How to Integrate Bito’s AI Architect with Claude Code

Claude Code is one of the most capable AI coding agents available today. It lives right in your terminal, understands your prompts in natural language, and can write, edit, test, and commit code autonomously. For many developers, it has fundamentally changed how they work.

But there is a ceiling. Claude Code, like every other coding agent, can only reason about what it can see. When your task spans multiple repositories, dozens of microservices, thousands of interdependent files, or a codebase it has never fully indexed, it starts to struggle. It misses internal API contracts, ignores architectural patterns it was never shown, and sometimes generates plausible-looking code that simply does not fit your system.

That gap is exactly what Bito’s AI Architect is built to close.

In this guide, we’ll explain what AI Architect is, why it makes such a meaningful difference for Claude Code specifically, what the benchmark data says, and how to connect the two in just a few minutes using a single terminal command.

What is Bito’s AI Architect?

Bito’s AI Architect is a system intelligence layer that builds a knowledge graph of your entire codebase — across repositories, modules, APIs, libraries, and design patterns — and makes that intelligence available to the coding agents you already use, including Claude Code.

Instead of reading a few files in your current repo, AI Architect understands how everything fits together: how services depend on each other, where your internal API endpoints live, what your architectural patterns are, and how new code should be written to stay consistent with your existing system.

It plugs into Claude Code (and other tools) through the Model Context Protocol (MCP), a standard protocol that lets AI tools consume external context at runtime. Once connected, Claude Code gains the eyes of a senior architect who has read every line of code across your entire organization.

This makes AI Architect fundamentally different from simple embedding-based search tools. Embeddings find similar content. AI Architect understands relationships — how modules call each other, how APIs are structured, how design decisions propagate across services.

Integration guide

The fastest way to connect AI Architect to Claude Code is through Bito’s automated MCP installer, which sets everything up in a single command. Here’s how to do it.

Prerequisites

Before you run the installer, have these ready:

1. Install Bito’s AI Architect:
   • Bito-hosted (Fully managed by Bito — no infrastructure setup required)
   • Self-hosted (Run AI Architect on your own infrastructure for maximum control)
2. Your Bito Workspace ID (or full Bito MCP URL if you’re running a self-hosted instance)
3. Your Bito MCP Access Token

4. Your email address (used for tracking/identification)
5. Claude Code installed (npm install -g @anthropic-ai/claude-code)

Step 1: Run the installer

On macOS or Linux, open your terminal and run:

curl -fsSL https://mcp-setup.bito.ai/install.sh | bash

On Windows, open PowerShell (not Command Prompt) and run:

irm https://mcp-setup.bito.ai/install.ps1 | iex

The installer will:

1. Check which compatible AI tools are installed on your system (it supports Claude Code, Cursor, Windsurf, VS Code with GitHub Copilot, Junie, and JetBrains AI Assistant)
2. Prompt you to enter your credentials
3. Automatically configure all detected tools
4. Confirm which tools were successfully set up

Step 2: Restart Claude Code

After the installer completes, completely close and reopen Claude Code to ensure the configuration takes effect.

Step 3: Verify the connection

Once Claude Code is back open, run the following command:

claude mcp list

You should see BitoAIArchitect in the output.

Step 4: Add the guidelines

Bito provides a BitoAIArchitectGuidelines.md file that contains best practices, usage instructions, and prompting guidelines for the Bito’s AI Architect MCP server. Adding it to your project helps Claude Code to interact with Bito’s AI Architect more effectively and get better results out of every query.

For Claude Code, the installer automatically adds the guidelines file globally, covering all your projects. If you’d also like to apply guidelines at the project level for a specific project, run the command below inside that project directory.

cd /path/to/your/project
curl -sSL "https://mcp-setup.bito.ai/BitoAIArchitectGuidelines.md" -o CLAUDE.md

Step 5: Run a test query

Open Claude Code and try a test query to confirm AI Architect is working:

• “What repositories are available in my organization?”

If you receive accurate response about your codebase, the setup is complete.

Prefer a manual setup?

If you prefer hands-on control over your configuration or encounter issues with automated setup, you can follow our detailed step-by-step guide for manual Claude Code integration.

Enterprise-ready and secure by design

One concern teams rightly have before connecting a third-party service to their codebase is security. Bito’s AI Architect is designed with this front of mind:

• No code is stored. AI Architect builds and maintains its knowledge graph without persisting your source code.
• No model training on your code. Your codebase is never used to train any AI model.
• On-premises deployment is available. If your organization requires it, you can run AI Architect entirely within your own infrastructure.
• SOC 2 Type II certified.
• End-to-end data encryption.

Conclusion

Claude Code is already a powerful tool. Bito’s AI Architect makes it a complete one, giving it the system-level understanding that turns good suggestions into production-ready code for even the most complex enterprise codebases.

The setup takes about five minutes, works across all your existing tools, and is free to start.