generation. Handle both quick synchronous jobs and long-running asynchronous workflows.

Asset Management: Upload files to fal.ai's CDN for use as model inputs. Essential for image-to-image, video editing, and other workflows that require existing media as starting points.

Documentation Access: Search fal.ai's documentation for implementation guides, API references, and code examples when you need deeper technical details.

Workflow Patterns

Use async job submission for expensive operations like video generation — submit the job, get a request ID, then poll for completion. Always check pricing before running costly models. The provider includes guided prompt templates for common workflows like product photography, image animation, and creative upscaling.

Domain Model

Models are organized by capability categories and accept structured input parameters. Jobs can be synchronous (quick results) or asynchronous (queued execution). All file inputs should be accessible URLs, either uploaded to fal.ai's CDN or hosted externally.

Frequently Asked Questions

What is the fal MCP server?

fal's official hosted Model Context Protocol server: search 1,000+ generative models, read schemas and pricing, run inference, submit long jobs, upload inputs, and search fal docs. Stateless HTTP MCP on Vercel; each request carries your API key. It provides tools that AI agents can use through the Model Context Protocol (MCP).

How do I connect fal MCP to my AI agent?

Add the MCPBundles server URL to your MCP client configuration (Claude Desktop, Cursor, VS Code, etc.). The URL format is: https://mcp.mcpbundles.com/bundle/fal-mcp. Authentication is handled automatically.

What authentication does fal MCP require?

fal MCP uses API Key. fal MCP requires credentials. Connect via MCPBundles and authentication is handled automatically.

Setup Instructions

Connect fal MCP to any MCP client in minutes

https://mcp.mcpbundles.com/bundle/fal-mcp

One-click install:

The link prefills the Add custom connector dialog — you still review the values and click Add, then Connect to complete OAuth.

Or add manually

  1. Open claude.ai → Settings → Connectors.
  2. Click the + button and choose Add custom connector.
  3. Set Name to fal MCP and paste the MCP URL into Remote MCP server URL.
  4. Click Add. fal MCP will appear under Not connected — select it and click Connect to complete OAuth.
Name: fal MCP
Remote MCP server URL: https://mcp.mcpbundles.com/bundle/fal-mcp
Authentication: OAuth

Custom connectors at claude.ai require a paid Claude plan (Pro, Max, Team, or Enterprise).

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fal MCP Server & Skill