LinkedIn MCP Server

"""Utility functions for the LinkedIn MCP server.""" import yaml from pathlib import Path class PromptLoadError(Exception): """Exception raised when a prompt file cannot be loaded.""" pass def get_prompts_directory() -> Path: """Get the path to the prompts directory.""" current_file = Path(__file__) return current_file.parent / "prompts" def load_prompt_from_yaml(prompt_name: str) -> str: """ Load a prompt from a YAML file in the prompts directory. Args: prompt_name: Name of the prompt file (without .yaml extension) Returns: str: The prompt content Raises: PromptLoadError: If the prompt file cannot be found or loaded """ prompts_dir = get_prompts_directory() prompt_file = prompts_dir / f"{prompt_name}.yaml" if not prompt_file.exists(): raise PromptLoadError(f"Prompt file not found: {prompt_file}") try: with open(prompt_file, 'r', encoding='utf-8') as f: prompt_data = yaml.safe_load(f) if not isinstance(prompt_data, dict): raise PromptLoadError(f"Invalid prompt file format: {prompt_file}. Expected a dictionary.") if 'prompt' not in prompt_data: raise PromptLoadError(f"Missing 'prompt' key in file: {prompt_file}") return prompt_data['prompt'] except yaml.YAMLError as e: raise PromptLoadError(f"Failed to parse YAML file {prompt_file}: {e}") except IOError as e: raise PromptLoadError(f"Failed to read file {prompt_file}: {e}")