Difference between revisions of "Model Context Protocol"
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| + | Xinyi Hou, Yanjie Zhao, Shenao Wang, Haoyu Wang ''Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions'' 2025-03-30 https://arxiv.org/abs/2503.23278 | ||
===Enable AI Agent=== | ===Enable AI Agent=== | ||
[[File:MCP static.png]] | [[File:MCP static.png]] | ||
Revision as of 09:35, 9 April 2025
Contents
Full Title or Meme
Context
Quantum computers are expected to break traditional cryptographic systems like RSA and ECC. In response,
MCP is a security nightmare!
Don’t get me wrong — at Wexa, we see Model Context Protocol as the HTTP of the GenAI era. It’s the missing link to make AI assistants truly agentic and interoperable.
Problems
MCP doesn’t govern security by default. -> Tool poisoning attacks are a cakewalk if you’re not explicitly validating or sanitizing inputs. Anyone can sneak in malicious instructions through tool descriptions or context — and the model will just obey.
Versioning is a mess. -> There’s no clear standard for how models or tools should handle different MCP versions. That means you risk breaking tools silently — or worse, running outdated logic with no warning.
Persistent context = persistent risk. -> If your AI coworker remembers things across sessions, what happens when the context itself is compromised or manipulated?
We’re bullish on MCP — it’s foundational to how we’re building secure, scalable AI agents inside Wexa.
if you’re using MCP in production today, you’re likely exposed unless you’ve already wrapped it in a tight security layer.
MCP is powerful. But don’t assume it’s safe out of the box.
Solutions
Xinyi Hou, Yanjie Zhao, Shenao Wang, Haoyu Wang Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions 2025-03-30 https://arxiv.org/abs/2503.23278
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