MoveSurge
Market news with the measured price reaction attached to the event that caused it.
¿Debería usar esto?
Calidad y seguridad
A
Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.
Costo de contexto
~1,834Tokens (definiciones de herramientas)
~3.4 KBTamaño de respuesta típico
Impacto moderado en la atención (1.43% del contexto de 128k)
Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.
Instalar
Instalación con un clic
Agrega esto a tu archivo `claude_desktop_config.json`:
{
"mcpServers": {
"movesurge": {
"url": "https://movesurge.com/mcp"
}
}
}Puntos de conexión remotos
https://movesurge.com/mcpstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (5)
🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢search_headlines(query, ticker, hours, limit)
Search the MoveSurge market-news tape and return matching headlines with the measured price reaction attached to each. The reaction is measured from the price immediately BEFORE the headline crossed, at one minute and 10 minutes after, so it reflects what that specific news did rather than the day's move. Use for questions like 'what moved on chip supply news today'.
Esquema de entrada
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Free text to match in the headline."
},
"ticker": {
"type": "string",
"description": "Restrict to a ticker, e.g. NVDA."
},
"hours": {
"type": "integer",
"description": "Look-back window in hours (1-336, default 24)."
},
"limit": {
"type": "integer",
"description": "Max results (1-50, default 20)."
}
}
}Esquema de salida
{
"type": "object",
"properties": {
"window_hours": {
"type": "integer"
},
"count": {
"type": "integer"
},
"headlines": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"published_utc": {
"type": [
"string",
"null"
],
"format": "date-time"
},
"headline": {
"type": "string"
},
"category": {
"type": "string"
},
"impact": {
"type": "string"
},
"tickers": {
"type": "array",
"items": {
"type": "string"
}
},
"why": {
"type": "string"
},
"context": {
"type": "array",
"items": {
"type": "string"
}
},
"market_reaction": {
"type": "object",
"properties": {
"measured_from": {
"type": "string"
},
"instruments": {
"type": "array",
"items": {
"type": "object",
"properties": {
"symbol": {
"type": "string"
},
"label": {
"type": "string",
"description": "Display name of the measured series."
},
"price_before": {
"type": [
"number",
"null"
],
"description": "Price immediately before the headline crossed."
},
"price_1m": {
"type": [
"number",
"null"
]
},
"price_10m": {
"type": [
"number",
"null"
]
},
"move_1m_pct": {
"type": [
"number",
"null"
]
},
"move_10m_pct": {
"type": [
"number",
"null"
],
"description": "Percent move 10 minutes after the headline, measured from price_before."
},
"window_minutes": {
"type": "integer"
},
"volume_ratio_10m": {
"type": [
"number",
"null"
]
},
"volume_quality": {
"type": [
"string",
"null"
]
}
}
}
}
}
}
},
"required": [
"id",
"headline"
]
}
}
},
"required": [
"count",
"headlines"
]
}🟢top_movers(hours, min_move_pct, limit)
The events with the largest MEASURED price reactions in a window, ranked by the size of the move attributed to the event. Answers 'what actually moved and why'. Only returns events where a reaction was successfully measured.
Esquema de entrada
{
"type": "object",
"properties": {
"hours": {
"type": "integer",
"description": "Look-back window in hours (1-336, default 24)."
},
"min_move_pct": {
"type": "number",
"description": "Minimum absolute move percent (default 0.5)."
},
"limit": {
"type": "integer",
"description": "Max results (1-50, default 10)."
}
}
}Esquema de salida
{
"type": "object",
"properties": {
"window_hours": {
"type": "integer"
},
"min_move_pct": {
"type": "number"
},
"count": {
"type": "integer"
},
"movers": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"published_utc": {
"type": [
"string",
"null"
],
"format": "date-time"
},
"headline": {
"type": "string"
},
"category": {
"type": "string"
},
"impact": {
"type": "string"
},
"tickers": {
"type": "array",
"items": {
"type": "string"
}
},
"why": {
"type": "string"
},
"context": {
"type": "array",
"items": {
"type": "string"
}
},
"market_reaction": {
"type": "object",
"properties": {
"measured_from": {
"type": "string"
},
"instruments": {
"type": "array",
"items": {
"type": "object",
"properties": {
"symbol": {
"type": "string"
},
"label": {
"type": "string",
"description": "Display name of the measured series."
},
"price_before": {
"type": [
"number",
"null"
],
"description": "Price immediately before the headline crossed."
