What is MCP and Why Does My Coding Agent Need It?
Deep dive into Model Context Protocol (MCP) core concepts, explaining how it serves as a connector between AI Agents and the external world.
What is MCP?
MCP (Model Context Protocol) is a standard protocol for AI Agents to interact with external tools, services, and data sources.
Why Do You Need MCP?
Without MCP, an AI Agent cannot:
- Read local files
- Query databases
- Operate GitHub
With MCP, Agents can:
- Read and write local file systems
- Query PostgreSQL databases
- Create GitHub PRs and manage Issues
Core Concepts
1. MCP Server
Programs that provide specific capabilities like filesystem, postgres, and github.
2. MCP Client
The part of AI Agent that integrates the MCP protocol.
3. Tool
Each MCP Server provides a set of Tools like read_file, write_file, etc.
Getting Started
- Install MCP Server
- Configure connection
- Invoke tools
FAQ
Q: What is the difference between MCP and Function Calling?
A: Function Calling is model-level, MCP is protocol-level.
Q: Which tools support MCP?
A: Claude Code, Cursor, OpenCode, etc.
FAQ
What is the difference between MCP and Function Calling?▼
Function Calling is a model-level capability, while MCP is a protocol-level standard. MCP enables interoperability between models and tools from different vendors.
Which tools support MCP?▼
Currently, mainstream AI coding tools like Claude Code, Cursor, and OpenCode all support MCP.
Is MCP secure?▼
MCP was designed with security in mind, supporting path whitelisting, permission control, operation auditing, and other security mechanisms.
Verification Records
人类专家验证