CodeLogic MCP Server: Give Your AI Assistant X-Ray Vision Into Your Codebase

Stop playing dependency roulette with your refactors. This MCP server connects CodeLogic's enterprise-grade impact analysis directly to your AI assistant, so you can see exactly what breaks before you break it.

The Hidden Cost of "Safe" Changes

You know the drill: modify one method, deploy to staging, watch three unrelated features explode. Your AI assistant is great at writing code, but it's flying blind when it comes to understanding the ripple effects of changes in large codebases.

That's where CodeLogic's dependency analysis comes in. Instead of crossing your fingers and hoping that "simple" database column rename doesn't cascade through 47 different services, your AI assistant can now see the full impact map before suggesting changes.

Two Tools That Change Everything

codelogic-method-impact: Ask your AI to refactor a method, and it automatically checks what else depends on it. No more surprise breakages in unrelated modules.

codelogic-database-impact: Planning to rename that database column? Your AI assistant can now see every table, view, and code reference that touches it across your entire stack.

Both tools work with Java, JavaScript, TypeScript, and C# codebases where dependency complexity actually matters.

Real-World Impact Analysis

Here's what this looks like in practice:

You: "Refactor this PaymentProcessor.processPayment() method to use the new validation library"

Your AI (with CodeLogic): "I can see this method is called by:
- OrderService.completeOrder() 
- SubscriptionService.renewSubscription()
- RefundService.processRefund()

Let me check the validation requirements for each caller before making changes..."

Instead of generic refactoring that might work, you get surgical changes that account for every dependency.

Drop-In Setup for Any IDE

Works with VS Code (Copilot), Claude Desktop, Cursor, and Windsurf. Single uvx command gets you running:

{
  "mcpServers": {
    "codelogic-mcp-server": {
      "command": "uvx",
      "args": ["codelogic-mcp-server@latest"],
      "env": {
        "CODELOGIC_SERVER_HOST": "https://yourcompany.app.codelogic.com",
        "CODELOGIC_USERNAME": "your-username",
        "CODELOGIC_PASSWORD": "your-password",
        "CODELOGIC_WORKSPACE_NAME": "your-workspace"
      }
    }
  }
}

No complex setup, no additional tooling to learn. Your AI assistant just gets smarter about dependencies.

Smart Defaults, Zero Configuration

The server includes pre-built rules that automatically trigger impact analysis when your AI assistant detects code or database modifications. It knows when to run dependency checks and when to skip them, so you get the safety net without the friction.

Debug mode provides detailed timing logs and impact data dumps when you need to understand exactly what's happening under the hood.

Enterprise-Ready Dependency Intelligence

This isn't static analysis with guesswork. CodeLogic builds comprehensive dependency graphs from your actual running systems, tracking relationships across:

• Method-to-method calls
• Database table relationships
• Cross-service dependencies
• Configuration dependencies

Your AI assistant gets the same enterprise-grade dependency intelligence that senior architects use for major refactoring decisions.

The result? AI-assisted development that understands your codebase's complexity instead of fighting against it. No more "this should be a simple change" that turns into a week-long debugging session.

Ready to give your AI assistant the dependency context it needs? Install the CodeLogic MCP server and start making changes with confidence instead of hope.