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Anti-firehose options-flow data for AI agents: curated daily pool, features, realized outcomes.
About
Anti-firehose options-flow data for AI agents: curated daily pool, features, realized outcomes.
Remote endpoints: streamable-http: https://mcp.gammarips.com/mcp
Security Report
The GammaRips MCP server implements a tiered authentication model with API key requirements for pro features, and handles sensitive financial data with explicit leakage controls and SQL parameterization. However, there are moderate concerns around environment variable exposure in error contexts, broad exception handling that could mask security issues, and insufficient input validation on numeric parameters that could lead to unexpected SQL behavior. Supply chain analysis found 10 known vulnerabilities in dependencies (1 critical, 3 high severity).
3 files analyzed · 18 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Documentation
View on GitHubFrom the project's GitHub README.
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 - 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_...asAuthorization: Bearer <key>(orX-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 withclient_credentials(headless agents, see below). Free-tier tools work on/mcpwith 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, $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) orview="earnings"(the doctrine earnings-window check).get_liquidity(pro) — fresh entry-day liquidity: a singlecontract(cache-first,live=trueto force upstream) or the whole pool / acontractsshortlist in one call. No quote fields on this data plan.query_outcomes(pro) — the outcomes + receipts substrate, viaview=:labels(row-level bracket labels + features; default),summary(grouped aggregates),surface(per-contract MFE/MAE excursions, exit-free —aggregate_only=Truegives 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 viatruncated/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 pairV7_1_TILTED_GIGOand entry on/aftercohort_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: 0withnullaggregates 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) orview="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) orname="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) orview="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 ($39/mo) — generate a key at gammarips.com, or connect through /pro and sign in.
Local development
Prerequisites
- Python 3.10+
- Optional: Docker
Setup
git clone https://github.com/DevDizzle/gammarips-mcp.git
cd gammarips-mcp
python -m venv .venv
source .venv/bin/activate
pip install -e .
cp .env.example .env
Run locally
PYTHONPATH=src python src/server.py
The server binds to 0.0.0.0:${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_IDFIRESTORE_DATABASEGCS_BUCKET_NAMELOG_LEVELPORTREQUIRE_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, seesrc/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
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