dedalus-mcp-server

The provided `src/main.py` file implements simple utility tools with no inherent security risks like `eval` or direct network vulnerabilities. It demonstrates safe practices like handling input validation (`factorial`, `convert_temperature`) and includes asynchronous operations for I/O (`get_timestamp`). The project context (README, docs, tests, examples) indicates the server is designed to function as an AI-powered documentation server, which would involve API calls to LLMs (like OpenAI/Anthropic). While the specific `ask_docs` implementation for such AI features is not directly within the provided `src/main.py` block, the project's overall design promotes securing API keys via environment variables and includes rate-limiting mechanisms (as shown in `docs/guides/server/dedalus-deployment.md` and `tests/test_rate_limit.py`) to prevent API abuse. The codebase appears well-designed for security within its broader scope.