Use Studio chat to drive this server — credentials stay in your workspace.
FAL AI is a machine learning platform specializing in image and video generation through AI models. Access state-of-the-art generative AI models for creating visual content, including text-to-image, image-to-image, and video generation with fast, scalable API infrastructure.
Opens MCPBundles Studio with this server selected. After sign-in, chat and run tools from the same thread.
Browse all toolsDomain knowledge for FAL AI — workflow patterns, data models, and gotchas for your AI agent.
Same dashboard API key as the fal website. This bundle uses the queue HTTP API with Authorization: Key {api_key} and the fal Platform HTTP API (api.fal.ai/v1) for catalog and pricing.
request_id; use status then result (or a blocking run helper) depending on latency.endpoint_id, display metadata, and links to the model landing page.expand=openapi-3.0); payloads are large — use a small limit when listing models.mcp.fal.ai uses Bearer auth and overlapping capabilities; enable both if you want MCP-native clients and this REST bundle side by side.Cancel a fal queue job for endpoint_id + request_id.
Estimate run cost via fal platform pricing API. Pass request_body_json: a JSON object per OpenAPI (e.g. {"estimate_type":"historical_api_price","endpo...
Generate image using FAL AI FLUX model
Generate video from image using FAL AI Veo3 Image-to-Video model
Generate video using FAL AI Veo3 model
Generate image using FAL AI Nano Banana model from text prompt only
Generate new image from multiple input images using FAL AI Nano Banana model
Wait until the fal queue job completes (if needed) and return the final JSON result for endpoint_id + request_id.
Poll fal queue status for a given endpoint_id and request_id (from submit_fal_endpoint).
Get catalog metadata and unit pricing for a single fal endpoint_id (e.g. fal-ai/flux/dev). Returns description, category, model URL, and price rows. S...
Return fal list pricing for a model endpoint_id (USD per billing unit).
Get detailed information about a specific FAL request
List all FAL requests from remote API
Pass a natural-language task; searches the fal catalog and returns ranked models with metadata (same search backend as the hosted MCP recommend tool)....
Run any fal model endpoint_id with a JSON arguments object; waits until completion and returns the result. Prefer submit_fal_endpoint + status helpers...
Search fal's public documentation index (llms.txt) and return matching doc links. Does not run full-text search inside each page.
Search fal's live model catalog by free-text query and/or category. Returns endpoint IDs, display names, descriptions, and model URLs. Use pagination ...
Stream SSE events from a fal endpoint (POST .../stream). Only some models support streaming; max_events caps how many events are collected.
Submit a fal endpoint job without waiting. Returns request_id and fal queue URLs; use get_fal_endpoint_status / get_fal_endpoint_result / cancel_fal_e...
Upload a file to FAL storage from the characters directory
Upload a resource://files/{user}/{name} to FAL via MCP resource read
Download a file from a public HTTP(S) URL and upload it to fal's CDN. Returns access_url suitable for image_url / video_url parameters on models.
FAL AI is a machine learning platform specializing in image and video generation through AI models. Access state-of-the-art generative AI models for creating visual content, including text-to-image, image-to-image, and video generation with fast, scalable API infrastructure. It provides 22 tools 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. Authentication is handled automatically.
FAL AI provides 22 tools that can be called by AI agents, along with a SKILL.md that gives your AI agent domain knowledge about when and how to use them.
FAL AI uses API Key. FAL AI requires credentials. Connect via MCPBundles and authentication is handled automatically.
Connect FAL AI to any MCP client in minutes
Model Context Protocol lets AI tools call external capabilities securely through a single URL. This bundle groups tools behind an MCP endpoint that many clients can use.
Skip the manual setup! Use the .mcpb file format for one-click installation. Check the Claude Desktop tab for setup instructions.
Select ChatGPT, Cursor, Claude Code, or another tab for copy-paste config.
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