https://msaid-cheurfa.dev/blog AI Engineer & Data Scientist based in Bordeaux, France. Building production-ready AI products, Multi-Agent Systems, and LLM-powered assistants. Available for consulting and freelance projects. en Tue, 11 Aug 2026 22:20:08 GMT https://msaid-cheurfa.dev/blog/tools-the-hands-of-ai https://msaid-cheurfa.dev/blog/tools-the-hands-of-ai Sun, 17 May 2026 18:14:24 GMT #IA #Agentique #ToolCalling #ContextEngineering #MCP #LLM https://msaid-cheurfa.dev/blog/context-engineering-the-invisible-skill-that-determines-whether-your-ai-agents-actually-work https://msaid-cheurfa.dev/blog/context-engineering-the-invisible-skill-that-determines-whether-your-ai-agents-actually-work Sun, 19 Apr 2026 20:54:37 GMT The one skill that separates production-grade AI agents from expensive hallucinations. context engineeringAIMachine learningAI Engineering https://msaid-cheurfa.dev/blog/ai-workflows-vs-agents https://msaid-cheurfa.dev/blog/ai-workflows-vs-agents Wed, 08 Apr 2026 12:53:22 GMT AILLMWorkflowsAgentsArchitectureEngineeringMulti-agent https://msaid-cheurfa.dev/blog/Integrating-MCP-Into-Your-Product-Why-Your-SaaS-Needs-Tool-Calling-AI https://msaid-cheurfa.dev/blog/Integrating-MCP-Into-Your-Product-Why-Your-SaaS-Needs-Tool-Calling-AI Tue, 23 Dec 2025 20:19:07 GMT In Part 1, we understood why MCP matters. In Part 2, we built a universal MCP client. In Part 3, we created the agentic layer. Now let's talk about why this matters for your product — and how to actually integrate it.test AIProductMCPAPILLMReactJSPython https://msaid-cheurfa.dev/blog/building-an-ai-agent-with-mcp-the-chatmanager-deep-dive-part-3 https://msaid-cheurfa.dev/blog/building-an-ai-agent-with-mcp-the-chatmanager-deep-dive-part-3 Sun, 21 Dec 2025 15:37:32 GMT In Part 1, we learned that MCP = Function Calling + Standardization. We saw how MCP servers expose tools and how clients communicate with them through JSON-RPC messages. In Part 2, we built a UniversalMCPClient that connects to any MCP server (stdio, SSE, or Streamable HTTP), discovers available tools, and executes them. But here’s what we haven’t solved yet: How do you make an AI that automatically decides which tools to use?(using mcp client) AIMCPLLM https://msaid-cheurfa.dev/blog/mcp-client-tutorial-connect-to-any-mcp-server-in-5-minutes-mcp-client-part2 https://msaid-cheurfa.dev/blog/mcp-client-tutorial-connect-to-any-mcp-server-in-5-minutes-mcp-client-part2 Sun, 21 Dec 2025 15:04:36 GMT You’ve read about MCP. You understand it’s “Function Calling + Standardization.” You’ve seen dozens of MCP servers on GitHub — Gmail, Slack, databases, weather APIs. Claude Desktop and Cursor have MCP client built-in. MCPAIPython https://msaid-cheurfa.dev/blog/mcp-function-calling-standardization-just-for-tools-mcp-client-part1 https://msaid-cheurfa.dev/blog/mcp-function-calling-standardization-just-for-tools-mcp-client-part1 Sat, 20 Dec 2025 21:00:06 GMT The Equation That Changes Everything AIMCP