How to Plan a Movie Marathon with OpenClaw
Use OpenClaw and ToolRouter to generate normalized marathon lineups from anchor films.
Tool
OpenClaw is ideal when the same marathon-planning pattern needs to repeat across many different theme nights. Use `blend_taste` to keep the schema consistent across runs.
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 anchor films, exclusion list, and output size before running.
- Run `similar-movies.blend_taste` and normalize the matched-seed and score fields.
- Store the output for comparison or reuse across different theme nights.
- Rerun with a fresh seed set whenever a new marathon theme is needed.
Example Prompt
Try this with OpenClaw using the Similar Movies tool
Use similar-movies to blend Heat, Collateral, and Drive into a normalized marathon lineup. Keep the matched-seed metadata so I can compare this lineup against other theme nights.
Tips
- Normalize output fields across runs to compare different marathon themes.
- Keep the blend to two to three seeds to maintain a coherent theme.
- Use the matched-seed count as a confidence signal for each marathon pick.