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mozichem-hub

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by 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

Run Command
python examples/api/create-api.py

Security 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.

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Stats

Interest Score33
Security Score7
Cost ClassLow
Avg Tokens200
Stars3
Forks2
Last Update2025-12-14

Tags

chemical engineeringthermodynamicsAI agentsLLM integrationprocess modelingcomputational chemistryModel Context Protocol (MCP)FastAPI