_ registry / mcp http-sse · checked 3h ago

stockmarketscan

https://mcp.stockmarketscan.com

Registry code: 5978b3eaed780935

api record

StockMarketScan exposes US equity screeners, chart patterns, options flow and per-stock research.

Tool selection tips:

endpoint
https://mcp.stockmarketscan.com/mcp
protocol
http-sse ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing
karma
0 · newcomer
reachable
live
uptime, 30 days
100%

90 days 100%· all time 100%

latency
139ms

last good check

priced tools
0

of 20 tools

_ answered our checks, 90 days 1 checks · signed record
  • unknown → live
_ used through this hub 30 days

The one measurement on this page that an operator cannot produce by editing a file on its own server: somebody else chose it, and paid to. Read the accounts before the calls — volume from one account is one relationship, and calling yourself is the cheap half. Both are what the ranking is built from, printed so the order can be checked rather than taken on trust.

accounts
0

distinct, expensive to fake

calls served
0

successful, last 30 days

_ what it can do 20 tools
20 auth-required 20 of 20 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • list_screeners auth-required never probed

    Return metadata for all 24 stock screeners on the platform, including each screener's slug, name, description, category, and tier. Use this to discover which screeners are available before calling get_screener_data. Call this once per session — the list changes very rarely. Returns { tier, total, accessible, screeners: [...] }.

    mcp-tool

    {
  "type": "object",
  "required": [],
  "properties": {}
}
    arguments 5 lines
  • get_screener_data auth-required never probed

    Return the current rows of a single stock screener for its latest data date. Use this when the user asks about a specific screener like 'hot prospects' or 'golden cross'. Common slugs: hot-prospects, golden-cross, death-cross, rsi-oversold, rsi-overbought, defensive-stocks, dividend-prospects, j-pattern, nearing-6-month-highs, week-52-high-top-picks, top-penny-pops, strong-volume-gains, top-tech-stocks, fundamentally-fine, income-and-growth, best-reits. If you don't know the slug, call list_screeners first. Returns { screener, pagination, data: [stock rows] }.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "slug"
  ],
  "properties": {
    "page": {
      "type": "integer",
      "default": 1,
      "maximum": 10000,
      "minimum": 1,
      "description": "Page number (1-based)"
    },
    "slug": {
      "type": "string",
      "minLength": 1,
      "description": "The screener slug, e.g. 'hot-prospects', 'golden-cross', 'rsi-oversold'"
    },
    "limit": {
      "type": "integer",
      "default": 50,
      "maximum": 500,
      "minimum": 1,
      "description": "Rows per page (max 500)"
    }
  },
  "additionalProperties": false
}
    arguments 29 lines
  • get_stock_info auth-required never probed

    Return basic metadata for a stock — full company name, exchange, industry, last close price, and percent change. Use this when you first encounter a symbol and need to identify it. Lighter than get_stock_report (composite) or get_candles (full history). Returns { symbol, symbol_name, last_price, percent_change, exchange, industry }. Returns NOT_FOUND for unknown tickers.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "symbol"
  ],
  "properties": {
    "symbol": {
      "type": "string",
      "pattern": "^[A-Z0-9.^=\\-]{1,20}$",
      "description": "Stock ticker, e.g. AAPL"
    }
  },
  "additionalProperties": false
}
    arguments 15 lines
  • get_candles auth-required never probed

    Return OHLCV price candles for a single stock. Use when you need price history to compute indicators or answer 'how much is X up this month'. time is a Unix epoch in seconds (UTC midnight for daily). Default range is 6mo. Use larger ranges like '1y' or '2y' only when the user explicitly asks for long history — max range is 20 years. Returns { symbol, interval, range, count, data: [{time, open, high, low, close, volume}] }.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "symbol"
  ],
  "properties": {
    "range": {
      "type": "string",
      "default": "6mo",
      "description": "Range: 1d, 5d, 1y, 2y, 5y, max, or {N}mo (1-240)"
    },
    "symbol": {
      "type": "string",
      "pattern": "^[A-Z0-9.^=\\-]{1,20}$",
      "description": "Stock ticker"
    },
    "interval": {
      "enum": [
        "1d",
        "1wk"
      ],
      "type": "string",
      "default": "1d",
      "description": "Daily or weekly candles"
    }
  },
  "additionalProperties": false
}
    arguments 29 lines
  • ping auth-required never probed

    Minimal sanity check. Returns { status, version, timestamp, cache_size }. No auth needed. Use this to verify the MCP server is reachable and responsive.

    mcp-tool

    {
  "type": "object",
  "required": [],
  "properties": {}
}
    arguments 5 lines
  • search_patterns auth-required never probed

