MCP Servers

The Model Context Protocol (MCP) is an open standard, introduced by Anthropic, that defines how AI assistants and agents connect to external tools, data sources, and services. An MCP server exposes a set of capabilities, such as querying a database, calling an API, or taking actions inside a business platform, so that any compatible AI client can discover and use them. The protocol replaces one-off integrations with a common interface, which has made it a foundational layer for agentic AI.

Why it matters now

Adoption has moved quickly. Major platforms and niche data providers alike are publishing MCP servers so that models can work directly with their products. Some are expanding from read-only access to tools that create, configure, and spend. That shift raises the stakes. Every server an agent trusts becomes part of its attack surface, and researchers keep finding weaknesses across the ecosystem:

• Manipulated tool descriptions that steer model behavior
• Flaws in local and HTTP-based transports that can lead to code execution or network exposure
• Malicious packages slipping into public registries
• Blurry trust boundaries between servers, plugins, and the assistants that load them

What you'll find here

This hub tracks the MCP landscape from both sides. On the security front, expect vulnerability disclosures, attack research, supply-chain incidents, and analysis of which defenses work and which fall short. On the adoption front, we cover new server launches, enterprise and public-sector deployments, and how companies are wiring their services into AI assistants. Whether you build, secure, or evaluate AI agents, this is where to follow how the protocol is evolving and where its risks lie.