MyLinedChart Chart Context MCP Server

@mylinedchart/mcp-chart-context

Read-only MCP server giving AI agents read-only access to your live MyLinedChart desktop chart and workspace context. Requires the MyLinedChart desktop app. Full docs: mylinedchart.com/mcp

Tools

Tool	Purpose
`get_chart_context`	Returns the current MyLinedChart chart and workspace summary: symbol, timeframe, range, provider, connection state, feed type, candle/drawing/indicator counts, diagnostics ID, and data freshness. Read-only.
`get_candles`	Returns the most-recent OHLCV candle bars for the current chart. Fields: timestamp (epoch ms), open, high, low, close, volume. Read-only.
`get_drawings`	Returns all drawings and price levels for the current chart symbol: trend lines, horizontal levels, note labels, and other overlays. Read-only.
`get_indicators`	Returns the configured indicators for the current chart: name, calculation parameters, placement (main/lower), and visibility. Does NOT include series data. Read-only.
`get_provider_status`	Returns IBKR connector and market-data provider status: connection state, MarketDataStatus code, feed type (delayed/live), diagnostics ID, and last-updated. Never exposes account IDs, credentials, or bridge URLs. Read-only.

Privacy & safety

Read-only. No mutations, no order entry, no trading.
Local. The server runs on your machine alongside the desktop app. Nothing leaves your machine.
Redacted. Account IDs, credentials, bridge URLs, and session tokens are stripped before any context is returned.

Install

npm install -g @mylinedchart/mcp-chart-context

Node 18 or later required.

Usage

Add to your AI agent's MCP config (claude_desktop_config.json or ~/.claude/settings.json):

{
  "mcpServers": {
    "mylinedchart": {
      "command": "mlc-mcp"
    }
  }
}

Then:

Download and open the MyLinedChart desktop app (mylinedchart.com/resources/downloads).
Enable the MCP server in-app (Settings → MCP).
Load a chart. Your AI agent can now call the five read-only tools above.

Override the context file path

MLC_CONTEXT_FILE=/custom/path/agent-context.json mlc-mcp