Anti-firehose options-flow data for AI agents: curated daily pool, features, realized outcomes.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by GammaRips Options Intelligence.
get_poolCallable MCP tool function
get_signalCallable MCP tool function
get_liquidityCallable MCP tool function
contractCallable MCP tool function
query_outcomesCallable MCP tool function
replay_contractCallable MCP tool function
Options-flow intelligence primitives for AI agents.
Every trading night GammaRips ranks 3,532 optionable US names by liquidity, takes the top 100, keeps the bullish ones, and prices one out-of-the-money call in each. That is a pool of roughly 40 to 50 contracts your agent can actually trade. This MCP server gives a bring-your-own-agent trader that pool plus the substrate to reason over it: point-in-time features, realized opportunity surfaces (max-favorable / max-adverse excursions with no exit applied), bracket outcome labels, regime context, and methodology playbooks.
We do not claim these are the best contracts. Two pre-registered studies found the pool indistinguishable from matched random optionable contracts. What the liquidity rule measurably fixes is executability: on a 60-day window ending 2026-08-14, no-fill at 10:00 ET went from 40.5% to 6.1%. Those are study numbers, not a live property of the pool.
Design principle: primitives, never a pick. There is no "what should I buy" endpoint. Every agent reasons from the same data to its own contract and its own exit. Paper-traded research data; educational only; not investment advice.
https://mcp.gammarips.com/mcphttps://mcp.gammarips.com/ssehttps://mcp.gammarips.com/jsonrpchttps://mcp.gammarips.com/.well-known/mcp/server-card.jsonhttps://mcp.gammarips.com/pro. Same
server, same 9 tools, but it requires a credential, so ChatGPT, Claude
(claude.ai / Desktop), Cursor, and any MCP client that speaks OAuth 2.1
offers a GammaRips sign-in when you add it. Your subscription tier rides in
the token. Discovery: /.well-known/oauth-protected-resource/pro;
authorization server: https://gammarips.com.gr_live_... as
Authorization: Bearer <key> (or X-API-Key), for clients that can send a
header. (2) OAuth 2.1 access token, minted by gammarips.com after you sign in
(chat clients) or by a machine client with client_credentials (headless
agents, see below). Free-tier tools work on /mcp with no credential at all;
the 4 pro tools need an active subscription on either credential. Enforce
is live. Get access at gammarips.com/pricing.V4 (2026-07-17) consolidated the 29-tool V3 surface into 9. The absorbed tools
live on as view= / granularity= modes of these 9. web_search was removed.
Free tier (no key): get_pool, get_regime_context,
get_market_calendar_status, get_playbook, get_daily_report.
Pro tier (Agent Access, $29/mo key): get_signal, get_liquidity,
query_outcomes, replay_contract.
get_pool (free) β the candidate pool: view="enriched" (curated
narrative/technicals/contract/mom_60, leakage-safe view; default),
"raw" (pre-curation scan), "features" (point-in-time feature vectors
from the allowlist view), "preview" (public teaser).get_signal (pro) β one ticker: view="detail" (full enrichment,
default) or view="earnings" (the doctrine earnings-window check).get_liquidity (pro) β fresh entry-day liquidity: a single contract
(cache-first, live=true to force upstream) or the whole pool / a
contracts shortlist in one call. No quote fields on this data plan.query_outcomes (pro) β the outcomes + receipts substrate, via view=:
labels (row-level bracket labels + features; default), summary (grouped
aggregates), surface (per-contract MFE/MAE excursions, exit-free β
aggregate_only=True gives MFE/MAE quantiles over the WHOLE window and is the
mode to use for exit design, since row mode is capped at 200 rows and declares
it via truncated / matched_rows / partial_scan_date),
harvest (touch-probability curve), exit_rule (score YOUR bracket/trailing
rule), signal_performance / win_rate (UNDERLYING-direction, not option
PnL), positions / performance (the engine's realized paper-trade receipts,
cohort-filtered). The live cohort is the pair V7_1_TILTED_GIGO and
entry on/after cohort_start (2026-08-10), which responses now carry β the
policy label ALONE does not define the cohort, because the ledger retains
disowned cohorts under that same label. Right after a reset the live cohort
is legitimately empty: total_trades: 0 with null aggregates means "has not
accrued closed trades yet", NOT "0% win rate". policy_version="all" reaches
every era but includes cohorts the engine has disowned β not a track record.replay_contract (pro) β raw price tape for your own exit rule:
granularity="minute" (intraday path + exact first-crossing; default) or
"day" (daily OHLCV mark series). This server does not simulate exits.get_regime_context (free) β VIX/VIX3M/SPY-trend as-of scan date + the
fail-closed regime rail.get_market_calendar_status (free) β view="status" (NYSE open/close,
default) or view="scan_dates" (which scan dates have data).get_playbook (free) β methodology + reference: no arg lists the
catalog; name= fetches a playbook (start-here, daily-workflow,
run-your-own-tournament, exit-lab, leakage-and-data-contract,
changelog) or name="schema" the machine-readable data contract (per-column
leakage classification); field= explains any signal field (deterministic,
no LLM). Playbooks are also MCP resources (gammarips://playbooks/{name}).get_daily_report (free) β view="report" (full daily report, default)
or view="list" (recent reports).web_search (V4). The engine's own daily selection is not published same-day
(get_todays_pick / list_todays_picks / get_open_position removed in V3);
realized receipts remain via query_outcomes(view="positions").
morning_brief, analyze_candidate(ticker), run_your_own_tournament β thin orchestrations over the tools above. None returns a pick.
Add a custom connector / remote MCP server with the URL
https://mcp.gammarips.com/pro. The client discovers the authorization server
(gammarips.com), registers itself (Client ID Metadata Document or dynamic
registration), and opens the GammaRips sign-in + consent page. No key to paste.
Not subscribed yet? The connection still works on the free tools and the pro
tools answer with the subscribe steps; pro access applies on the next token
refresh (within an hour) after you subscribe, or when you reconnect.
For an agent with no browser and no human, create a machine client on
gammarips.com/account (Agent Access required).
You get a client_id + client_secret (shown once). Mint a one-hour access
token with the client_credentials grant and send it as a bearer:
Mint before each run: there is no refresh token for machine clients, and the tier is re-read from your subscription on every mint. An API key still works for the same purpose; the machine client is the short-lived-credential option.
Easiest β install the plugin. This repo is an Open Plugins-standard plugin (.cursor-plugin/plugin.json): it bundles the hosted MCP server plus a gammarips-options-flow skill that teaches your agent the data-not-advice workflow. Install it from the plugin marketplace (search "GammaRips") or point Cursor at this repo. It connects on the free tier out of the box; add your gr_live_... key for pro tools.
Manual: Settings β MCP β Add new MCP server, or add to .cursor/mcp.json:
Omit headers for the free tier.
MCP Servers β Remote Servers β Add, or add to cline_mcp_settings.json:
Omit headers for the free tier (5 anon tools).
Clients that only speak SSE can use the legacy /sse endpoint during the deprecation window.
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