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Solution: MCP Server as a Bridge

MCP Server as a Bridge

The universal protocol that connects Claude to everything

Now that you understand the problem — Claude cannot see your live data — let us look at the solution. The Model Context Protocol (MCP) is an open standard created by Anthropic that gives AI models a universal way to connect to external systems.

Think of MCP as a USB-C port for AI. Just like USB-C gives you one standard connector for charging, data transfer, and video output, MCP gives Claude one standard protocol for reading data, executing actions, and using templates from any system.

The Architecture: Host, Client, Server

1

Host (Claude Code, Claude Desktop)

The application where you interact with Claude. It manages the conversation and coordinates everything. The host does NOT talk to MCP servers directly — it delegates to clients.

2

Client (Built into the Host)

A component inside the host that manages the connection to one MCP server. Each server gets its own client. It handles starting the server, sending requests, receiving responses, and lifecycle management.

3

Server (What You Will Build)

The server is what you create. It exposes capabilities to Claude through a standardized interface, connecting to your data sources — APIs, databases, files.

The Communication Flow

1

User asks Claude

You ask: "Show me today's new customers"

2

Claude finds the tool

Claude sees it has an MCP tool called get_customers

3

Host delegates to client

The host sends a request to the MCP client

4

Client calls the server

The client forwards the request to your MCP server

5

Server queries data

Your server queries the CRM database

6

Results flow back

Server to client to host to Claude to you

The Three MCP Primitives

Tools — Actions

Functions that Claude can call with input parameters and return results. Like API endpoints for Claude. Examples: search_customers, create_order, send_email.

Resources — Data

Data sources Claude can access, working like files with a URI. Typically application-controlled. Examples: config://app/settings, db://customers/recent.

Prompts — Templates

Pre-built conversation templates that help start common workflows with the right context. Examples: analyze_customer, weekly_report.

Most Common Primitive

Tools are the most commonly used primitive. They are model-controlled — Claude decides when and how to use them based on your request.

How This Connects to Plugins

Plugin ComponentPurposeMCP Equivalent
SKILL.mdInstructions for ClaudePrompts (templates)
CommandsUser-triggered workflowsTools (Claude-triggered)
ReferencesStatic documentationResources (live data)
.mcp.jsonServer configurationTells host which servers to start

Plugin Only vs Plugin + MCP

Plugin Only

The skill contains instructions: "Use this script template to call the API." Claude generates a script, runs it, and the action completes. It works, but Claude cannot check data first without running another script.

Plugin + MCP Server

The MCP server exposes search_contacts and create_contact tools. Claude first searches for existing contacts, sees there is no duplicate, and then creates the new one — all in a single, smooth conversation.

Key Takeaway

An MCP server is a bridge between Claude and your systems. It turns your APIs, databases, and services into tools that Claude can use naturally — just like its built-in capabilities. In the next section, we will build one from scratch.

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