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Add Salient to JetBrains IDEs

Connect Salient's MCP server to any JetBrains IDE with AI Assistant — IntelliJ IDEA, PyCharm, WebStorm, GoLand, Rider, PhpStorm, RubyMine, and CLion.

Setup via GUI

  1. Open Settings (Cmd/Ctrl+Comma)
  2. Navigate to Tools > AI Assistant > MCP
  3. Click Add MCP Server (+)
  4. Fill in the configuration:
Field Value
Name salient
Command python3
Arguments /path/to/salient/tools/mcp-ttx/server.py
  1. Add environment variables:
    • SALIENT_API_URL = http://localhost:8000
    • SALIENT_TOKEN = your-jwt-token
  2. Click OK and restart the IDE

Setup via JSON

Alternatively, paste JSON directly in the MCP settings panel:

{
  "mcpServers": {
    "salient": {
      "command": "python3",
      "args": ["/path/to/salient/tools/mcp-ttx/server.py"],
      "env": {
        "SALIENT_API_URL": "http://localhost:8000",
        "SALIENT_TOKEN": "your-jwt-token"
      }
    }
  }
}

Import from Claude Desktop

If you already have Salient configured in Claude Desktop, JetBrains can import it:

  1. Go to Settings > Tools > AI Assistant > MCP
  2. Click Import from Claude Desktop
  3. Select the ttx-salient server from the list

This reads your Claude Desktop config

JetBrains reads ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or the equivalent path on your platform.

Dual Role: Client and Server

JetBrains IDEs are both MCP clients (connecting to Salient) and MCP servers (exposing IDE tools like file search, refactoring, and debugging). This means your AI assistant can use Salient's security tools alongside IDE capabilities in the same conversation.

Using Salient in AI Assistant

Open the AI Assistant chat panel and reference Salient tools:

"List tabletop scenarios from Salient" "Query the Salient twin about our cloud infrastructure" "Generate a posture assessment"

The AI Assistant discovers available tools automatically.

Tools Reference · MCP Overview