MCP-server-project-jenkins-
Verified Safeby Ujjwal5200
Overview
An AI assistant providing specialized tools for math operations and code generation via a Model Context Protocol (MCP) server.
Installation
python MCP_server.pyEnvironment Variables
- google_api_key
Security Notes
The MCP server code does not contain explicit 'eval', 'exec', or direct system calls. Input validation is present for user queries before passing them to the LLM. Google API keys are loaded securely via environment variables using python-dotenv, preventing hardcoded secrets. The MCP server uses 'stdio' transport for communication, limiting direct network exposure. The main potential risk is the generation of malicious code by the LLM, which the server returns but does not execute. It is the responsibility of the client or end-user to handle generated code securely.
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