CustomGPT.ai Blog

Windsurf with CustomGPT.ai’s Hosted MCP (Model Context Protocol) Server – Connect Your Private Data 

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Written by: Priyansh Khodiyar

Windsurf with CustomGPT.ai Hosted MCP Server diagram links user, chat, database, and search icons to a central file.

If you’re using Windsurf, you’re already playing with some powerful AI workflows. But what if you could add your own secret ingredient to the mix? Your company’s internal data, your personal research, anything.

Refer to our Windsurf + CustomGPT.ai’s Hosted MCP server docs for more info.

By connecting your CustomGPT.ai agent to Windsurf, you can ground its powerful abilities in the information that matters most to you.

What’s MCP?

MCP (Model Context Protocol) is just a fancy name for a standard plug. It lets different AI tools and data sources talk to each other without any hassle. For Windsurf, it means you can easily “plug in” a brain like CustomGPT.ai that’s been trained on your private files.

Why is CustomGPT.ai a great choice for this?

  • It’s smart: Our system is ranked #1 for accuracy, so you get reliable answers from your files.
  • It’s easy: We take care of all the server maintenance and security for you.
  • It’s included: There’s no extra charge to use this with your CustomGPT.ai plan.

Want to read the full story? Check out the Hosted MCP launch blog post.

How Your Data Flows in Windsurf

Just like with Cursor, Windsurf connects directly and securely

You, using the "Vision" panel in Windsurf

                         │

                         │ (Directly and securely to our server)

                         ▼

┌───────────────────────────────────────────┐

│          CustomGPT.ai Server              │

│ (Finds the right info in your files)      │

└───────────────────────────────────────────┘

                         │

                         │ (Sends the answer right back to Windsurf)

                         ▼

  The answer from your data appears in Windsurf!

What you’ll need first:

  • A CustomGPT.ai account (a free trial works).
  • A project in CustomGPT.ai with your data all loaded up.
  • The Windsurf application.

Let’s Hook It Up: Step-by-Step

  1. Grab your config: Log into your CustomGPT.ai account, open your project, and go to Deploy ➞ MCP Server (Beta). Generate a token. Copy the whole JSON block that appears.
  2. Open Windsurf settings: In Windsurf, go to Settings ➜ Advanced.
  3. Go to Cascade: In the sidebar on the left, click on Cascade.
  4. Add a custom server: Click Add Server ➜ Add custom server +.
  5. Paste the JSON: Paste the entire JSON block you copied from CustomGPT.ai. It will look like this, but with your details filled in.
{

  "mcpServers": {

    "customgpt-mcp-server": {

      "url": "https://mcp.customgpt.ai/projects/<PROJECT_ID>/sse?token=<TOKEN>"

    }

  }

}
  1. Save it. If the little light next to the server turns green, you’re good to go!

Now you can use the “Vision” panel in Windsurf to query your private data and include it in your AI workflows.

Watch it in action:

Your Turn to Build!

So there you have it. No more generic answers! Your favorite AI tool is now your personal expert, with a direct line to the documents and data you care about most. It’s a true game-changer for getting things done.

Why not give it a try? Head over to CustomGPT.ai to start a free trial and create your own private AI brain.

We can’t wait to see what you build with it!

P.S If are into MCP world, you will definitely live this MCP AMA that we did with Pinecone folks and other MCP folks (Santiago).

Find it here:

Further Reading

For those interested in exploring MCP in greater depth, check out the following resources:

Frequently Asked Questions

Do you need to run your own MCP infrastructure to connect Windsurf with CustomGPT.ai?

No. You can use a hosted MCP setup, so you don’t have to manage server maintenance or security operations yourself for this connection.

What does MCP do in a Windsurf integration?

MCP (Model Context Protocol) is a standard way for AI tools and data sources to communicate. In Windsurf, it lets you plug in a CustomGPT.ai agent trained on your private files so responses can use your own knowledge.

What is the main benefit of connecting Windsurf to CustomGPT.ai?

The main benefit is grounding AI behavior in information that matters to you—such as internal company data or personal research—rather than relying only on general model knowledge.

Why do teams choose CustomGPT.ai for a hosted MCP connection with Windsurf?

Common reasons are accuracy and convenience: the system is presented as #1 for accuracy, and the MCP server is hosted so teams avoid infrastructure upkeep while still connecting private data.

Does using the hosted MCP connection require a separate add-on fee?

The integration is described as included with a CustomGPT.ai plan, with no extra charge specifically for using it.

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