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Connect your AI to Rising Gamma

With the Pro + Connections plan, Rising Gamma becomes a remote MCP server (Model Context Protocol) your AI clients call directly: Claude on the web, Claude Code and LLM agents in your terminal (CLI), Cursor, ChatGPT and any MCP-capable client. Every analytics tool the platform offers (Monte Carlo, Markowitz, delta hedging, backtesting, Black-Scholes, correlations, COT, fundamentals and more) is exposed as a tool, and every output ships with its context: what each input means, how results are computed, and how to read every data series (the same series the platform charts).

The endpoint

<MCP endpoint — available at launch>

The public endpoint URL will be published here at launch.

Authorization uses OAuth with your Rising Gamma account: the first time a client connects, a sign-in page opens, approve it once and revoke it anytime from your account area (AI access section). MCP access requires the Pro + Connections plan.

Claude Code / terminal (CLI)

From any terminal with Claude Code installed:

claude mcp add --transport http rising-gamma <MCP endpoint — available at launch>

The browser opens for the one-time sign-in; after that, ask Claude things like “run a Monte Carlo financial plan on my portfolio”, it will call the platform's tools directly.

claude.ai (web)

  1. Settings → Connectors → Add custom connector
  2. Paste the endpoint URL above and confirm
  3. Sign in with your Rising Gamma credentials when prompted

Cursor and generic MCP clients

Add the server to your mcp.json (or equivalent config):

{
  "mcpServers": {
    "rising-gamma": { "url": "<MCP endpoint — available at launch>" }
  }
}

ChatGPT

Enable Developer mode (Settings → Connectors), then add the endpoint as a connector. Note: plain (non-developer) ChatGPT connectors expect search/fetch-style tools, Rising Gamma's search_knowledge and get_knowledge double as those, but full analytics tools require developer mode. Capabilities vary by ChatGPT plan.

What your AI can call

  • 30+ analytics tools, such as options pricing & strategies, Monte Carlo (strategy robustness, financial planning), Markowitz optimization, delta hedging, distribution/volatility/correlation/cycle analysis, backtesting, COT, SEC financials, 13F, insider trading, IPOs and more.
  • Workflow tools: search_assets (resolve tickers first), validate_portfolio (weights must sum to 100%), get_asset_overview (prices, volatility & standing as context before any analysis).
  • Knowledge tools: list_knowledge, get_knowledge, search_knowledge, get_platform_info: the platform's knowledge base (40+ topics), pricing FAQ, terms and feature-page catalog, so the AI always has the context behind each number.
  • get_quota: remaining calls at any moment.

Usage quota

The Connected plan includes a generous dedicated quota, sized for real agentic workflows. Requests that just prepare an analysis, resolving tickers, validating a portfolio, reading an asset's context or the built-in knowledge base, don't count against it; only the analyses themselves do. Your AI reads the exact figures live with get_quota, and when a limit is reached the server replies with a structured message telling the client exactly when to resume, so your AI handles it gracefully.

Good to know

  • Outputs are statistical analyses, not investment advice; your AI may transform or interpret them (see the Terms of Service).
  • Tickers in the dataset are exchange-qualified (e.g. APC.F): always resolve them with search_assets first.
  • You can revoke any connected client from Space → AI access; its tokens stop working within the hour.
Get Pro + Connections