Recommendation

Use Streamable HTTP through Settings > Tools > AI Assistant > Model Context Protocol (MCP). Use project level for repo-specific setup or global level for your personal workstation.

Hosted HTTP

Paste this JSON configuration when adding a new MCP server:

1
2
3
4
5
6
7
8
9
10
11
{
  "mcpServers": {
    "netskope-npa": {
      "url": "https://YOUR-MCP-HOST.example.com/mcp",
      "headers": {
        "X-Netskope-Tenant": "https://YOUR-TENANT.goskope.com",
        "Authorization": "Bearer YOUR_NETSKOPE_API_TOKEN"
      }
    }
  }
}

Local stdio

1
2
3
4
5
6
7
8
9
10
11
12
{
  "mcpServers": {
    "netskope-npa": {
      "command": "npx",
      "args": ["-y", "@johnneerdael/ns-private-access-mcp"],
      "env": {
        "NETSKOPE_BASE_URL": "https://YOUR-TENANT.goskope.com",
        "NETSKOPE_API_TOKEN": "YOUR_NETSKOPE_API_TOKEN"
      }
    }
  }
}

Apply

  1. Open Settings.
  2. Go to Tools > AI Assistant > Model Context Protocol (MCP).
  3. Add a server.
  4. Paste the JSON configuration.
  5. Choose global or project level.
  6. Click Apply.

Verify

Check the MCP status column. Review available tools from the status icon, then ask:

1
List the Netskope NPA MCP tools you can access. Do not call any write tools.

Common issues

Symptom Fix
Server not started Select the server and click reconnect.
Tools not visible Review available tools from the status column.
Logs needed Open IDE logs and inspect the mcp folder.
Project/global mismatch Change the server level in the MCP table.

Platform notes

JetBrains AI Assistant supports STDIO, Streamable HTTP, and legacy SSE MCP transports. Its settings UI accepts JSON under mcpServers.

Source: JetBrains MCP docs