    Find all stocks across one or more screeners that currently exhibit specific chart patterns. Much faster than calling get_chart_patterns in a loop. Use when the user asks 'which stocks have a cup and handle' or 'find me hot prospects with bullish reversal patterns'. Requires a Basic or Pro API key. Results are capped per screener group via `limit` (default 100); capped groups carry `truncated: true`. Returns { interval, selectedPatterns, totalUniqueStocks, groups: [...] }.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "screener_slugs"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "default": 100,
      "maximum": 500,
      "minimum": 1,
      "description": "Max matching stocks per screener group (default 100)"
    },
    "interval": {
      "enum": [
        "1d",
        "1wk"
      ],
      "type": "string",
      "default": "1d",
      "description": "Chart interval"
    },
    "pattern_ids": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "default": [],
      "description": "Pattern ids to filter by. Empty = all patterns. Valid ids: double_top, double_bottom, triple_top, triple_bottom, head_shoulders, inv_head_shoulders, round_bottom, cup_handle, asc_triangle, desc_triangle, sym_triangle, channel_up, channel_down, rectangle, flag, wedge_rising, wedge_falling, abcd, gartley, bat, butterfly, crab, impulse_wave, corrective_wave"
    },
    "screener_slugs": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 24,
      "minItems": 1,
      "description": "Screener slugs to search within"
    }
  },
  "additionalProperties": false
}
    arguments 43 lines
  • get_options_flow_sentiment auth-required never probed

    Return daily options market sentiment — one row per trading day. Combines NYSE/NASDAQ market breadth (advance/decline + new highs/lows) with the market-wide call/put ratio. Each row includes market_breadth_score (0-100), market_call_put_ratio, the daily filter context (bullish_only/bearish_only/mixed), bullish_count/bearish_count of signals that day, plus a derived sentiment_score (0-100) and sentiment_label (bullish/neutral/bearish). Use when the user asks 'what's market sentiment today', 'how bullish is the market', 'show me sentiment over the last week'. If date_from/date_to omitted, returns last 60 days. Returns { dateFrom, dateTo, count, data: [...] }. Tier: Pro only.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "date_to": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "description": "End date (YYYY-MM-DD)"
    },
    "date_from": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "description": "Start date (YYYY-MM-DD)"
    }
  },
  "additionalProperties": false
}
    arguments 17 lines
  • get_stock_report auth-required never probed

    Return a comprehensive report on a single stock in one call — metadata, screener appearances, chart patterns, options flow, signal status, price summary, and upcoming earnings. THIS IS THE PREFERRED FIRST TOOL when a user asks about a single stock. It replaces 5-7 separate tool calls (get_stock_info + get_chart_patterns + get_options_flow_timeline + get_options_flow_ranked + screener lookups + get_candles). Do NOT also call the primitives after calling this — the composite already has everything. Parallel fetch under the hood, graceful partial failures (if one source errors, that section returns null with a note). Returns { symbol, info, screeners, patterns, options_flow, signal, candle_summary, upcoming_earnings, overall_bias }. overall_bias is a heuristic hint, not financial advice.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "symbol"
  ],
  "properties": {
    "symbol": {
      "type": "string",
      "pattern": "^[A-Z0-9.^=\\-]{1,20}$",
      "description": "Stock ticker, e.g. AAPL"
    },
    "interval": {
      "enum": [
        "1d",
        "1wk"
      ],
      "type": "string",
      "default": "1d",
      "description": "Pattern detection interval"
    }
  },
  "additionalProperties": false
}
    arguments 24 lines
  • get_market_momentum auth-required 3h ago

    Return NYSE and NASDAQ market breadth data — advancing/declining issues, new highs/lows, percent advancing. Use when the user asks 'how's the market today' or 'is breadth strong'. Default (no params): last 7 trading days. Returns { dates, count, data: [{exchange, advancing_issues, declining_issues, new_highs, new_lows, percent_advancing_issues, data_date}] }. Two rows per date (NYSE + NASDAQ). Tier: Basic+.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "date": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "description": "Single day (YYYY-MM-DD)"
    },
    "date_to": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "description": "Range end"
    },
    "date_from": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "description": "Range start"
    }
  },
  "additionalProperties": false
}
    arguments 22 lines
  • get_options_flow_overview auth-required 3h ago

    Return the daily options flow table for one trading day — aggregated call/put volume, premium, implied volatility, and consecutive-day streaks for every notable symbol. Use when the user asks 'what's the options flow today' or 'show me the top premium plays'. Each row includes call_put_volume_ratio (bullish if > 1.0), consecutive_days (streak length), total_premium (dollar size), call_avg_iv/put_avg_iv. Returns { date, sort, limit, data: [...], stats, dates }. Tier: Pro only — Basic users get 403.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "date": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "description": "Trading day (YYYY-MM-DD). Default = latest available day."
    },
    "sort": {
      "enum": [
        "streak",
        "volume",
        "callput",
        "premium"
      ],
      "type": "string",
      "default": "streak",
      "description": "Sort order: streak=longest streaks first, volume=highest volume, callput=most extreme C/P, premium=biggest dollar"
    },
    "limit": {
      "type": "integer",
      "default": 100,
      "maximum": 500,
      "minimum": 1,
      "description": "Rows to return (max 500)"
    }
  },
  "additionalProperties": false
}
    arguments 30 lines
  • get_options_flow_ranked auth-required 3h ago

