Today’s AI coding agents are impressive. They can generate complex multi-line blocks of code, refactor according to internal style, explain their reasoning in plain English, and more. However, AI ...

Developers are discovering that Model Context Protocol shines at providing AI coding agents with highly relevant software engineering context, on demand, at run time.

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 ...

Anthropic patched Git MCP flaws enabling remote code execution via tool chaining Cyata discovered CVEs; fixed in version 2025.12.18, no exploitation reported yet Claude previously manipulated in cyber ...

An MCP Server uses the Model Context Protocol (MCP) to link AI models with tools and data sources. These lightweight programs securely handle tasks like accessing files, databases, or APIs, enabling ...

Three security vulnerabilities in the official Git server for Anthropic's Model Context Protocol (MCP), mcp-server-git, have been identified by cybersecurity researchers. The flaws can be exploited ...

The most popular trusted model context protocol (MCP) servers on the Web today contain severe cybersecurity vulnerabilities. The Internet of AI forming all around us is growing larger and more ...

Model Context Protocol (MCP) use is increasing in popularity for connecting AI agents to data sources, and other services. But so too are vulnerabilities that bring unique risks to agentic systems.