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π‘ Description
This project implements an Agentic AI system hooking into various tools through a customizable Model Context Protocol (MCP) server based on the Groq LLM. It enhances the capabilities of large language models (LLMs) by providing contextual information from sources like Wikipedia, internet search (via Tavily API), and financial data (via Yahoo Finance API).
π JSON Entries
{
"mcpServers": [
{
"Agentic AI": {
"env": {
"GROQ_API_KEY": "<SECRET_NAME>",
"TAVILY_API_KEY": "<SECRET_NAME>"
},
"args": [],
"command": "uv run client.py"
}
}
]
}π οΈ Tools
Wikipedia SearchInternet Search (Tavily)Yahoo Finance
β‘ Features
- Central hub for access to various tools
- Integration of Wikipedia search for factual information
- Comprehensive web search capabilities via Tavily API
- Real-time stock and financial data through Yahoo Finance
π¬ Example Queries
- Tell me about the history of AI
- What are the latest developments in quantum computing?
- What is the current price of AAPL stock?