gex.live

Endpoint https://mcp.gex.live/mcp (streamable HTTP) Registry live.gex/gex-mcp (official MCP registry)

Everything served is a measurement verifiable against the free history — no buy/sell signals, by design. Only derived per-session aggregates cross this interface, one session per call.

claude mcp add --transport http gex https://mcp.gex.live/mcp

// .cursor/mcp.json { "mcpServers": { "gex": { "url": "https://mcp.gex.live/mcp" } } }

The server is plain streamable HTTP: POST JSON-RPC to the endpoint, no session state.

curl -s https://mcp.gex.live/mcp -H "content-type: application/json" -d '{ "jsonrpc": "2.0", "id": 1, "method": "tools/call", "params": { "name": "get_session", "arguments": { "day": "2026-08-13" } } }'

plain words --> rule --> BACKTEST --> QUANT OPTIMIZE --> your desk (compile) (1 credit) (1 credit)

Manual token (scripts, clients without OAuth)

claude mcp add --transport http gex https://mcp.gex.live/mcp \ --header "Authorization: Bearer labk_YOUR_TOKEN"

// .cursor/mcp.json { "mcpServers": { "gex": { "url": "https://mcp.gex.live/mcp", "headers": { "Authorization": "Bearer labk_YOUR_TOKEN" } } } }

# 1. plain words -> a compiled rule (free) lab_compile { "message": "fade a +3 sigma stretch above vwap on top-decile volume" } -> { "kind": "spec", "idea": { "id": "i_4f2a", "name": "...", "spec": { ... } } } # 2. backtest the rule (1 credit; this is the step the idea is on) lab_run { "id": "i_4f2a", "kind": "backtest" } -> { "result": { legs, era tables: all / this year / holdout, verdict }, "state": { balance, ideas } } # 3. quant optimize the parameters (1 credit; only after a backtest) lab_run { "id": "i_4f2a", "kind": "quant" } -> every variant scored -- no picked winner, that judgment stays yours # 4. keep it: onto the desk, conveyor freed lab_idea { "id": "i_4f2a", "action": "desk" }

Then ask things like:“compile this idea — fade a +3σ stretch above vwap on top-decile volume — backtest it, and show me the holdout verdict.”

Not investment advice. Options trading carries substantial risk of loss. Backtested performance does not guarantee future results.

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