Markolis MCP Server
OfficialThis server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Markolis MCP Server
Institutional Quantitative Market Intelligence & Micro-Apps for AI Agents
Terminal & Web App • API Documentation • Official Registry
Overview
Markolis brings institutional quantitative telemetry, 100-bin Auction Market Theory (AMT), order book trapped crowd sentiment, and distribution-free conformal volatility cones to autonomous AI agents and trading desks.
Instead of relying on lagging retail indicators (RSI, MACD, Moving Averages), Markolis queries empirical order book volume distributions across 130+ global financial assets (Gold, Bitcoin, S&P 500, Nasdaq, EUR/USD, Crude Oil, and FX crosses).
Key Capabilities
🎯 100-Bin Auction Market Theory: Point of Control (POC), 70% Value Area (VAH / VAL), and balance rotation regimes.
🪤 Order Book Trapped Crowd Radar: Net long/short retail cluster offside percentages and nearest stop-sweep vectors.
⚡ Conformal Volatility Cones: Distribution-free 90% confidence excursion bands calibrated across market sessions.
🌐 Global Macro Radar: Real-time cross-asset session overlaps (London / NY / Tokyo), liquidity multipliers, and news blackouts.
🖥️ Interactive MCP Micro-Apps (
ui://markolis/market-frame): Renders interactive HTML5 visual auction frames inside AI chat clients.
Related MCP server: north7-market-intelligence
Quickstart
You can connect Markolis to your favorite AI assistant in seconds:
Option A: Direct Cloud Stream (Zero Installation — Recommended)
No software installation or local dependencies required. Directly configure your MCP client to stream from the hosted endpoint:
1. Claude Desktop
Add this to your claude_desktop_config.json:
{
"mcpServers": {
"markolis": {
"url": "https://www.markolis.com/api/mcp"
}
}
}Config file locations:
macOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%APPDATA%\Claude\claude_desktop_config.json
2. Cursor
Open Cursor Settings $\rightarrow$ Features $\rightarrow$ MCP $\rightarrow$ + Add New MCP Server:
Name:
markolisType:
SSE(orHTTP)Server URL:
https://www.markolis.com/api/mcp
Or in your project's .cursor/mcp.json:
{
"mcpServers": {
"markolis": {
"url": "https://www.markolis.com/api/mcp"
}
}
}3. Windsurf & Zed
In your MCP configuration:
{
"mcpServers": {
"markolis": {
"url": "https://www.markolis.com/api/mcp"
}
}
}Option B: Node.js STDIO Runner (npx)
If your MCP client requires a local stdio command:
{
"mcpServers": {
"markolis": {
"command": "npx",
"args": ["-y", "markolis-mcp"]
}
}
}Option C: Python STDIO Runner (uvx / python)
{
"mcpServers": {
"markolis": {
"command": "uvx",
"args": ["markolis-mcp"]
}
}
}Or with standard Python:
pip install markolis-mcp
python -m markolis_mcpAvailable MCP Tools
Tool | Parameters | Description |
|
| Queries market intelligence and returns both empirical quantitative analysis and an interactive visual micro-app frame ( |
|
| Retrieves comprehensive quantitative metrics: POC, Value Area, Hurst persistence exponent, order book crowd imbalance, and Garman-Klass volatility. |
| None | Retrieves real-time global macroeconomic radar feeds: active session clocks, liquidity multipliers, upcoming news blackouts, and offshore USD velocity. |
| None | Live systematic risk telemetry for prop challenge pacing: trailing drawdown headroom, daily loss usage, and Bayesian Kelly allocation sizing. |
| None | Full 26-stream verified asset catalog with Garman-Klass volatility ratings and asset classes. |
Example Prompts
Once installed in Claude or Cursor, simply ask:
"Where is the retail crowd trapped on Gold ($XAUUSD)?"
"Show me the 100-bin auction theory profile and Value Area for Bitcoin ($BTCUSD)."
"What is the active macroeconomic session overlap and liquidity multiplier right now?"
"Calculate the 90% conformal volatility cone for EUR/USD heading into the New York session."
Interactive MCP Micro-Apps
Markolis implements the Model Context Protocol UI Specification (ui://markolis/market-frame). When calling render_market_intelligence_frame, supporting clients render an interactive HTML5 frame containing:
Interactive 100-Bin Auction Histogram: Real-time volume profiles highlighting Value Area High (VAH), Value Area Low (VAL), and Point of Control (POC).
Order Book Trapped Crowd Sentiment: Visual long vs. short positioning and stop-sweep risk vectors.
Session Regime Sparklines: Regime persistence and volatility cone bands.
Quotas & Commercial Tiers
Markolis provides a generous free tier (25 requests/day) with zero credit card or registration required.
For institutional desks, algorithmic trading agents, and quantitative researchers:
Free: 25 queries/day, 131 assets, full MCP access.
Pro ($49/mo): 300 queries/day, private agent tokens, continuous webhook feeds, and priority execution.
Enterprise / Prop Desks: Dedicated custom streams, Sub-10ms WebSockets, and custom data lakes.
Visit https://www.markolis.com to upgrade or manage keys.
Regulatory Compliance & Disclaimer
CFTC Rule 4.41 Compliance: All quantitative metrics, excursions, order book profiles, and volatility cones delivered by Markolis are empirical statistical estimates based on market structure snapshots. Markolis operates strictly as a quantitative intelligence engine and does not provide financial advice, trading recommendations, or buy/sell calls.
License
This project is licensed under the Apache License 2.0.
This server cannot be deployed
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