在过去的几年里，人工智能（AI）领域对于“大模型能力边界”的讨论如火如荼。然而，许多人却忽视了一个更为棘手的问题：真正的安全隐患，往往并非来自模型本身，而是那些将模型与现实世界连接的基础设施。当AI代理（AIAgent）开始掌控邮箱、数据库、企业SaaS平台、代码仓库、云资源，甚至工业设备时，一个看似普通的Web框架漏洞，可能瞬间演变为现实世界的安全灾难。

Model Context Protocol (MCP) 这个协议简单说就是给大语言模型接入外部数据和工具提供了一套标准化方案。MCP 统一了模型和各种数据源、工具服务之间的交互方式。 FastMCP 是目前用 Python 构建 MCP 服务器最顺手的框架，把底层那些复杂的协议实现全都封装好了，开发者 ...

Millions of AI agents and tools around the world have been imperiled by a critical vulnerability that can allow hackers to breach the servers running them and make off with sensitive data and ...

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Microsoft's AI Toolkit extension for VS Code now includes a Tool Catalog that can scaffold a Python or TypeScript MCP server with the core transport and registration plumbing already set up. In ...

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 ...

A max-severity vulnerability in the latest Python FastAPI version of the ChromaDB project allows unauthenticated attackers to run arbitrary code on exposed servers. The flaw is tracked as ...