How do I install the hpsilab quant finance mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

What credentials does it need?

It reads `HPSILAB_API_KEY` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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HPSILab Quant Finance MCP Server

Quant finance tools: stock analysis, options IV, Monte Carlo, AI prediction, risk scan, backtests.

Remote serverstreamable-httpPython

What is the HPSILab Quant Finance MCP Server?

Quant finance tools: stock analysis, options IV, Monte Carlo, AI prediction, risk scan, backtests.

The short version

HPSILab combines stock signals, implied volatility, options positioning, Monte Carlo scenarios, strategy backtests, pre-trade risk checks, charts, and research reports behind ten purpose-built MCP tools. Ask a question in natural language and receive structured data that an assistant can explain, compare, and use in a larger research workflow.

structured outputs instead of prose that must be scraped;
specialized tools for volatility, options positioning, probability, backtests, and risk;
consistent ticker validation and machine-readable errors;
clear read-only and side-effect annotations for MCP clients;
the same research surface through hosted Streamable HTTP and local stdio transports

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
analyze_stock	Aggregate directional and quantitative stock analysis
get_ai_prediction	Next-session model prediction and consensus
get_iv_radar	IV level, rank, percentile, skew, and regime
get_option_pressure	Max pain, gamma walls, expected move, and pressure zones
get_monte_carlo	Thirty-day simulated price distribution and probabilities
get_equity_curve	Strategy backtests and risk-adjusted performance
get_pretrade_risk_scan	Position, portfolio exposure, and correlation risk checks
generate_stock_images	Create hosted chart artifacts
generate_stock_research_report	Create a structured hosted research report
register_account	Create a free account and receive an API key

How to install the HPSILab Quant Finance MCP Server

{
  "mcpServers": {
    "hpsilab-quant-finance": {
      "command": "uvx",
      "args": ["args"],
      "env": {
        "HPSILAB_API_KEY": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

Variable	Description	Required
HPSILAB_API_KEY	Credential the server authenticates with.	Yes

Example prompts to try

“Use HPSILab Quant Finance to analyze stock.”
“Use HPSILab Quant Finance to get ai prediction.”
“Use HPSILab Quant Finance to get iv radar.”

Frequently asked questions

Quant finance tools: stock analysis, options IV, Monte Carlo, AI prediction, risk scan, backtests. Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.

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