Servidor MCP de StockMarketScan

• Nombre en el registrocom.stockmarketscan/mcp-serververificado en el registro MCP

El nombre en el registro está bajo stockmarketscan.com. El registro solo permite usar ese espacio de nombres a quien demuestra control del dominio por DNS o HTTP.

• Estadorespondecomprobado el 2026-10-21
• Herramientas20
• El servidor se llamastockmarketscan
• Versión del servidor1.0.2
• Versión del protocolo2025-06-18

El 2026-10-21 el servidor respondió a initialize y tools/list sin iniciar sesión. Primera respuesta en 264 ms.

• Aún no se ha juzgado si sus herramientas hacen el trabajo del producto.
• Comprobado 6 de los 7 días necesarios para juzgar su fiabilidad.

Lo dicen reglas a partir de las mediciones de arriba. La primera llamada probable la elige un modelo de la lista de herramientas; lee su descripción antes de fiarte.

• Nota INITE MCPtras una semanala nota necesita 7 comprobaciones diarias: 6 hasta ahora
• Uso1 estrellas en GitHub
• Respondiómidiendo6 de las 7 comprobaciones diarias necesarias para mostrar el porcentaje
• Mediana de la primera respuesta306 ms
• Espacio en el contexto del agente≈ 5033 tokenslas definiciones de todas sus herramientas (20), que el agente lleva en cada turno
• Definiciones de herramientasA · 98 de 100
• Resultados tipados0 de 20 herramientasdeclaran outputSchema: el resultado llega tipado y se lee de una vez

• Parámetros sin descripción: en 3 de 20

Un programa comprueba el servidor una vez al día: initialize y tools/list, sin modelo. Los tokens son la longitud de las definiciones, a unos cuatro caracteres por token. La nota promedia seis comprobaciones del nombre, la descripción, el esquema y las anotaciones de cada herramienta; dice lo bien descritas que están, no si funcionan. La nota pondera solo lo medido: si responde (30%), si hace el trabajo del producto (25%), definiciones (20%), contexto (10%) y uso (15%). Lo que no se midió queda fuera, y una instrucción oculta limita la nota a 40. El estado de los servidores MCP de los proveedores: método y números →

• ping

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

• list_screeners

  Return metadata for all 24 stock screeners on the platform: slug, name, description, category, tier, whether the caller can read it, and its row fields with their JSON value types. Use this to discover which screeners are available before…

• get_screener_data

  Return the rows of a single stock screener for its latest snapshot. 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…

• search_stocks_in_screeners

  Find stocks that appear in multiple screeners simultaneously. Useful for finding overlap across screeners. Use when the user asks 'which stocks are in both X and Y' or 'find stocks in 3+ bullish screeners'. Returns { screeners_queried…

• get_chart_patterns

  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…

• search_patterns

  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…

• get_options_flow_overview

  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…

• get_options_flow_timeline

  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 { data: [daily rows, newest first], meta: { as_of…

• get_options_flow_ranked

  Return ranked options flow records for a date range: the records that stand out by long consecutive-day streaks, large premium, and screener confluence. Each record includes data-only performance tracking measured from a realistic entry…

• get_options_flow_sentiment

  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)…

• get_unusual_options_activity

  Return individual options contracts flagged as unusual activity (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…

• get_stock_info

  Return basic metadata for a stock: full company name, exchange, industry, last price, and daily percent change. Use this when you first encounter a symbol and need to identify it. Lighter than get_stock_report (composite) or get_candles…

• get_candles

  Return OHLCV price candles for a single stock, oldest first. Use when you need price history to compute indicators or answer 'how much is X up this month'. date is the trading day (YYYY-MM-DD; weekly candles use the Monday). Default range…

• search_stocks

  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…

• get_stock_report

  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…

• search_setups

  List today's options flow records for one side (bullish or bearish), ranked by a descriptive composite score (strength score + consecutive-day streak + premium size). Use when the user asks which symbols had the most notable options flow…

• get_market_momentum

  Return NYSE and NASDAQ market breadth: advancing/declining/unchanged issues, their percentages, and new highs/lows. Use when the user asks 'how's the market today' or 'is breadth strong'. Default (no params): last 7 trading days. Send…

• get_trends

  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'. Use one of latest, date, or days. Returns { data: [{ date, topic, weight }]…

• get_trend_connections

  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'. Use…

• explain_concept

  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…