---
title: ToolRouter — Agent Use Case Guide
description: Step-by-step guide for completing a task with a specific AI agent using ToolRouter.
url: https://toolrouter.com/tools/similar-movies/use-cases/find-your-next-movie-after-a-favorite/copilot
---
# How to Find Similar Movies with Copilot

Copilot is strongest when the output needs to become a structured artifact in your workspace. Use `find_similar` to get the shortlist, then ask Copilot to turn it into markdown, JSON, or a watchlist block you can keep in a repo or note.

## Setup

{"mcpServers":{"toolrouter":{"command":"npx","args":["-y","toolrouter-mcp"]}}}

## Steps

1. Add ToolRouter to Copilot MCP config.
2. Tell Copilot which movie should act as the seed and what filtering rules to enforce.
3. Run `similar-movies.find_similar` and keep the returned `match_score`, `reasons`, and `tmdb_id` fields intact.
4. Ask Copilot to convert the shortlist into markdown or JSON for a watchlist, editorial note, or product payload.
5. Reuse the final shortlist wherever the recommendation set needs to live.

## Example Prompt

```
Use similar-movies to find movies like Arrival. Return the ranked shortlist plus a markdown table with title, year, match score, and why each movie matched.
```

## Tips

- Keep the structured result fields intact if the shortlist will be reused downstream.
- Use `page` and `limit` when you want to inspect a deeper slice without changing the seed.
- Copilot is useful when the movie shortlist needs to land in code, content, or data files.
