MCP

MCP stands for Model Context Protocol.

Model — AI models, such as GPT.

Context — Information and tools the model can access.

Protocol — A standardized set of rules for communication.

In simple terms, MCP is a standard protocol that allows AI applications to connect to external tools and data sources.

For example, in your Trae + DBX setup:

Trae acts as the MCP client.

DBX MCP Server exposes DBX's capabilities.

MCP defines how they communicate.

Think of MCP as a universal connector for AI applications. 🔌

flowchart TB
    subgraph AI["AI Clients"]
        A[Claude]
        B[Trae]
        C[Other AI]
    end

    MCP{{"MCP<br/>Model Context Protocol"}}

    subgraph Servers["MCP Servers"]
        D[DBX MCP Server]
        E[GitHub MCP Server]
        F[File System MCP Server]
    end

    A <--> MCP
    B <--> MCP
    C <--> MCP

    MCP <--> D
    MCP <--> E
    MCP <--> F

    classDef client fill:#dbeafe,stroke:#2563eb,color:#1e3a8a
    classDef protocol fill:#fef3c7,stroke:#d97706,color:#92400e
    classDef server fill:#dcfce7,stroke:#16a34a,color:#14532d

    class A,B,C client
    class MCP protocol
    class D,E,F server

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