MCP server
Stratify
site.aeon-labs/stratify
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Backtest NIFTY option strategies on real 1-minute data, with an honest out-of-sample panel.
Working at last checkVerified publisher: aeon-labs.siteAbout 4,457 tokens per request once connected11 tools
https://stratify-mcp.aeon-labs.site/mcp
At a glance
- Type
- MCP server
- Publisher
- aeon-labs.site (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 11
- Token cost
- About 4,457 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http stratify https://stratify-mcp.aeon-labs.site/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.stratify] url = "https://stratify-mcp.aeon-labs.site/mcp"
Gemini CLI
{"mcpServers":{"stratify":{"httpUrl":"https://stratify-mcp.aeon-labs.site/mcp"}}}
Cursor
{"mcpServers":{"stratify":{"url":"https://stratify-mcp.aeon-labs.site/mcp"}}}
VS Code
{"servers":{"stratify":{"type":"http","url":"https://stratify-mcp.aeon-labs.site/mcp"}}}
Antigravity
agy mcp add stratify https://stratify-mcp.aeon-labs.site/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"stratify","server_url":"https://stratify-mcp.aeon-labs.site/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"stratify","server_url":"https://stratify-mcp.aeon-labs.site/mcp"}
Tools
build_report~529 tokens
Creates a shareable report page for a backtest the user owns and returns its URL. The page carries the honesty panel, equity and drawdown curves, walk-forward folds, the gross-to-net breakdown, a month grid and the trade table, computed from the stored backtest. Use when the user asks for a report odescribe_coverage~70 tokens
What data is available: symbols, date range, resolution, structures, gates, biases, the cost model, and every known gap.explain_methodology~148 tokens
How a result is produced: entry pricing, settlement, margin, slippage, the honesty rubric, and what each check can and cannot establish.fetch~62 tokens
Fetch a document or backtest result by id, as returned by search.get_backtest~104 tokens
Retrieve a previous backtest result by its id — honesty panel, equity curve and per-trade detail, exactly as first computed.list_backtests~130 tokens
The account's backtests, newest first, with id, date, trade count, net P&L and report URL. Answers a request for the most recent run, which list_strategies does not: that one returns only results that passed the evidence checks, ranked by consistency rather than by date.list_strategies~194 tokens
Strategies from THIS account's history that held up under out-of-sample and walk-forward checks, not merely ones that made money. Ranked by worst walk-forward fold — consistency, not size. Answers what has worked on this account so far without re-running anything.my_feedback~68 tokens
Reports this account has filed, and where each one stands. Use it to answer 'did that bug I reported ever get fixed?'.run_backtest~2792 tokens
Backtest an Indian index option strategy on real 1-minute NIFTY options data. Returns P&L after real charges and slippage, return-on-margin, and an honesty panel: out-of-sample split, walk-forward folds, bootstrap interval, and a deflated Sharpe that accounts for how many variants you have already tsearch~78 tokens
Search what this service covers — symbols, dates, structures, signals, methodology. Returns ids usable with fetch.submit_feedback~282 tokens
Files a bug report or feature request when the user asks to report something. Confirm the title and body with the user before filing. Passing backtest_id attaches that backtest's spec so the issue can be reproduced.
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