JetBrains Setup

Add Memcone memory to any JetBrains IDE (IntelliJ, WebStorm, PyCharm, GoLand, etc.) via the AI Assistant MCP integration.

Automatic setup (recommended)

Run this in your project directory:

npx @memcone/cli link

npx @memcone/cli link

link detects JetBrains IDEs and writes the MCP config automatically. Restart your IDE and you're done.

You need a Memcone API key from dashboard → API keys. The CLI will prompt for it on first run and save it to ~/.memcone/credentials.

Manual config

Open Settings → Tools → AI Assistant → Model Context Protocol (MCP), click Add, and enter:

• Type: HTTP / Streamable HTTP
• URL: https://memcone.com/api/mcp
• Header: Authorization: Bearer mem_live_YOUR_KEY_HERE

Or if your version has a JSON editor:

{
  "mcpServers": {
    "memcone": {
      "type": "http",
      "url": "https://memcone.com/api/mcp",
      "headers": {
        "Authorization": "Bearer mem_live_YOUR_KEY_HERE"
      }
    }
  }
}

{
  "mcpServers": {
    "memcone": {
      "type": "http",
      "url": "https://memcone.com/api/mcp",
      "headers": {
        "Authorization": "Bearer mem_live_YOUR_KEY_HERE"
      }
    }
  }
}

Using it

In any AI Assistant chat, the AI now has access to:

• memcone.context — injects your project identity, rules, and past session memory
• memcone.remember — stores facts the AI learns about you
• memcone.recall — searches past memory on demand

"Remember that this project uses Kotlin coroutines for all async work"

"What do you know about my team's coding standards?"

Troubleshooting

Tools don't appear in AI Assistant → Go to Settings → Tools → AI Assistant → MCP and confirm memcone shows as connected. Restart the IDE.

"Failed to connect" → Make sure you chose HTTP / Streamable HTTP — not stdio or SSE.

401 Unauthorized → Verify your key at dashboard → API keys. It must start with mem_live_.

No memory returned → Nothing is stored yet. Tell AI Assistant: "Remember that this project uses Spring Boot and Kotlin". Confirm at dashboard → Memory.