mcp server
OptionsBell Options Flow
Unusual options activity on 7,000+ US stocks: top prints, streaks, IV rank, sentiment, sectors.
Description as published by the maintainer. Source
- version 2.0.0
- active
active — Most recent push to the repository was 2026-07-03.
What this server can do
13 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
get_dataset_stats- 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.
get_expiry_concentration(date, symbols)- 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.
get_flow_history(limit, symbol, date_to, date_from)- 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?' Required: symbol.
get_flow_sentiment(date, limit, sector, symbol, date_to, symbols, date_from, signal_only, min_strength)- 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; omit it for the cross-market snapshot (filterable by sector or minimum strength).
get_flow_streaks(date, side, limit, symbols, min_streak, min_volume)- 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?'
get_iv_rank(side, limit, symbol, max_rank, min_rank, lookback_days)- IV rank and IV percentile per symbol against its rolling history (needs 20+ days). Pass a symbol for its IV-rank time series; omit it for a ranked snapshot (e.g. side=put&min_rank=0.8 finds elevated put IV).
get_market_regime(limit, date_to, date_from)- 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?'
get_oi_changes(date, side, limit, symbol, min_prev_oi, min_change_pct)- 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; omit it for market-wide gainers/losers.
get_sector_flow(date, limit)- Which GICS sectors the day's unusual options premium is concentrating in: total premium, volume, average net delta and bullish/bearish symbol counts per sector.
get_symbol_flow(date, type, limit, symbol, date_to, date_from, min_voloi, min_premium)- Every unusual contract on a single ticker, sorted by Vol/OI. Use when the question is about one specific stock's unusual options flow. Required: symbol.
get_top_prints(date, type, limit, symbols, min_premium)- 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?'
get_unusual_activity(date, type, limit, min_iv, date_to, max_dte, symbols, date_from, min_voloi, min_premium)- 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. 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?'
ping- Liveness check for the OptionsBell MCP server. No API key required.
Last successful function declaration observed on . Source: https://optionsbell.com/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://optionsbell.com/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-07-03 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 2.0.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-03 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-07-03 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub | |
| mcp tools declared | 13 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | optionsbell.com | |
| mcp endpoint status | ok | The server listed 13 functions when asked. | as of probe | optionsbell.com |
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