    Return ranked options flow entries for a date range — the entries that stand out by long consecutive-day streaks, large premium, and screener confluence. Each entry includes data-only performance tracking measured from a realistic entry reference: entry_price = open of the trading day AFTER signal_date (the close of signal_date is unreachable for live trading). max_gain_pct/max_drawdown_pct/price_change_pct are computed against entry_price; if that day's US open hasn't happened yet, these fields and entry_price are null ('pending'). This is descriptive market data for your own research, not a recommendation. If date_from/date_to omitted, returns last 60 days. Returns { count, signals: [...] }. Tier: Pro only.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "limit": {
      "type": "integer",
      "default": 500,
      "maximum": 2000,
      "minimum": 1,
      "description": "Max signals returned (default 500)"
    },
    "date_to": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "description": "End date (YYYY-MM-DD)"
    },
    "date_from": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "description": "Start date (YYYY-MM-DD)"
    }
  },
  "additionalProperties": false
}
    arguments 24 lines
  • search_stocks_in_screeners auth-required never probed

    Find stocks that appear in multiple screeners simultaneously. Powerful for high-confidence picks where the user wants confluence across strategies. Use when the user asks 'which stocks are in both X and Y' or 'find stocks in 3+ bullish screeners'. Returns { screeners_queried, mode, count, symbols: [{symbol, screeners, match_count}] }. Intersection mode returns only stocks in ALL listed screeners; union returns stocks in ANY.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "screener_slugs"
  ],
  "properties": {
    "mode": {
      "enum": [
        "intersection",
        "union"
      ],
      "type": "string",
      "default": "intersection",
      "description": "intersection = stocks in ALL screeners; union = stocks in ANY screener"
    },
    "limit": {
      "type": "integer",
      "default": 50,
      "maximum": 500,
      "minimum": 1
    },
    "screener_slugs": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 24,
      "minItems": 1,
      "description": "List of screener slugs to query (1-24)"
    }
  },
  "additionalProperties": false
}
    arguments 34 lines
  • get_chart_patterns auth-required never probed

    Return all chart patterns currently detected for a single stock symbol. Detectable pattern ids: double_top, double_bottom, triple_top, triple_bottom, head_shoulders, inv_head_shoulders, round_bottom, cup_handle, asc_triangle, desc_triangle, sym_triangle, channel_up, channel_down, rectangle, flag, wedge_rising, wedge_falling, abcd, gartley, bat, butterfly, crab, impulse_wave, corrective_wave. Use when the user asks 'what patterns does X have' or 'is X forming a head and shoulders'. Requires a Basic or Pro API key. Returns { symbol, interval, computedAt, candleCount, patterns: [...] }. Empty patterns array if none detected.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "symbol"
  ],
  "properties": {
    "symbol": {
      "type": "string",
      "pattern": "^[A-Z0-9.^=\\-]{1,20}$",
      "description": "Stock ticker, e.g. AAPL, TSLA, MSFT"
    },
    "interval": {
      "enum": [
        "1d",
        "1wk"
      ],
      "type": "string",
      "default": "1d",
      "description": "Chart interval"
    }
  },
  "additionalProperties": false
}
    arguments 24 lines
  • get_options_flow_timeline auth-required never probed

    Return the historical options flow for a single stock — most recent days first. Use when the user asks 'show me X's options flow history' or 'how long has X been bullish'. Returns { symbol, limit, count, data: [daily rows, newest first] }. Tier: Pro only.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "symbol"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "default": 60,
      "maximum": 365,
      "minimum": 1,
      "description": "Days of history (max 365)"
    },
    "symbol": {
      "type": "string",
      "pattern": "^[A-Z0-9.^=\\-]{1,20}$",
      "description": "Stock ticker"
    }
  },
  "additionalProperties": false
}
    arguments 22 lines
  • get_unusual_options_activity auth-required never probed

