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 ...

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 ...

Avaya, a global leader in enterprise software solutions, announces that Avaya Infinity™ platform will support Model Context ...

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 has released a new open-source tool to connect AI assistants directly to the information they need to inform their responses or carry out tasks. The new Model Context Protocol (MCP ...

Anthropic’s Model Context Protocol is effectively a universal language that can be used to develop two-way connections between a wide range of AI models and third-party data sources.

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 ...