Skip to main content
Glama

HowRisky MCP Server

by howrisky
README.md5.12 kB
# HowRisky MCP Server Monte Carlo risk analysis for AI agents. Institutional-grade financial modeling with fat-tail distributions and proprietary KDE algorithms. **8 Tools:** Portfolio risk (CVaR, ruin probability), startup equity, real estate, Kelly criterion betting, and more. **Compatible with:** Claude Desktop, ChatGPT Desktop, Cursor, Windsurf, Cline, GitHub Copilot, VS Code, Codex --- ## Standard Config ```json { "mcpServers": { "howrisky": { "command": "npx", "args": ["-y", "howrisky-mcp-server"], "env": { "HOWRISKY_API_KEY": "your-api-key-here" } } } } ``` Get your free API key at: **https://howrisky.ai/app/settings** (100 calls/month free) --- ## Getting Started **Step 1:** Get your API key from https://howrisky.ai/app/settings **Step 2:** Add the standard config above to your AI tool's MCP configuration That's it! Your AI can now access Monte Carlo risk simulations. --- ## Installation <details> <summary>Claude Desktop</summary> Edit config file: - MacOS: `~/Library/Application Support/Claude/claude_desktop_config.json` - Windows: `%APPDATA%\Claude\claude_desktop_config.json` Add the **standard config above**. Restart Claude Desktop. **Test it:** Ask Claude *"Using HowRisky, what's the risk of a 60/40 portfolio?"* </details> <details> <summary>ChatGPT Desktop</summary> 1. Open ChatGPT Desktop Settings 2. Go to **Apps & Connectors** → **Advanced settings** 3. Enable **Developer mode** 4. Add MCP server configuration (use **standard config above**) Restart ChatGPT Desktop. **Test it:** Ask ChatGPT *"Use HowRisky to calculate CVaR for 100% SPY portfolio"* </details> <details> <summary>Cursor</summary> Add to Cursor's MCP configuration file: Use the **standard config above**. Cursor supports MCP via VS Code extension compatibility. </details> <details> <summary>Windsurf</summary> Add to Windsurf MCP settings: Use the **standard config above**. Windsurf's MCP integration works similarly to Cursor. </details> <details> <summary>Cline (VS Code)</summary> **Via Cline MCP Marketplace:** 1. Open Cline in VS Code 2. Search for "howrisky" in MCP Marketplace 3. Click Install 4. Enter API key when prompted **Manual Setup:** Add to VS Code Settings → Extensions → Cline → MCP Servers: Use the **standard config above**. </details> <details> <summary>GitHub Copilot / VS Code</summary> Add to VS Code `settings.json`: Use the **standard config above** in the MCP servers configuration section. </details> <details> <summary>Remote Server (HTTP)</summary> For custom integrations or web-based AI tools: **Endpoint:** `https://mcp.howrisky.ai` **Authentication:** Include `X-API-Key` header with your API key **Documentation:** https://howrisky.ai/mcp/docs Example: ```bash curl -X POST https://mcp.howrisky.ai \ -H "X-API-Key: your-api-key" \ -H "Content-Type: application/json" \ -d '{"jsonrpc":"2.0","method":"tools/list","id":1}' ``` </details> --- ## Available Tools | Tool | Description | |------|-------------| | `calculate_portfolio_risk` | CVaR, VaR, ruin probability, survival probability | | `simulate_future_timelines` | Year-by-year portfolio evolution with percentiles | | `compare_portfolios` | Side-by-side risk comparison of multiple portfolios | | `text_to_portfolio` | Natural language → asset allocations | | `add_startup` | Startup equity modeling with exit scenarios | | `add_real_estate` | Real estate with cash flows, IRR, mortgage analysis | | `add_private_asset` | Illiquid asset modeling (PE funds, etc.) | | `add_gamble` | Kelly criterion for high-risk betting strategies | **Full documentation:** https://howrisky.ai/mcp/docs --- ## Example Usage Once configured, ask your AI: > *"Using HowRisky, calculate the risk of investing $100K in a 60/40 portfolio over 20 years"* The AI will: 1. Discover HowRisky tools via `tools/list` 2. Call `calculate_portfolio_risk` with correct parameters 3. Return CVaR, survival probability, ruin risk, and other metrics --- ## Features **Fat-Tail Modeling** - Gaussian models underestimate crash risk by 3-10x. Our proprietary KDE captures reality. **Comprehensive Metrics** - 12 risk metrics including CVaR 95/99, VaR, ruin probability, percentiles **Private Assets** - Model startups, real estate, PE funds, and high-risk gambles **Tax-Aware** - 15+ countries supported (US, GB, DE, FR, IT, ES, JP, AU, CA, etc.) **Custom Scenarios** - Override historical data with your own market assumptions --- ## Pricing | Tier | Calls/Month | Price | |------|-------------|-------| | Free | 100 | $0 | | Developer | 10,000 | $99 | | Professional | 100,000 | $299 | | Enterprise | 1,000,000 | $999 | View pricing: https://howrisky.ai/mcp/pricing --- ## Support - **Issues:** https://github.com/howrisky/howrisky-mcp-server/issues - **Docs:** https://howrisky.ai/mcp/docs - **Email:** mcp@howrisky.ai --- ## License Proprietary - Copyright © 2025 Diogo Seca / HowRisky.ai You may use this software to access HowRisky MCP API. Modification and redistribution prohibited. See `LICENSE` for details.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/howrisky/howrisky-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server