The combination of Web3 and the influential Model Context Protocol (MCP) might just be a new foundation for decentralized AI, says Jesus Rodriguez, Co-founder of Sentora.

Model Context Protocol makes it far easier to integrate LLMs and your APIs. Let’s walk through how MCP clients and servers ...

Tech Centre ( proudly announces the launch of its new generation of locally engineered MCP (Model Context Protocol) servers—sophisticated AI-driven systems designed to bring unprecedented insight and ...

With an open, plug-and-play architecture, MCP is the key to enabling AI agents to interact seamlessly with external tools and ...

CAST has announced the early access launch of its CAST Imaging MCP server, providing a significant development within the AI ...

MCP (Model Context Protocol) is a standardized framework developed by Anthropic to enable secure, dynamic, and modular integration of large language models (LLMs) with external tools, systems, and ...

Anthropic’s Model Context Protocol (MCP) is an open standard designed to enable secure, two-way communication between tools and data sources. Its flexibility and efficiency make it a valuable ...

This integration tax is not unique: It’s the hidden cost of today’s fragmented AI landscape. Anthropic’s Model Context Protocol (MCP) is one of the first attempts to fill this gap.

With a new protocol called "Model Context Protocol" (MCP), Anthropic wants to create a standard with which AI chatbots can connect to external data sources. Chatbots should be able to both read ...