Integrating MCP with Cursor and VS Code

Why Connect MCP to Your Editor

AI-powered code editors like Cursor and VS Code can use MCP to access your APIs directly from your development environment. This means you can query databases, call APIs, and fetch data without leaving your editor.

Connecting Cursor

Open Cursor Settings
Navigate to Features → MCP
Click Add new MCP server
Enter your FuzeMCP endpoint:

URL: https://api.fuzemcp.dev/mcp/your-project-id

Add the authorization header:

Authorization: Bearer your-mcp-api-key

Connecting VS Code

VS Code supports MCP through the mcp.json configuration file:

{
  "mcp": {
    "servers": {
      "my-api": {
        "type": "https",
        "url": "https://api.fuzemcp.dev/mcp/your-project-id",
        "headers": {
          "Authorization": "Bearer your-mcp-api-key"
        }
      }
    }
  }
}

Save this to .vscode/mcp.json in your project root.

Using MCP Tools in Your Editor

Once connected, you can:

Query data — Ask the AI to fetch records from your API
Create records — Let the AI create resources through your API
Debug — Inspect API responses without switching contexts

Example

With a product API connected, you can ask:

"Find all products with low inventory and create a report"

The AI calls your MCP tools, queries the data, and presents the results — all within your editor.

Get Started

Create a FuzeMCP account and connect your API to your editor in minutes.