How to Integrate Bito’s AI Architect with Cursor

Cursor has become one of the go-to AI coding tools for developers who want to move faster. The inline edits, the agentic workflows, the ability to chat with your code and have it actually do something useful are genuinely good features that speed up everyday development work.

The challenge shows up when your codebase grows beyond what fits in a single repo or a single context window. Ask Cursor to implement a feature that touches multiple services and it will give you something that looks right on the surface, but it won’t know about the internal API conventions your team has standardized across services, or the deprecated client that should no longer be used, or the shared module that several downstream systems depend on. It works with what it can see, and in a large or distributed codebase, most of the relevant context lives somewhere it can’t see.

The result is code that looks good but doesn’t quite fit, and the work of spotting those issues, explaining them, and re-prompting falls back on the developer. Over time, that adds up, and the speed gains start to feel smaller than they should.

Bito’s AI Architect is designed to solve exactly that problem.

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 Cursor.

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 Cursor (and other tools) through the Model Context Protocol (MCP), a standard protocol that lets AI tools consume external context at runtime. Once connected, Cursor 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 or Cursor’s built-in codebase indexing. 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 Cursor 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)

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 Cursor, Claude Code, 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 Cursor

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

Step 3: Verify the connection

Once Cursor is back open, go to Settings → Tools & MCP and check that BitoAIArchitect appears in the MCP server list. If it’s there, you’re connected.

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 Cursor to interact with Bito’s AI Architect more effectively and get better results out of every query.

For Cursor, add it to your project by running this in your project root:

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

Step 5: Run a test query

Open Cursor’s chat 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 Cursor 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

Cursor 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.