Hands On Getting large language models to actually do something useful usually means wiring them up to external data, tools, or APIs. The trouble is, there's no standard way to do that - yet.… ...

Prompt injection for the win Anthropic has fixed three bugs in its official Git MCP server that researchers say can be ...

Model Context Protocol (MCP) is becoming the most common interface to connect AI applications to enterprise systems like ...

Three vulnerabilities in Anthropic’s MCP Git server allow prompt injection attacks that can read or delete files and, in some ...

Three serious prompt injection vulnerabilities in Anthropic’s Git MCP server briefly enabled remote code execution and file ...

Anthropic created the Model Context Protocol. Security was not necessarily a key focus in order to accelerate adoption.

The rapid adoption of AI agents has exposed a structural security problem in the Model Context Protocol. Due to a lack of authentication, hundreds of MCP ...

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 ...

Building and publishing Model Context Protocol (MCP) servers is a crucial step in allowing language models to interact seamlessly with external tools and resources. These servers act as intermediaries ...

Anthropic’s official Git MCP server hit by chained flaws that enable file access and code execution - SiliconANGLE ...