MCP (Model Context Protocol) is an emerging standard for AI tools and resources. The standard is compatible with normal REST API servers, but adds extra metadata to describe tools, resources, and ...
As AI remakes the travel industry, one acronym is sparking both excitement and confusion: MCP, or Model Context Protocol. But ...
AI agents are being sold as the solution for planning trips, answering business questions, and solving problems of all kinds, but getting them to work with tools and data outside their chat interfaces ...
One-off projects can pay the bills, but they don’t always build a business. This is what freelancers need to do instead. Providing ongoing services like retainers, package deals and strategic ...
When using the MCP client on Windows, connecting to a Python MCP server (using mcp-python) fails immediately during initialize with the following error: calling "initialize": invalid trailing data at ...
A new proof-of-concept attack shows that malicious Model Context Protocol servers can inject JavaScript into Cursor’s browser — and potentially leverage the IDE’s privileges to perform system tasks.
Microsoft announced the stable release of Azure MCP Server 1.0.0, describing it as the start of a new phase for cloud automation and AI-driven development. The open-source implementation of the Model ...
As organizations scramble to enact agentic AI solutions, accessing proprietary data from all the nooks and crannies will be key By now, most organizations have heard of agentic AI, which are systems ...
Making inherently probabilistic and isolated large language models (LLMs) work in a context-aware, deterministic way to take real-world decisions and actions has proven to be a hard problem. As we ...
Model context protocol (MCP) gives IT teams a standardized way to connect large language models (LLMs) to tools and data sources when developing AI-based workflows. But security researchers warn that ...
What if integrating powerful AI tools into your workflows was as simple as plugging in a USB drive? For years, developers have wrestled with the complexities of connecting large language models (LLMs) ...