Figma expanded its AI-powered prototyping tool Figma Make on Feb. 20, introducing custom Model Context Protocol (MCP) connector support alongside certified connectors for Amplitude, Box, Dovetail, ...
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 ...
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 ...
Artificial intelligence is progressing rapidly, but there is one issue that many people do not discuss enough: context. Even the most intelligent systems are not very effective when they lack a clear ...
As organizations push AI systems into production, IT teams are asking how to make models more dependable, secure and useful in real-world workflows. One approach gaining traction is the Model Context ...
Ashay Satav is a Product leader at eBay, specializing in products in AI, APIs and platform space across Fintech, SaaS and e-commerce. Model context protocol (MCP) has been the talk of the town lately, ...
Anthropic recently released their Model Context Protocol (MCP), an open standard describing a protocol for integrating external resources and tools with LLM apps. The release includes SDKs ...
What if your AI assistant could not only answer your questions but also fetch real-time data, automate tedious tasks, and perform complex calculations, all seamlessly and without breaking stride?
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 ...
Chances are, unless you're already deep into AI programming, you've never heard of Model Context Protocol (MCP). But, trust me, you will. MCP is rapidly emerging as a foundational standard for the ...
As the development of AI tools accelerates, organizations are under increasing pressure to move models from prototype to production securely and with scalability. Behind the scenes, managing AI models ...
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