AI systems often lose efficiency when overloaded with multiple integrations, leading to context clutter and reduced response quality. MCP360 solves this problem by intelligently routing each request to the right tool while keeping the AI’s context clean and optimized for performance. The platform maintains stable connections even when external APIs change or fail, allowing development teams to focus on building intelligent systems instead of fixing integrations. Built for scalability, MCP360 automatically adds new tools as they become available, requiring no extra setup from users. It works seamlessly with Claude Desktop, Cline, and any system that supports the Model Context Protocol (MCP) standard, enabling AI agents to perform real-world tasks efficiently without sacrificing accuracy or context quality.
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