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Source channel @githubtrending · Post #14794 · Jun 5

#ruby The Model Context Protocol (MCP) is a way to connect AI systems with other tools and data sources securely. It helps developers build AI applications that can interact with external systems more easily. MCP uses a client-server model, allowing AI models to dynamically find and use tools without needing specific code for each integration. This makes it easier to develop and integrate AI applications, reducing the complexity and time needed for setup. Users benefit from more flexible and powerful AI tools that can work with various systems seamlessly. https://github.com/modelcontextprotocol/ruby-sdk

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Pro Analysis

@proanalysistrader · Post #28408 · 01/21/2025, 02:58 PM

#FIRO/USDT analysis : #FIRO is in an uptrend, trading above the 200 EMA. The price has retraced and tested the support zone. It is currently bouncing back from this zone, with expectations to resume bullish momentum and test the previous swing high. TF : 1D Entry : $1.850 Target : $2.840 SL : $1.367

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American Crypto©

@americancryptotrading · Post #27102 · 12/30/2024, 03:08 PM

🇺🇸#FIRO/USDT is trading above the fallingwedge formation on the weekly timeframe🔥 Pump is expected🚀 American Crypto©

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Coinlegs Cryptocurrency Signals

@coinlegs · Post #9696 · 01/09/2024, 06:21 AM

🐬DOLPHIN | AI PREDICTIONS 09.01.2024 06:00 GMT Expected 5% Profit/Loss in 24 Hours #NFP | 0.58321 | PP: 92% | LP: 9% #FIRO | 1.585 | PP: 90% | LP: 0% #GFT | 0.02027 | PP: 87% | LP: 100% #JTO | 1.7112 | PP: 86% | LP: 100% #NTRN | 1.5177 | PP: 78% | LP: 100% #ORDI | 74.726 | PP: 77% | LP: 100% #TIA | 15.578 | PP: 77% | LP: 100% #VANRY | 0.05837 | PP: 74% | LP: 96% #IQ | 0.00531 | PP: 66% | LP: 100% #MEME | 0.023135 | PP: 64% | LP: 90% #ACE | 8.2438 | PP: 28% | LP: 91% #ARK | 0.7136 | PP: 23% | LP: 91% ——————————————————————— Total Predictions: 366 PP > 50%: 328 LP > 50%: 18 PP > 60%: 202 LP > 60%: 17 PP > 70%: 54 LP > 70%: 16 PP > 80%: 36 LP > 80%: 16 PP > 90%: 1 LP > 90%: 9 ——————————————————————— PP: Profit Probability | LP: Loss Probability