mcpresearch
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Overview
An MCP-compliant server designed for learning, experimentation, and integration with an AI platform, providing placeholder tools, resources, and prompts.
Installation
python -m src.mainSecurity Notes
The server's current implementation is minimal with placeholder logic for most tools, resources, and database/backend interactions, which limits immediate attack surface. It uses standard Python libraries and FastMCP SDK. The `backend_client` uses `httpx` with `response.raise_for_status()` for basic error handling and has a hardcoded internal Docker network URL (`http://backend:8000`), which is appropriate for a containerized setup. No obvious 'eval', 'exec', or direct command injection vectors are present in the provided source code. Future expansions, especially when filling in placeholder implementations for actual database queries, external API calls, or agent logic, will require careful security review.
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