Other Editors & Tools

IntelliJ IDEA, PyCharm, WebStorm, and other JetBrains IDEs have built-in MCP support (version 2025.2+).

Setup via IDE Settings

1. 1.Open Settings → Tools → MCP Server
2. 2.Enable the MCP Server toggle
3. 3.Click “Add Server” and enter the URL:

https://mcp.nexlayer.ai/api/mcp

Cline is a popular VS Code extension for AI-assisted coding with MCP support.

Setup via Extension UI

1. 1.Open Cline sidebar in VS Code
2. 2.Click the MCP Servers icon in the top navigation
3. 3.Click Configure MCP Servers at the bottom
4. 4.Add the Nexlayer configuration:

{
  "mcpServers": {
    "nexlayer-mcp": {
      "transport": "sse",
      "url": "https://mcp.nexlayer.ai/api/mcp"
    }
  }
}

Roo Code supports both global and project-level MCP configuration.

Global Configuration

1. 1.Open Roo Code pane in VS Code
2. 2.Click settings icon → Edit Global MCP
3. 3.Add the Nexlayer configuration

Project-Level Configuration

Create .roo/mcp.json in your project root:

{
  "mcpServers": {
    "nexlayer-mcp": {
      "transport": "sse",
      "url": "https://mcp.nexlayer.ai/api/mcp"
    }
  }
}

Continue.dev supports MCP servers through its configuration file.

mcpServers:
  nexlayer-mcp:
    transport: sse
    url: https://mcp.nexlayer.ai/api/mcp

Alternatively, create .continue/mcpServers/nexlayer.yaml for per-server configuration.

OpenAI Codex uses TOML configuration for MCP servers.

[mcp_servers.nexlayer-mcp]
url = "https://mcp.nexlayer.ai/api/mcp"

You can also use the CLI: codex mcp add nexlayer-mcp --url https://mcp.nexlayer.ai/api/mcp

Warp manages MCP configuration through its UI.

1. 1.Open Warp
2. 2.Go to Warp Drive → MCP Servers → + Add
3. 3.Paste the JSON configuration

Generic MCP Configuration

For any tool that supports MCP, use this configuration:

{
  "nexlayer-mcp": {
    "transport": "sse",
    "url": "https://mcp.nexlayer.ai/api/mcp"
  }
}