What if the next generation of AI systems could not only understand context but also act on it in real time? Imagine a world where large language models (LLMs) seamlessly interact with external tools, ...

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 ...

WebMCP exposes structured website actions for AI agents. See how it works, why it matters, and how to test it in Chrome 146.

Anthropic’s model context protocol (MCP), the ‘plug-and-play bridge for LLMs and AI agents’ to connect with external tools, has received a major update one year after its launch. The developer of ...

The enhanced MCP integration enables AI Agents on the Homesage.ai platform to process property data with improved contextual understanding. The system analyzes information from both off-market ...

AI agents and agentic workflows are the current buzzwords among developers and technical decision makers. While they certainly deserve the community's and ecosystem's attention, there is less emphasis ...

Anthropic today released a new open source protocol to let all AI systems, not just its own, connect with data sources via a standard interface. Model Context Protocol (MCP), the company said in its ...

The framework provided by MCP allows agents to access and engage with databases, tools, apps and agents in real time in a united way.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Outreach, providers of an agentic artificial intelligence platform for revenue teams, has launched a Model Context Protocol (MCP) Server, allowing Outreach AI to securely share context with external ...