How Windsurf Works with MCP

Windsurf (formerly Codeium) is another major player in the AI code editor space. Like Cursor, it's built for AI-first development. And its MCP support makes it even more powerful by connecting to external tools and data sources.

What Is Windsurf?

Windsurf is an AI-powered code editor that focuses on:

• Cascade — An agentic AI workflow that can plan and execute multi-step coding tasks
• Deep codebase understanding — AI that reads and comprehends your entire project
• Intelligent suggestions — Context-aware autocomplete that goes beyond simple snippets
• Flow state — Designed to minimize disruptions to your coding flow

Windsurf's Cascade Feature

Cascade is what sets Windsurf apart. It's an agentic system that can:

1. Understand a high-level task ("Add authentication to the API")
2. Break it into steps
3. Make changes across multiple files
4. Run commands (tests, builds, etc.)
5. Iterate based on results

This is closer to having a junior developer working alongside you than just having autocomplete.

MCP Integration

Windsurf supports MCP servers, which means you can connect it to external resources:

Setting Up MCP in Windsurf

1. Install the MCP server you want to use (browse options on a-gnt)
2. Add the server configuration in Windsurf's settings
3. Restart Windsurf
4. The new tools become available to Cascade and the AI assistant

Powerful Combinations

• Database MCP server + Windsurf — Write queries, debug schemas, and build data-driven features with AI that can actually see your data
• Git MCP server + Windsurf — AI-assisted version control, PR reviews, and commit management
• API MCP server + Windsurf — Build API integrations with AI that can test endpoints in real time

Windsurf vs. Cursor

Both are excellent AI code editors. Here's how they compare:

The best choice depends on your preferences. Try both.

Getting Started with Windsurf

1. Download from windsurf.com
2. Import your existing editor settings
3. Open a project and try Cascade for a multi-file task
4. Add MCP servers to extend capabilities

Best Practices

• Let Cascade do the planning — Give it a high-level goal and let it break it down
• Review the plan before execution — Cascade shows you what it plans to do
• Start with small projects — Build confidence before using it on production code
• Combine with MCP — The more context AI has, the better it performs

Explore More

Find AI coding tools on a-gnt that complement your Windsurf workflow. The AI development ecosystem is growing fast — stay ahead by exploring what's new.