DeepBoner
Verified Safeby The-Obstacle-Is-The-Way
Overview
AI-powered deep research agent specializing in sexual health, synthesizing evidence from biomedical literature across multiple public databases.
Installation
uv run python src/app.pyEnvironment Variables
- OPENAI_API_KEY
- HF_TOKEN
- NCBI_API_KEY
- LLM_PROVIDER
- OPENAI_MODEL
- HUGGINGFACE_MODEL
- OPENAI_EMBEDDING_MODEL
- LOCAL_EMBEDDING_MODEL
- MAX_ITERATIONS
- ADVANCED_MAX_ROUNDS
- ADVANCED_TIMEOUT
- SEARCH_TIMEOUT
- LOG_LEVEL
- CHROMA_DB_PATH
Security Notes
The server's security practices appear robust for its function. It leverages Pydantic for strong input validation, mitigating common injection risks. External API calls (PubMed, ClinicalTrials.gov, etc.) are managed with HTTPX/requests, timeouts, and retry middleware. Docker deployments run as a non-root user (`appuser`), enhancing container security. There are no obvious hardcoded secrets in the provided source code, with API keys explicitly managed via environment variables and `.env` files. No usage of `eval` or similar dangerous functions was detected, and the code is clear and well-structured, not obfuscated. The MCP server exposes specific, well-defined tools, which is its intended functionality.
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