If you think AI is just talk, think again — MCP is turning chatbots into doers, and the future of work may never look the same. You’ve seen them: Those incredible large language models (LLMs) that can ...

AI agents can answer all your questions, right? However, when it comes to triggering a workflow, calling an API or fetching live context from a system of record, everything comes to a halt. You might ...

Unsafe defaults in MCP configs open servers to possible remote code execution, as evidenced by several commercial services and open-source projects. AI agent building tools enable users to configure ...

A quiet but important shift is happening in how software talks to software. For years, APIs have powered everything from SaaS dashboards to mobile apps. Now, a new contender—Model Context Protocol, or ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

OpenBMB's 1B-parameter model MiniCMP 5 brings MCP support and agentic tool use to on-device AI—but it has trouble with logic ...

These MCP servers make my local LLM even better.

MCP (Model Context Protocol) provides a universal standard for connecting LLMs to external data sources and tools, eliminating the need to manually copy-paste context into a chat session and enabling ...

Artificial intelligence and related technologies are evolving rapidly, but until recently, Java developers had few options for integrating AI capabilities directly into Spring-based applications.