},
"price_1m": {
"type": [
"number",
"null"
]
},
"price_10m": {
"type": [
"number",
"null"
]
},
"move_1m_pct": {
"type": [
"number",
"null"
]
},
"move_10m_pct": {
"type": [
"number",
"null"
],
"description": "Percent move 10 minutes after the headline, measured from price_before."
},
"window_minutes": {
"type": "integer"
},
"volume_ratio_10m": {
"type": [
"number",
"null"
]
},
"volume_quality": {
"type": [
"string",
"null"
]
}
}
}
}
}
}
},
"required": [
"id",
"headline"
]
},
"description": "Ranked by the largest absolute measured move, biggest first."
}
},
"required": [
"count",
"movers"
]
}🟢ticker_history(ticker, days, limit)
Recent tape events for one ticker with each event's measured reaction. Use to answer 'what has been driving <ticker> lately'.
Esquema de entrada
{
"type": "object",
"properties": {
"ticker": {
"type": "string",
"description": "Ticker symbol, e.g. WDAY."
},
"days": {
"type": "integer",
"description": "Look-back window in days (1-60, default 7)."
},
"limit": {
"type": "integer",
"description": "Max results (1-50, default 20)."
}
},
"required": [
"ticker"
]
}Esquema de salida
{
"type": "object",
"properties": {
"ticker": {
"type": "string"
},
"window_days": {
"type": "integer"
},
"events": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"published_utc": {
"type": [
"string",
"null"
],
"format": "date-time"
},
"headline": {
"type": "string"
},
"category": {
"type": "string"
},
"impact": {
"type": "string"
},
"tickers": {
"type": "array",
"items": {
"type": "string"
}
},
"why": {
"type": "string"
},
"context": {
"type": "array",
"items": {
"type": "string"
}
},
"market_reaction": {
"type": "object",
"properties": {
"measured_from": {
"type": "string"
},
"instruments": {
"type": "array",
"items": {
"type": "object",
"properties": {
"symbol": {
"type": "string"
},
"label": {
"type": "string",
"description": "Display name of the measured series."
},
"price_before": {
"type": [
"number",
"null"
],
"description": "Price immediately before the headline crossed."
},
"price_1m": {
"type": [
"number",
"null"
]
},
"price_10m": {
"type": [
"number",
"null"
]
},
"move_1m_pct": {
"type": [
"number",
"null"
]
},
"move_10m_pct": {
"type": [
"number",
"null"
],
"description": "Percent move 10 minutes after the headline, measured from price_before."
},
"window_minutes": {
"type": "integer"
},
"volume_ratio_10m": {
"type": [
"number",
"null"
]
},
"volume_quality": {
"type": [
"string",
"null"
]
}
}
}
}
}
}
},
"required": [
"id",
"headline"
]
}
},
"error": {
"type": "string"
}
}
}🟢get_article(slug)
Fetch a MoveSurge explanatory article as Markdown, including its sources and measured reaction table. Call with no slug to list the 25 most recent articles.
Esquema de entrada
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Article slug; omit to list recent articles."
}
}
}Esquema de salida
{
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"title": {
"type": "string"
},
"url": {
"type": "string",
"format": "uri"
},
"markdown": {
"type": "string"
},
"articles": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"title": {
"type": "string"
},
"published": {
"type": [
"string",
"null"
],
"format": "date-time"
}
}
},
"description": "Returned instead of one article when no slug is given."
},
"error": {
"type": "string"
}
}
}🟢coverage_stats
Auditable statistics about what MoveSurge covers and how it measures: date range, total events, how many carry a measured price reaction, distinct tickers, and unbroken months of coverage. Use to judge whether this source is worth citing, or to state its coverage accurately. Figures are computed live, not asserted.
Esquema de entrada
{
"type": "object",
"properties": {}
}Esquema de salida
{
"type": "object",
"properties": {
"earliest_event": {
"type": [
"string",
"null"
],
"format": "date"
},
"latest_event": {
"type": [
"string",
"null"
],
"format": "date"
},
"total_events": {
"type": "integer"
},
"events_with_measured_reaction": {
"type": "integer"
},
"events_last_30d": {
"type": "integer"
},
"measured_reactions_last_30d": {
"type": "integer"
},
"distinct_tickers_last_90d": {
"type": "integer"
},
"continuous_months_of_coverage": {
"type": "integer"
},
"coverage_note": {
"type": "string"
},
"method": {
"type": "string"
}
}
}Comunidad
Evidencia
Observaciones recientes
verificadoversión no registrada5 herramientas
verificadoversión no registrada5 herramientas