You've heard about MCP. Your AI coding assistant supports it. But what actually is it, and why should you care?

This guide explains MCP from the ground up—no prior knowledge required.

The Problem MCP Solves

Imagine you're using an AI coding assistant. You ask: "What functions call handlePayment?"

The AI needs to search your codebase. But how? Different tools have different APIs:

VS Code has one way to search files
Cursor has another
Claude Code has its own approach
Neovim plugins work differently

If you're building a code intelligence tool (like CKB), you'd need to write separate integrations for every editor. That's a lot of work, and it fragments the ecosystem.

MCP fixes this.

What MCP Is

MCP stands for Model Context Protocol. It's a standard way for AI assistants to connect to external tools.

Think of it like USB for AI tools:

Before USB, every device had its own connector
USB created one standard that works everywhere
Now any device works with any computer

MCP does the same for AI:

Before MCP, every AI had its own tool format
MCP creates one standard that works everywhere
Now any tool works with any AI assistant

How MCP Works

MCP defines three things:

1. Tools

Tools are actions the AI can take. For example, CKB provides tools like:

searchSymbols - Find functions, classes, variables
getCallGraph - See what calls what
prepareChange - Analyze impact before changing code

Each tool has a name, description, and parameters. The AI reads these and knows how to use them.

2. Resources

Resources are data the AI can access. For example:

file://src/main.go - A source file
ckb://symbols/User - Information about the User type

Resources are read-only—the AI can look but not modify.

3. Prompts

Prompts are pre-written instructions for common tasks:

"Explain this codebase" - Guided exploration
"Review this PR" - Code review workflow

Prompts help users get started without knowing exactly what to ask.

Why MCP Matters for You

1. Tool Choice Freedom

With MCP, you're not locked into one AI assistant. CKB works with:

Claude Code
Cursor
Windsurf
VS Code (with MCP extensions)
Zed
Any MCP-compatible tool

Switch assistants anytime. Your tools come with you.

2. Better AI Capabilities

Without MCP, AI assistants are limited to what's built in. With MCP, they can:

Query semantic code indexes (via CKB)
Access databases
Call APIs
Read documentation
And much more

The AI becomes extensible.

3. Privacy Control

MCP tools run locally. Your code doesn't go to external servers (unless you choose tools that do). CKB indexes your code on your machine—the AI queries that local index.

MCP in Practice

Here's what using an MCP tool looks like:

Step 1: Install the Tool

npm install -g @tastehub/ckb

Step 2: Configure Your AI Assistant

Add the tool to your assistant's config. For example, in Claude Code:

{
  "mcpServers": {
    "ckb": {
      "command": "npx",
      "args": ["@tastehub/ckb", "mcp"]
    }
  }
}

Step 3: Use It Naturally

Just talk to your AI:

You: "What functions call handlePayment?"

AI: [uses CKB's getCallGraph tool]

"handlePayment is called by:
- CheckoutController.process() at checkout.go:45
- RefundHandler.execute() at refund.go:78

It has 3 callees: validateCard, chargeCard, sendReceipt."

The AI automatically uses the right tool. You don't need to know the technical details.

Common MCP Questions

"Do I need to learn MCP to use CKB?"

No. MCP is the plumbing—you don't need to understand it to benefit from it. Install CKB, configure your AI assistant, and start asking questions.

"Is MCP secure?"

MCP tools run locally with your permissions. They can only do what you allow. CKB, for example, only reads your code and git history—it can't modify files or access the network.

"What if my AI assistant doesn't support MCP?"

Most modern AI coding assistants support MCP:

Claude Code ✓
Cursor ✓
Windsurf ✓
VS Code (via extensions) ✓
Zed ✓

If yours doesn't, check for updates—MCP support is being added rapidly.

"Can I build my own MCP tools?"

Yes! MCP is an open standard. If you have a service you want your AI to access, you can build an MCP server for it. See the MCP documentation for details.

CKB: An MCP Tool for Code Intelligence

CKB is one example of what MCP enables. It provides:

90+ tools for code navigation, impact analysis, and understanding
Semantic search that understands code structure, not just text
Cross-repository queries for complex codebases
Ownership tracking to find the right reviewers

All accessible through natural conversation with your AI assistant.

Getting Started

Ready to try MCP with CKB?

# Install CKB
npm install -g @tastehub/ckb

# Initialize in your project
cd /your/project
ckb init

# Auto-configure your AI assistant
ckb setup

That's it. Your AI assistant now has semantic code understanding.

Learn More

Links: