mozichem-hub
Verified Safeby sinagilassi
Overview
A modular Python toolkit providing standardized APIs for chemical engineering and chemistry computations, enabling seamless integration with AI agents and LLM workflows to deliver reliable, validated results in domain-specific applications.
Installation
python examples/api/create-api.pySecurity Notes
The server's core functionality relies on external dependencies like `pyThermoDB` for parsing and executing mathematical expressions (e.g., vapor pressure equations defined as strings). While the direct source code provided for MoziChem-Hub does not show explicit unsafe use of `eval()` or similar functions on arbitrary user input through its APIs, the security of this crucial aspect is delegated to `pyThermoDB`. `yaml.safe_load` is used for reference configuration, which is good practice. No hardcoded secrets or direct shell injection vulnerabilities were identified in the provided truncated source code. Configuration of MCP servers in clients (like Claude Desktop or VS Code) requires absolute paths for script execution, which is a common security consideration for client-side configuration rather than a vulnerability in the server itself.
Similar Servers
fastapi_mcp
Automatically converts FastAPI endpoints into Model Context Protocol (MCP) tools for seamless integration with LLM agents.
Polymcp
A comprehensive TypeScript framework for building and orchestrating Model Context Protocol (MCP) servers and AI agents, enabling LLMs to intelligently discover, select, and execute external tools.
mcpc
Build and compose agentic Model Context Protocol (MCP) servers and tools, enabling AI assistants to discover, integrate, and orchestrate other MCP servers for complex tasks.
text2sim-MCP-server
The Text2Sim MCP Server enables Large Language Models (LLMs) to create, validate, and execute complex Discrete-Event Simulation (DES) and System Dynamics (SD) models through a natural language interface, providing comprehensive analytics and iterative model development capabilities.