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get_top_250_tv_shows

Retrieve the top 250 TV shows from IMDb with pagination. Specify a starting index to get 5 shows at a time for efficient data access.

Instructions

Get the top 250 TV shows from IMDb with pagination. Args: start: The starting index (0-based) to retrieve TV shows from. Returns: JSON object containing 5 top TV shows starting from the specified index.

Input Schema

NameRequiredDescriptionDefault
startYes

Input Schema (JSON Schema)

{ "properties": { "start": { "title": "Start", "type": "integer" } }, "required": [ "start" ], "type": "object" }

Implementation Reference

  • The core handler function decorated with @mcp.tool() that implements the logic for fetching and paginating the top 250 TV shows from the IMDb API.
    @mcp.tool() async def get_top_250_tv_shows(start: int, ctx: Context) -> str: """Get the top 250 TV shows from IMDb with pagination. Args: start: The starting index (0-based) to retrieve TV shows from. Returns: JSON object containing 5 top TV shows starting from the specified index. """ top_250_tv_shows_url = f"{BASE_URL}/top250-tv" top_250_tv_shows_data = await make_imdb_request(top_250_tv_shows_url, {}, ctx) if not top_250_tv_shows_data: return "Unable to fetch top 250 TV shows data." return json.dumps(paginated_response(top_250_tv_shows_data, start, len(top_250_tv_shows_data)), indent=4)
  • Registers all tools, including get_top_250_tv_shows, by calling register_tools on the FastMCP server instance.
    # Register all tools with the server register_tools(server)
  • Core helper function called by the handler to perform the HTTP request to the IMDb API endpoint, including caching and API key handling.
    async def make_imdb_request(url: str, querystring: dict[str, Any], ctx: Optional[Context] = None) -> Optional[Dict[str, Any]]: """Make a request to the IMDb API with proper error handling and caching.""" # Check if it's time to clean the cache cache_manager.cleanup_if_needed() # Create a cache key from the URL and querystring cache_key = f"{url}_{str(querystring)}" # Try to get from cache first cached_data = cache_manager.cache.get(cache_key) if cached_data: return cached_data # Get API key from session config or fallback to environment variable api_key = None if ctx and hasattr(ctx, 'session_config') and ctx.session_config: api_key = ctx.session_config.rapidApiKeyImdb if not api_key: api_key = os.getenv("RAPID_API_KEY_IMDB") # Not in cache, make the request headers = { "x-rapidapi-key": api_key, "x-rapidapi-host": "imdb236.p.rapidapi.com", } if not api_key: raise ValueError("API key not found. Please set the RAPID_API_KEY_IMDB environment variable or provide rapidApiKeyImdb in the request.") try: response = requests.get(url, headers=headers, params=querystring, timeout=30.0) response.raise_for_status() data = response.json() # Cache the response cache_manager.cache.set(cache_key, data) return data except Exception as e: raise ValueError(f"Unable to fetch data from IMDb. Please try again later. Error: {e}")
  • Helper function used by the handler to create a standardized paginated JSON response with page size 5.
    def paginated_response(items, start, total_count=None): """Format a paginated response with a fixed page size of 5.""" if total_count is None: total_count = len(items) # Validate starting index start = max(0, min(total_count - 1 if total_count > 0 else 0, start)) # Fixed page size of 5 page_size = 5 end = min(start + page_size, total_count) return { "items": items[start:end], "start": start, "count": end - start, "totalCount": total_count, "hasMore": end < total_count, "nextStart": end if end < total_count else None }

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