Claude Skills MCP Server

"""Configuration management for Claude Skills MCP server.""" import json import logging from pathlib import Path from typing import Any logger = logging.getLogger(__name__) DEFAULT_CONFIG = { "skill_sources": [ { "type": "github", "url": "https://github.com/anthropics/skills", }, { "type": "github", "url": "https://github.com/K-Dense-AI/claude-scientific-skills", }, { "type": "local", "path": "~/.claude/skills", }, ], "embedding_model": "all-MiniLM-L6-v2", "default_top_k": 3, "max_skill_content_chars": None, # None for unlimited, or an integer to limit "load_skill_documents": True, # Load additional files from skill directories "max_image_size_bytes": 5242880, # 5MB limit for image files "allowed_image_extensions": [".png", ".jpg", ".jpeg", ".gif", ".svg", ".webp"], "text_file_extensions": [ ".md", ".py", ".txt", ".json", ".yaml", ".yml", ".sh", ".r", ".ipynb", ".xml", ], } def load_config(config_path: str | None = None) -> dict[str, Any]: """Load configuration from file or use defaults. Parameters ---------- config_path : str | None Path to configuration JSON file. If None, uses DEFAULT_CONFIG. Returns ------- dict[str, Any] Configuration dictionary. """ if config_path is None: logger.info("No config file specified, using default configuration") return DEFAULT_CONFIG.copy() try: config_file = Path(config_path).expanduser().resolve() if not config_file.exists(): logger.warning(f"Config file {config_path} not found, using defaults") return DEFAULT_CONFIG.copy() with open(config_file, "r") as f: config = json.load(f) # Merge with defaults for any missing keys merged_config = DEFAULT_CONFIG.copy() merged_config.update(config) logger.info(f"Loaded configuration from {config_path}") return merged_config except Exception as e: logger.error(f"Error loading config from {config_path}: {e}") logger.info("Falling back to default configuration") return DEFAULT_CONFIG.copy() def get_example_config() -> str: """Get the default configuration as JSON string. Returns ------- str Default configuration in JSON format. """ # Add helpful comments for clarity config_with_comments = { "skill_sources": [ { "type": "github", "url": "https://github.com/anthropics/skills", "comment": "Official Anthropic skills - diverse examples with Python scripts, images, documents", }, { "type": "github", "url": "https://github.com/K-Dense-AI/claude-scientific-skills", "comment": "70+ scientific skills for bioinformatics, cheminformatics, and analysis", }, { "type": "local", "path": "~/.claude/skills", "comment": "Your custom local skills (optional - directory doesn't need to exist)", }, ], "embedding_model": "all-MiniLM-L6-v2", "default_top_k": 3, "max_skill_content_chars": None, "comment_max_chars": "Set to an integer (e.g., 5000) to truncate skill content, or null for unlimited", "load_skill_documents": True, "max_image_size_bytes": 5242880, "allowed_image_extensions": [".png", ".jpg", ".jpeg", ".gif", ".svg", ".webp"], "text_file_extensions": [ ".md", ".py", ".txt", ".json", ".yaml", ".yml", ".sh", ".r", ".ipynb", ".xml", ], } return json.dumps(config_with_comments, indent=2)