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uzaysozen

imdb-mcp-server

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

TableJSON Schema
NameRequiredDescriptionDefault
startYes

Implementation Reference

  • The main execution logic for the 'get_top_250_tv_shows' tool. It constructs the API URL, fetches data using the make_imdb_request helper, handles empty responses, paginates the results using paginated_response helper, and returns formatted JSON.
    @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)
  • Supporting utility function used by the tool to create a standardized paginated JSON response structure with a fixed page size of 5 items.
    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
        }
  • Key supporting utility that handles API requests to the IMDb backend, including caching via cache_manager, authentication with RapidAPI key, error handling, and response parsing. Called by the handler with the specific top250-tv URL.
    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}")
  • Invocation of register_tools(server) which defines the nested tool functions (including get_top_250_tv_shows) decorated with @mcp.tool() to register them on the FastMCP server instance. Similar call exists at line 61 for stdio mode.
    # Register all tools with the server
    register_tools(server)

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