GammaRips Options Intelligence MCP server

GammaRips MCP Server

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.

Better-quality contracts, by the numbers. The pool is selected on contract liquidity. Since the liquidity rule went live (2026-08-24, 1,301 contracts), median open interest is 4,664 and median session volume is 1,039, against 906 and 232 in the 60 scan days before. The thinnest 10% still carry 1,635 open interest, against 29. In a 60-day study, no-fill at the 10:00 ET entry fell from 40.5% to 6.1%. Liquid contracts are the ones you can enter and exit near the quote.

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
• OAuth endpoint (chat clients): https://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.
• Auth: two credentials, one tiering. (1) API key: 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.

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, $29/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 — 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 — 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 — not a track record.
• 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), view="scan_dates" (which scan dates have data), or view="freshness" (is the pool the right pool: the expected scan date, each pipeline stage's status, the scan date get_pool serves, and a fail-closed fresh flag with machine reasons).
• 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"

# Pro with OAuth instead of a key (sign in once in the browser, tokens refresh):
claude mcp add --transport http gammarips https://mcp.gammarips.com/pro
# then run /mcp inside Claude Code and choose "Authenticate"

ChatGPT, Claude (claude.ai / Desktop), and other OAuth chat clients

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.

Headless agents (a VM, a cron, a server): machine clients

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:

TOKEN=$(curl -s -u "$GR_CLIENT_ID:$GR_CLIENT_SECRET" \
  -d grant_type=client_credentials \
  -d resource=https://mcp.gammarips.com/pro \
  https://gammarips.com/oauth/token | jq -r .access_token)

# Claude Code headless (claude -p), with the token in .mcp.json:
#   { "mcpServers": { "gammarips": { "type": "http",
#       "url": "https://mcp.gammarips.com/pro",
#       "headers": { "Authorization": "Bearer ${GAMMARIPS_MCP_TOKEN}" } } } }
GAMMARIPS_MCP_TOKEN="$TOKEN" claude -p "..." 

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.

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 ($29/mo, 30-day free trial) — generate a key at gammarips.com, or connect through /pro and sign in.

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
• REQUIRE_API_KEY / AUTH_SHADOW (API-key gate mode)
• OAUTH_ENABLED / OAUTH_ISSUER / OAUTH_JWKS_URL / OAUTH_MCP_RESOURCE_ORIGINS (OAuth 2.1 resource server; defaults are production, see src/utils/oauth.py)

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, the column-classification data contract, and the OAuth 2.1 resource-server model (this service only verifies tokens; gammarips.com is the authorization server).

License

MIT