Sherlog MCP

import json from functools import lru_cache from typing import Any from pydantic import Field from pydantic_settings import BaseSettings class Settings(BaseSettings): # type: ignore[misc] """Central application configuration loaded from environment variables. Add new configuration options here as regular attributes. Values can be supplied via the environment (see the *env* parameter on each Field) or a local .env file in the project root. """ log_level: str = Field( default="DEBUG", description="Root logging level for the MCP server.", alias="LOG_LEVEL", ) max_sessions: int = Field( default=4, description="Maximum number of concurrent sessions to maintain.", alias="MCP_MAX_SESSIONS", ) auto_reset_threshold: int = Field( default=200, description="Number of operations before automatic memory cleanup.", alias="MCP_AUTO_RESET_THRESHOLD", ) auto_reset_enabled: bool = Field( default=True, description="Enable automatic memory management for sessions.", alias="MCP_AUTO_RESET_ENABLED", ) max_output_size: int = Field( default=50000, description="Maximum output size per buffer in bytes.", alias="MCP_MAX_OUTPUT_SIZE", ) codebase_path: str | None = Field( default=None, description="Path to the codebase directory for code retrieval tools.", alias="CODEBASE_PATH", ) supported_languages: list[str] = Field( default=["java", "kotlin", "python", "typescript", "javascript", "cpp", "rust"], description="List of programming languages to analyze in the codebase. " "Supported: java, kotlin, python, typescript, javascript, cpp, rust", alias="SUPPORTED_LANGUAGES", ) external_mcps_json: str | None = Field( default=None, description="JSON string in Claude Desktop format containing external MCP server configurations", alias="EXTERNAL_MCPS_JSON", ) external_mcps: dict[str, dict[str, Any]] = Field( default_factory=dict, alias="EXTERNAL_MCPS", description="Configuration for external MCP servers loaded from EXTERNAL_MCPS_JSON", ) google_client_id: str = Field( default="", description="Google OAuth2 Client ID", alias="GOOGLE_CLIENT_ID", ) google_client_secret: str = Field( default="", description="Google OAuth2 Client Secret", alias="GOOGLE_CLIENT_SECRET", ) google_redirect_uri: str = Field( default="http://localhost:8000/auth/google/callback", description="Google OAuth2 Redirect URI", alias="GOOGLE_REDIRECT_URI", ) oauth_encryption_key: str = Field( default="", description="Fernet encryption key for OAuth token storage (base64 encoded)", alias="OAUTH_ENCRYPTION_KEY", ) oauth_storage_path: str = Field( default="/app/data/oauth_tokens", description="Path to store encrypted OAuth tokens", alias="OAUTH_STORAGE_PATH", ) def load_mcp_config(self) -> dict[str, dict[str, Any]]: """Load MCP configuration from EXTERNAL_MCPS_JSON environment variable. Returns: Dictionary of external MCP server configurations """ if not self.external_mcps_json: return {} try: config = json.loads(self.external_mcps_json) if isinstance(config, dict) and "mcpServers" in config: return config["mcpServers"] elif isinstance(config, dict): return config else: raise ValueError("EXTERNAL_MCPS_JSON must be a JSON object") except Exception: return {} model_config = { "env_file": ".env", "env_file_encoding": "utf-8", "case_sensitive": False, } @lru_cache def get_settings() -> Settings: """Return a cached `Settings` instance. Using an LRU cache guarantees that the environment is read only once and the same `Settings` object is reused everywhere, acting as a lightweight singleton without the pitfalls of global state. """ settings = Settings() settings.external_mcps = settings.load_mcp_config() print(settings.external_mcps) return settings settings = get_settings()