Stratifyre's MCP server lets any AI client (Claude Desktop, Cursor, Cline, or custom agents) create strategies, run backtests, query market data, manage scanners, and deploy live trading bots.All through natural language.
Imagine an AI that works 24/7—brainstorming new market anomalies, writing strategy code, running rigorous backtests, and seamlessly deploying the winners to live markets. That is the power of Stratifyre's MCP Server.
Your AI agents can continuously analyze market conditions, discover new trading opportunities, and write the strategy logic automatically—without you lifting a finger.
Agents can autonomously trigger historical backtests, analyze the resulting performance metrics, and iteratively refine the strategy until it meets your criteria.
Once a strategy passes validation, your AI can instantly deploy trading bots to live markets, seamlessly transitioning from research to execution completely autonomously.
Connect any MCP-compatible client in under a minute. Standard OAuth 2.1 — no API keys to manage, no custom SDK required.
Add the Stratifyre MCP server URL to Claude Desktop, Cursor, Cline, or any MCP-compatible client. The client auto-discovers all endpoints via standard RFC metadata — no manual configuration needed.
OAuth 2.1 with PKCE — the industry standard for secure public clients. No client secrets. No API keys. Just log in and approve the scopes you want to grant.
The client reads your profile, subscription tier, remaining entitlements, and available scopes. It knows what you can do before it tries — preventing wasted calls on operations that would fail.
Create strategies, run backtests, query market data, manage scanners — all via natural language or structured tool calls. The AI handles the complexity while you focus on your trading ideas.
One protocol covers everything. No partial integrations, no missing endpoints.
Create, clone, update, delete strategies. Convert natural language to rules via AI. Full lifecycle management.
Start, rerun, analyze. Equity curves, trades, Monte Carlo, performance segments, runtime events.
Search instruments, fetch OHLCV bars, trade ticks, benchmarks, latest prices, crypto metadata.
Create, start, stop, clone scanners. Query trigger events. Full real-time alerting control.
Launch analyses, inspect folds, read aggregated OOS results. Rolling and anchored modes.
User profile, billing reconciliation, spending cap status, and available scopes. Your AI always knows context before it acts.
Strategy optimization, backtest comparison, and operations triage. Built-in analytical workflows that guide your AI step by step.
These aren't hypotheticals. Every workflow below is possible today with Stratifyre's MCP server.
Agents come up with strategies, convert them to algorithms, run backtests and analyze performance, adjust parameters, and re-run — autonomously optimizing until a target metric is met.
The strategy-optimization prompt walks your AI through a 6-step workflow: baseline review, trade analysis, Monte Carlo robustness, walk-forward validation, parameter recommendations, and retesting.
A pipeline triggers a walk-forward analysis via MCP, waits for completion, checks the Walk Forward Efficiency score, and blocks deployment if the strategy fails to generalize.
A custom agent polls scanner triggers, fetches market context via OHLCV data, and surfaces alerts with AI-generated commentary. New scanners can be spun up from proven templates.
Connect Claude, Cursor, or any MCP client to Stratifyre and let AI drive your entire trading workflow — from strategy creation to backtest analysis.