#python#agents#ai#ai_agents#llm#llms#mcp#model_context_protocol#python
The Model Context Protocol (MCP) is a standard way for AI agents to connect with different tools and data sources, making it much easier to build powerful AI applications without writing custom code for each integration[2][5]. The mcp-agent framework uses MCP to let you quickly create agents that can do things like read files, fetch web pages, or manage emails, and you can combine these agents in flexible ways to handle complex tasks. This means you can focus on what you want your AI to do, while mcp-agent takes care of connecting to the right tools and managing the workflow, saving you time and effort[3][5].
https://github.com/lastmile-ai/mcp-agent
#COTI/USDT analysis :
#COTI is currently forming higher highs (HHs) and higher lows (HLs) along the trendline. The price is consolidating above this trendline, suggesting a potential bounce back and a test of higher levels.
TF : 1W
Entry : $0.10200
Target : $0.18200
SL : $0.07670
#COTI/USDT analysis :
#COTI is in an uptrend, forming a structure of higher highs (HHs) and higher lows (HLs). The price has broken out and successfully retested the trendline, continuing its bullish trajectory. Currently, the price is trading above a minor resistance zone, which has now become a buy zone. It is anticipated that the price will rise further and test higher levels.
TF : 1H
Entry : $0.14450
Target : $0.16145
SL : $0.13292