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.
Opens MCPBundles Studio with this server selected. After sign-in, chat and run tools from the same thread.
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.
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.
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.
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.
This server uses the MCP protocol with a live tool list. Tools are discovered when your MCP client connects (often after authentication), so they are not enumerated on this public page. Open Studio or connect from your client to see the tools available to your workspace.
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 MCP tools that your client discovers when it connects (this page may not list every tool name) that AI agents can use through the Model Context Protocol (MCP).
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.
fal MCP is a remote MCP server. The live tool list is supplied by the server when your MCP client connects, so the count is not fixed on this public page. After you connect in MCPBundles Studio or your client, you will see the tools your session can call. A SKILL.md is still included to guide your agent on capabilities and workflows.
fal MCP uses API Key. fal MCP requires credentials. Connect via MCPBundles and authentication is handled automatically.
Connect fal MCP to any MCP client in minutes
https://mcp.mcpbundles.com/bundle/fal-mcpThe link prefills the Add custom connector dialog — you still review the values and click Add, then Connect to complete OAuth.
fal MCP and paste the MCP URL into Remote MCP server URL.Custom connectors at claude.ai require a paid Claude plan (Pro, Max, Team, or Enterprise).
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Operate fal? You can take over the listing's metadata.
Take over this listing's metadata — name, description, category, logo, website, contact email, and skill content. Verification is a 6-digit code we email to one of the maintainer addresses your server already publishes in /.well-known/security.txt or /.well-known/mcpbundles.json. Free, takes about a minute.