Built on MCP streamable HTTP standards, the server delivers context-aware and JSON-encoded responses optimized for AI clients such as Copilots, AI chatbots, LLM-based IDEs and enterprise AI agents.
The Model Context Protocol (MCP) is redefining how artificial intelligence (AI) systems interact with external tools and services. By addressing the inherent limitations of large language models (LLMs ...
Even the best AI models are challenged to carry out tasks via MCP. New benchmarks show models struggle when tasks become more complex. More training of AI models is required that's specific to MCP use ...
Imagine a world where your AI tools don’t just work for you but work with each other—seamlessly, intelligently, and without the frustration of endless custom integrations. This isn’t a distant dream; ...
Opinions expressed are those of the author. When Anthropic open-sourced the Model Context Protocol (MCP) in late 2024, it ...
Carl is the CTO and co-founder at Avassa and obsesses over an edge orchestrator that application- and infrastructure teams alike can love. AI is no longer just a tool that reacts to prompts. With the ...
The creator behind the Ethereum layer-2 network ZKsync introduced a proposal to transform its ZK token from a governance ...
Key takeaways: x402 enables pay-per-use functionality on the internet.The current momentum is infrastructure-led, driven by ...
More processors on SoCs means more sophisticated cache control. This article describes formal techniques for verifying cache coherency for the ARM AMBA AXI Coherency Extensions (ACE) protocol. Fig 1.
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