Search FilmLune AI Visual Cases (MCP) with n8n HTTP

Search FilmLune AI Visual Cases on-demand with n8n (MCP) via HTTP

Need to quickly find reusable AI visual “cases” in FilmLune? This n8n workflow performs an on-demand search against FilmLune’s MCP catalog and returns a limited set of image results using a JSON-RPC HTTP request—ready for review or downstream automation.

What this workflow does

• Runs on demand using a Manual Trigger.
• Sends a POST request to https://filmlune.com/api/mcp/ via an HTTP Request node.
• Calls FilmLune’s MCP search_cases tool using JSON-RPC parameters (including mediaType: image and limit: 10).
• Returns the search response from FilmLune as the workflow output so you can inspect results or pass them to later steps.
• No credentials required, since the workflow uses FilmLune’s public, anonymous search_cases MCP tool.

Use cases

• Content sourcing for design workflows: search for relevant image-based FilmLune visual cases when you need inspiration or reusable assets.
• Prototype pipelines: quickly fetch a small set of candidates (e.g., top 10) before triggering other n8n steps for review or processing.
• SaaS operations & automation: integrate FilmLune search results into an internal dashboard or approval step without requiring authentication.
• Engineering experimentation: iterate on search parameters by editing the HTTP request body (mediaType, limit, or additional arguments).

Technical details

• Nodes / components: Manual Trigger, HTTP Request, Sticky Note.
• API interaction: JSON-RPC HTTP call to FilmLune MCP endpoint: https://filmlune.com/api/mcp/.
• Tool called: search_cases with mediaType and limit (default example includes mediaType: image, limit: 10).
• Network requirement: your n8n environment must be able to reach the endpoint over outbound HTTPS.