automation-agent
Verified Safeby aroraavinash
Overview
This project demonstrates an LLM agent's ability to reason and execute tasks by interacting with an external server exposing various utility functions as tools.
Installation
python talk2mcp.pyEnvironment Variables
- GEMINI_API_KEY
Security Notes
The architecture allows an LLM to directly construct and execute tool calls with arguments, which carries inherent risks if the LLM's output is not rigorously sanitized. Specifically, the `create_thumbnail` tool takes an `image_path` string, which if controlled by the LLM, could potentially lead to attempts to access arbitrary files on the server's filesystem. While the current toolset is relatively benign, this pattern could be exploited if more sensitive tools are added or if the LLM can be prompted to provide malicious paths. No direct 'eval' or hardcoded secrets were found; API keys are loaded from environment variables, which is good practice.
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