A
licenseA
qualityB
maintenanceAnti-firehose options-flow data for AI agents: curated daily pool, features, realized outcomes.
9
MIT
OptionsBell Options Flow
Server Details
Unusual options activity on 7,000+ US stocks: top prints, streaks, IV rank, sentiment, sectors.
If you are the author of this connector, you can claim ownership by verifying the domain or GitHub account it belongs to. Claimed connector authors can inspect health checks, view analytics, and manage their listing.
- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- Repository
- stockmarketscan/optionsbell-mcp
- GitHub Stars
- 0
- ChatGPT
- –
- Claude
- –
TDQS
A4/5.0
Scored across 13 tools
Disambiguation4/5
Each tool targets a distinct analytical angle (history, sentiment, streaks, expiry, sector, regime, etc.), so selection is generally clear. There is some overlap between get_symbol_flow and get_unusual_activity when filtering to a single ticker, and get_flow_sentiment/get_market_regime are adjacent in spirit.
Naming Consistency4/5
All data tools use a consistent get_<snake_case_noun> pattern. The only deviation is ping, a conventional health-check exception rather than a data operation.
Tool Count5/5
13 tools is well within the ideal range for a specialized data server. Each tool covers a distinct query pattern without redundancy or bloat.
Completeness5/5
The server covers the full unusual-options-flow workflow: discovery, contract-level scans, per-symbol history, sentiment, streaks, IV context, OI changes, sector/expiry aggregates, top prints, and market regime. No obvious dead-end or missing operation for its stated purpose.
Available Tools
13 toolsget_dataset_statsDataset coverageAInspect
Discover what data is available before querying: date ranges, contract counts, symbol counts and sector coverage for the unusual-activity dataset and its daily aggregates. Call this first when unsure about available history.
Inputs: no named parameters.
get_expiry_concentrationExpiry (DTE) concentration (Pro)AInspect
Where the day's unusual premium sits along the expiry axis, in DTE buckets (0-7, 8-30, 31-90, 90+) with call/put splits. Heavy short-dated premium reads as event bets; heavy long-dated as positioning.
Inputs: date, symbols.
get_flow_historyPer-symbol unusual-flow history (Pro)AInspect
End-of-day series of one symbol's UNUSUAL options flow (aggregated from the contracts that passed the unusual filter - not the full tape): daily call/put volume, premium, C/P ratios, average IV, net delta and the consecutive-day streak. ~75 trading days - the series behind back-tests and 'how has unusual flow on NVDA developed?'
Inputs: symbol (required), limit, date_to, date_from.
get_flow_sentimentFlow sentiment (Pro)AInspect
Bullish/bearish classification of each symbol's unusual flow with a 0-9 strength score, based on call/put volumes, premium and net delta. Pass a symbol for that ticker's sentiment time series (date_from, date_to, limit apply); omit it for the cross-market snapshot (filterable by sector, side, minimum strength or premium).
Inputs: date, side, limit, offset, +8 more.
get_flow_streaksMulti-day unusual-flow streaks (Pro)BInspect
Symbols with unusual options activity on N+ consecutive trading days, with the dominant side (call/put). Persistent unusual flow is a stronger signal than a single print - use for 'where does money keep showing up?'
Inputs: date, side, limit, offset, +3 more.
get_iv_rankIV rank (Pro)AInspect
IV rank and IV percentile per symbol against its rolling history (needs 20+ days). Pass a symbol for its IV-rank time series (lookback_days, limit apply); omit it for a ranked snapshot (e.g. side=put&min_rank=0.8 finds elevated put IV; side=both ranks by the higher of call/put IV rank).
Inputs: side, limit, symbol, max_rank, +2 more.
get_market_regimeMarket breadth & regime (Pro)AInspect
Market-wide breadth of unusual flow per trading day: breadth score 0-100, aggregate call/put ratio, regime label (bullish/bearish/mixed) and signal counts. Use for 'what's the overall tone of the unusual-flow tape?'
Inputs: date, limit, date_to, date_from.
get_oi_changesOpen-interest changes (Pro)AInspect
Day-over-day open-interest change per symbol (total, calls, puts) - fresh positioning being built or unwound. Pass a symbol for its OI-change series (date_from, date_to, limit apply); omit it for market-wide gainers/losers.
Inputs: date, side, limit, offset, +6 more.
get_sector_flowSector unusual-flow rollup (Pro)AInspect
Which sectors the day's unusual options premium is concentrating in: total premium, volume, average net delta and bullish/bearish symbol counts per sector label (11 GICS sectors plus Diversified, Unknown and Unclassified; only labels with activity, at most 14 rows).
Inputs: date, limit.
get_symbol_flowPer-symbol unusual activityBInspect
Every unusual contract on a single ticker, ranked by score (Vol/OI weighted by premium). Use when the question is about one specific stock's unusual options flow.
Inputs: symbol (required), date, type, limit, +4 more.
get_top_printsTop prints of the dayAInspect
The day's biggest options bets ranked by estimated premium - the same view OptionsBell alert emails lead with. Perfect for 'what were the largest options trades today?'
Inputs: date, type, limit, offset, +2 more.
get_unusual_activityUnusual options activityAInspect
Contract-level unusual options activity scan across 7,000+ US stocks (the dataset behind OptionsBell alerts). Filter by symbols, side and thresholds: Vol/OI ratio, premium (USD), IV, days-to-expiration, volume, open interest. Rows include strike, expiry, volume, open interest, IV, delta, sector and an estimated premium. Use for questions like 'what unusual put buying hit TSLA today?'
Inputs: raw, date, type, limit, +11 more.
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