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Configure Panel Live Server

This guide shows you how to configure Panel Live Server, the Panel web server that executes Python code snippets and renders interactive visualizations.

Prerequisites

Default Configuration

Panel Live Server runs on localhost with sensible defaults. No configuration file is required for local use.

Setting Default Description
Port per-environment (base 5077) Panel server port, derived from the active interpreter unless PANEL_LIVE_SERVER_PORT is set. Each Python environment gets its own port so servers in different environments do not collide.
Host localhost Server host address
Database ~/.panel-live-server/snippets/snippets.db SQLite database path
Max restarts 3 Maximum automatic restarts on failure

Configure via Environment Variables

All settings are controlled through environment variables:

macOS / Linux:

export PANEL_LIVE_SERVER_PORT=9999
export PANEL_LIVE_SERVER_HOST=127.0.0.1
export PANEL_LIVE_SERVER_DB_PATH=/data/my-snippets.db
export PANEL_LIVE_SERVER_MAX_RESTARTS=5

Windows (PowerShell):

$env:PANEL_LIVE_SERVER_PORT="9999"
$env:PANEL_LIVE_SERVER_HOST="127.0.0.1"
$env:PANEL_LIVE_SERVER_DB_PATH="C:\data\my-snippets.db"
$env:PANEL_LIVE_SERVER_MAX_RESTARTS="5"

Windows (Command Prompt):

set PANEL_LIVE_SERVER_PORT=9999
set PANEL_LIVE_SERVER_HOST=127.0.0.1
set PANEL_LIVE_SERVER_DB_PATH=C:\data\my-snippets.db
set PANEL_LIVE_SERVER_MAX_RESTARTS=5

Then start the server, in standalone mode:

pls serve

Or in MCP mode:

pls mcp

Configure via CLI Flags

Alternatively, pass settings directly to pls serve:

pls serve --port 9999
pls serve --host 0.0.0.0 --port 8080
pls serve --db-path /data/my-snippets.db

Run pls serve --help for the full list of options.

Running as an MCP Server

To use Panel Live Server with AI assistants, start it in MCP mode:

# stdio transport (default, for Claude Desktop, Claude Code, etc.)
pls mcp

# HTTP transport
pls mcp --transport http --host 127.0.0.1 --port 8001

# SSE transport
pls mcp --transport sse

The Panel server starts automatically in the background. You do not need to run pls serve separately.

For per-client setup instructions (VS Code, Cursor, Claude Desktop, Claude Code, claude.ai) see Installation → Connect to your MCP client.

Example: Custom port via environment variable

{
  "mcpServers": {
    "panel-live-server": {
      "command": "/path/to/pls",
      "args": ["mcp"],
      "env": {
        "PANEL_LIVE_SERVER_PORT": "9999"
      }
    }
  }
}

External URL and Remote Environments

Panel Live Server needs to know its public URL when running behind a proxy or tunnel so that visualization URLs returned to clients are reachable from the browser.

The following environment variables are detected automatically (in priority order):

Variable(s) Environment
PANEL_LIVE_SERVER_EXTERNAL_URL Any, explicit port-inclusive override
JUPYTERHUB_HOST + JUPYTERHUB_SERVICE_PREFIX JupyterHub with jupyter-server-proxy
CODESPACE_NAME + GITHUB_CODESPACES_PORT_FORWARDING_DOMAIN GitHub Codespaces

claude.ai

claude.ai requires a public URL. Expose the Panel server via a tunnel (Cloudflare, ngrok, localhost.run, etc.) and set the URL before starting the MCP server:

cloudflared tunnel --url http://localhost:5077

Copy the printed URL and set it.

macOS / Linux:

export PANEL_LIVE_SERVER_EXTERNAL_URL=<url-from-above>

Windows (PowerShell):

$env:PANEL_LIVE_SERVER_EXTERNAL_URL="<url-from-above>"

Then start the MCP server:

pls mcp --transport http --port 8001

See the MCP server tutorial for the full three-terminal setup.

JupyterHub

JUPYTERHUB_SERVICE_PREFIX is set automatically by JupyterHub. However, JUPYTERHUB_HOST is only set automatically in subdomain-based routing mode. In the more common path-based routing mode, set it manually in your MCP configuration:

{
  "mcpServers": {
    "panel-live-server": {
      "command": "pls",
      "args": ["mcp"],
      "env": {
        "JUPYTERHUB_HOST": "https://your-hub.example.com"
      }
    }
  }
}

Or set the full URL explicitly.

macOS / Linux:

export PANEL_LIVE_SERVER_EXTERNAL_URL="https://your-hub/user/you/proxy/5077"

Windows (PowerShell):

$env:PANEL_LIVE_SERVER_EXTERNAL_URL="https://your-hub/user/you/proxy/5077"

pls mcp

GitHub Codespaces

URL detection is automatic, no configuration needed.

Custom Database Location

By default the SQLite database is stored at ~/.panel-live-server/snippets/snippets.db. To use a different location.

macOS / Linux:

export PANEL_LIVE_SERVER_DB_PATH=/path/to/your/snippets.db

Windows (PowerShell):

$env:PANEL_LIVE_SERVER_DB_PATH="C:\path\to\your\snippets.db"

pls serve

Or via CLI:

pls serve --db-path /path/to/your/snippets.db

Configuring Auto-Restart Behaviour

Panel Live Server automatically restarts the Panel subprocess if it becomes unhealthy, up to max_restarts times. Adjust this limit.

macOS / Linux:

export PANEL_LIVE_SERVER_MAX_RESTARTS=5

Windows (PowerShell):

$env:PANEL_LIVE_SERVER_MAX_RESTARTS="5"

pls mcp

Set to 0 to disable automatic restarts.

Troubleshooting

Port Already in Use

Change the port:

pls serve --port 5078

Or find and stop the process using the port.

macOS / Linux:

lsof -ti:5077 | xargs kill -9

Windows (PowerShell):

Get-Process -Id (Get-NetTCPConnection -LocalPort 5077).OwningProcess | Stop-Process -Force

Windows (Command Prompt):

netstat -ano | findstr :5077
taskkill /PID <pid-from-above> /F

Server Not Responding

Check server health:

pls status

Or query the health endpoint directly:

curl http://localhost:5077/api/health

On Windows (PowerShell), curl is aliased to Invoke-WebRequest, which needs -UseBasicParsing on older versions:

Invoke-WebRequest http://localhost:5077/api/health -UseBasicParsing

A healthy server returns {"status": "ok", ...}.

Visualizations Not Displaying

  1. Confirm the server is running: pls status
  2. Check that show is listed when you ask your AI assistant for available MCP tools
  3. Restart the MCP server if the Panel subprocess failed to start (check startup logs)

Next Steps