    Return individual options contracts flagged as unusual (Vol/OI > 1.5). Each row is one contract, not one stock. Use when the user wants contract-level detail. Filter by symbol, side (call/put/both), minimum vol/oi, minimum premium, or max days to expiration. For aggregated stock-level flow use get_options_flow_overview instead. Returns { date, count, contracts: [...] }.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "side": {
      "enum": [
        "call",
        "put",
        "both"
      ],
      "type": "string",
      "default": "both"
    },
    "limit": {
      "type": "integer",
      "default": 300,
      "maximum": 1000,
      "minimum": 1
    },
    "symbol": {
      "type": "string",
      "pattern": "^[A-Z0-9.^=\\-]{1,20}$",
      "description": "Filter to one symbol"
    },
    "max_dte": {
      "type": "integer",
      "maximum": 9007199254740991,
      "minimum": 0
    },
    "min_vol_oi": {
      "type": "number",
      "default": 1.5,
      "minimum": 0
    },
    "min_premium_usd": {
      "type": "number",
      "default": 25000,
      "minimum": 0
    }
  },
  "additionalProperties": false
}
    arguments 42 lines
  • search_stocks auth-required never probed

    Search for stocks by ticker prefix or company name. THE tool to use when the ticker is unknown ('what's the symbol for Palantir?') or ambiguous — resolve the name to a symbol here, then use get_stock_info / get_stock_report with the symbol. No API key required. Returns { query, count, data: [{symbol, name}] } ordered by best match.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "query"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "default": 10,
      "maximum": 50,
      "minimum": 1,
      "description": "Max results (default 10)"
    },
    "query": {
      "type": "string",
      "maxLength": 60,
      "minLength": 1,
      "description": "Symbol prefix or part of the company name, e.g. 'Apple' or 'NVD'"
    }
  },
  "additionalProperties": false
}
    arguments 23 lines
  • search_setups auth-required never probed

    Find the strongest trading setups today by combining options flow signals and screener confluence into a ranked list. Use when the user asks 'what should I trade today', 'best setups', 'top bullish plays'. Returns a ranked list with a composite score (signal strength + screener confluence + streak length). Present the top 3-5 to the user with narrative context, don't dump the raw JSON. Use get_stock_report if the user wants to dig deeper into any specific result. Returns { side, date, count, setups: [{symbol, score, signal, screeners_hit, ...}] }.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "side": {
      "enum": [
        "bullish",
        "bearish"
      ],
      "type": "string",
      "default": "bullish",
      "description": "Side of setups to return"
    },
    "limit": {
      "type": "integer",
      "default": 20,
      "maximum": 100,
      "minimum": 1,
      "description": "Max setups to return"
    }
  },
  "additionalProperties": false
}
    arguments 23 lines
  • get_trends auth-required never probed

    Return AI-detected trending topics in tech & science, patents, or funding events. Use when the user asks 'what's trending in tech' or 'show me patent trends'. Returns { category, count, trends: [{date, topic, weight}] } where weight is 0-1. Tier: Pro only.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "date": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "description": "Exact date lookup"
    },
    "days": {
      "type": "integer",
      "default": 10,
      "maximum": 180,
      "minimum": 1,
      "description": "Lookback window"
    },
    "latest": {
      "type": "boolean",
      "default": false,
      "description": "If true, only return most recent day"
    },
    "category": {
      "enum": [
        "techscience",
        "patents",
        "fundingevents"
      ],
      "type": "string",
      "default": "techscience",
      "description": "Trend category"
    }
  },
  "additionalProperties": false
}
    arguments 34 lines
  • get_trend_connections auth-required never probed

    Return AI-computed connections between trending topics across categories (tech → patents, tech → funding, etc). Useful for spotting meta-trends. Use when the user asks 'what trends are connected' or 'show me cross-category signals'. Returns { count, connections: [{source_category, source_topic, target_category, target_topic, strength, rationale}] }. Tier: Pro only.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "date": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$"
    },
    "days": {
      "type": "integer",
      "default": 14,
      "maximum": 90,
      "minimum": 1
    },
    "limit": {
      "type": "integer",
      "default": 200,
      "maximum": 1000,
      "minimum": 1,
      "description": "Max connections returned (default 200)"
    },
    "latest": {
      "type": "boolean",
      "default": false
    }
  },
  "additionalProperties": false
}
    arguments 28 lines
  • explain_concept auth-required never probed

    Return a plain-language explanation of a platform-specific term, metric, or screener. Use ONLY for terms that are specific to StockMarketScan (e.g. 'strength_score' which is our internal scoring, or 'hot_prospects' which is our curated screener). Do NOT use for generic finance terms the model already knows — answer those directly. Returns { term, title, explanation, interpretation, related_terms }.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "term"
  ],
  "properties": {
    "term": {
      "type": "string",
      "minLength": 1,
      "description": "Term to explain, e.g. 'call_put_ratio', 'golden_cross', 'consecutive_days', 'strength_score', 'vol_oi_ratio', 'streak'"
    }
  },
  "additionalProperties": false
}
    arguments 15 lines
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_ how we know
card completeness
100%

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spec deviations
0

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_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

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0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.