GammaRips MCP Server

Options-flow intelligence primitives for AI agents.

Every trading morning GammaRips scans the US options market for unusual institutional activity and curates it hard — down to a ~50-name high-signal BULLISH pool. 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.

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.

Hosted MCP endpoint

• Streamable HTTP (primary): https://mcp.gammarips.com/mcp

• SSE (legacy, deprecation window): https://mcp.gammarips.com/sse

• Stateless JSON-RPC: https://mcp.gammarips.com/jsonrpc

• Server card: https://mcp.gammarips.com/.well-known/mcp/server-card.json

• Auth: bearer-token tiering (Phase 2). Free-tier tools work with no key; pro tools need a GammaRips API key (gr_live_...) sent as Authorization: Bearer <key>. Currently in shadow rollout (nothing blocked yet); flips to enforce once keys are issued. Get one at gammarips.com/pricing.

Related MCP server: TickerAPI

Available tools (9)

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, $39/mo key): get_signal, get_liquidity, query_outcomes, replay_contract.

• get_pool (free) — 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) — one ticker: view="detail" (full enrichment, default) or view="earnings" (the doctrine earnings-window check).

• get_liquidity (pro) — 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) — the outcomes + receipts substrate, via view=: labels (row-level bracket labels + features; default), summary (grouped aggregates), surface (per-contract MFE/MAE excursions, exit-free), 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, default live V7_1_TILTED_GIGO).

• replay_contract (pro) — 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) — VIX/VIX3M/SPY-trend as-of scan date + the fail-closed regime rail.

• get_market_calendar_status (free) — view="status" (NYSE open/close, default) or view="scan_dates" (which scan dates have data).

• get_playbook (free) — 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) — view="report" (full daily report, default) or view="list" (recent reports).

Removed

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").

Prompts

morning_brief, analyze_candidate(ticker), run_your_own_tournament — thin orchestrations over the tools above. None returns a pick.

Quick connect

Claude Code

# Free tier (no key):
claude mcp add --transport http gammarips https://mcp.gammarips.com/mcp

# Pro (with your key):
claude mcp add --transport http gammarips https://mcp.gammarips.com/mcp \
  --header "Authorization: Bearer gr_live_your_key"

Cursor

Easiest — 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 → MCP → Add new MCP server, or add to .cursor/mcp.json:

{
  "mcpServers": {
    "gammarips": {
      "url": "https://mcp.gammarips.com/mcp",
      "headers": { "Authorization": "Bearer gr_live_your_key" }
    }
  }
}

Omit headers for the free tier.

Cline

MCP Servers → Remote Servers → Add, or add to cline_mcp_settings.json:

{
  "mcpServers": {
    "gammarips": {
      "url": "https://mcp.gammarips.com/mcp",
      "type": "streamableHttp",
      "headers": { "Authorization": "Bearer gr_live_your_key" }
    }
  }
}

Omit headers for the free tier (5 anon tools).

Generic MCP config

{
  "mcpServers": {
    "gammarips": {
      "url": "https://mcp.gammarips.com/mcp"
    }
  }
}

Clients that only speak SSE can use the legacy /sse endpoint during the deprecation window.

Free tier works with no account: get_pool, get_regime_context, get_market_calendar_status, get_playbook, get_daily_report. Pro tools (get_signal, get_liquidity, query_outcomes, replay_contract) require Agent Access ($39/mo) — generate a key at gammarips.com.

Local development

Prerequisites

• Python 3.10+

• Optional: Docker

Setup

git clone https://github.com/DevDizzle/gammarips-mcp.git
cd gammarips-mcp
python -m venv .venv
source .venv/bin/activate
pip install -e .
cp .env.example .env

Run locally

PYTHONPATH=src python src/server.py

The server binds to 0.0.0.0:${PORT:-8080}, Streamable HTTP at /mcp (SSE fallback).

Docker

docker build -t gammarips-mcp .
docker run --rm -p 8080:8080 --env-file .env gammarips-mcp

Environment

See .env.example for the current environment variables. Typical values include:

• GCP_PROJECT_ID

• FIRESTORE_DATABASE

• GCS_BUCKET_NAME

• LOG_LEVEL

• PORT

Validation

Python compile check

python -m compileall src

Docker build check

docker build -t gammarips-mcp:test .

Deployment

Deployment is manual (the CD workflow was removed; .github/workflows/ci.yml only runs ruff format --check + ruff check on pushes/PRs to main).

Ship a new revision with the deploy script, which uses a Cloud Run source deploy and reproduces the live config exactly (secrets via Secret Manager, REQUIRE_API_KEY=false):

bash scripts/deploy.sh

Equivalent one-liner:

gcloud run deploy gammarips-mcp --source=. \
  --project=profitscout-fida8 --region=us-central1 \
  --set-env-vars="REQUIRE_API_KEY=false" \
  --set-secrets="POLYGON_API_KEY=POLYGON_API_KEY:latest,GOOGLE_API_KEY=GOOGLE_API_KEY:latest,GOOGLE_CSE_ID=GOOGLE_CSE_ID:latest"

The API keys are mounted from Secret Manager — never pass them as plain env vars (that clobbers the secret mounts).

Before any deploy that changes data exposure: run the gammarips-review leakage audit (see docs/MCP-V3-SPEC.md §2.4).

Security

See SECURITY.md for the trust model — read-only guarantee, parameterized-query SQL-injection defense, response-size bounds, per-IP rate limits, sanitized errors, leakage-safe views, and the column-classification data contract.

License

MIT