How to Find Similar Movies with OpenClaw
Use OpenClaw and ToolRouter to generate explainable movie shortlists from a single seed title.
Tool
OpenClaw is a good fit when the same recommendation pattern will be reused across many seeds or recurring runs. Use `find_similar` to keep the schema stable while cycling through many favorite titles.
Connect ToolRouter to OpenClaw
1Install the CLI
npm install -g toolrouter-mcp2Call tools directly from OpenClaw
toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp toolsSteps
Once connected (see setup above), use the Similar Movies tool:
- Define the seed title, output size, and any permanent ranking rules such as minimum score or no franchise repeats.
- Run `similar-movies.find_similar` and keep the shortlist fields normalized across calls.
- Review the ranked result set and rerun with tighter filters only when the shortlist is still too broad.
- Store the normalized output for reuse in editorial, automation, or personalization flows.
Example Prompt
Try this with OpenClaw using the Similar Movies tool
Use similar-movies to find movies like Inception, exclude same-collection results, and keep the output normalized so I can reuse the shortlist later.
Tips
- Normalize the shortlist from the first run if you plan to compare seeds later.
- Use the same `min_vote_average` threshold across repeated runs to keep quality consistent.
- This works best for targeted recommendation batches rather than open-ended browsing.