Seonglae ChoModel Context Protocol
Protocol for Tool learning
- Hosts are LLM applications (like Claude Desktop or IDEs) that initiate connections
- Clients maintain 1:1 connections with servers, inside the host application
- Servers provide context, tools, and prompts to clients
MCP Usages
Limitation
The structure requiring code execution from users poses security risks and is vulnerable to malicious inputs. There are authentication issues and no restrictions on dangerous tools. It's difficult to implement interactive UX and is vulnerable to AI Hacking techniques like Prompt Injection.
Everything Wrong with MCP
Explaining the Model Context Protocol and everything that might go wrong.
https://blog.sshh.io/p/everything-wrong-with-mcp
Docs with modelcontextprotocolmodelcontextprotocol • Updated 2026 Jan 16 16:25
modelcontextprotocol
modelcontextprotocol • Updated 2026 Jan 16 16:25
Introduction - Model Context Protocol
Get started with the Model Context Protocol (MCP)
https://modelcontextprotocol.io/introduction
from Anthropic
Introducing the Model Context Protocol
The Model Context Protocol (MCP) is an open standard for connecting AI assistants to the systems where data lives, including content repositories, business tools, and development environments. Its aim is to help frontier models produce better, more relevant responses.
https://www.anthropic.com/news/model-context-protocol
review
Reflections on building with Model Context Protocol (MCP)
It's great! With some rough edges
https://outlore.dev/blog/model-context-protocol/
roadmap
Roadmap - Model Context Protocol
Our plans for evolving Model Context Protocol (H1 2025)
https://modelcontextprotocol.io/development/roadmap
What it means compared to, Network API
Glama – MCP Hosting Platform
MCP is a wire protocol that standardizes how AI agents interact with external services, enforcing single JSON schemas and deterministic execution, while traditional APIs are documentation formats describing the chaos of HTTP endpoints where data can live in paths, headers, query params, or bodies.
https://glama.ai/blog/2025-06-06-mcp-vs-api
