crypto-liquidations-mcp
Liquidaciones de criptomonedas MCP
Un servidor MCP que transmite eventos de liquidación de criptomonedas en tiempo real desde Binance, lo que permite a los agentes de IA reaccionar instantáneamente a los movimientos del mercado de alta volatilidad.
Características
Transmisión de liquidación en tiempo real : se conecta a Binance WebSocket para capturar eventos de liquidación.
Almacenamiento de datos de liquidación : mantiene una lista en memoria de hasta 1000 eventos de liquidación, sin almacenamiento persistente.
Herramienta:
get_latest_liquidations:Recupera los últimos eventos de liquidación en una tabla Markdown.
Columnas:
Symbol,Side,Price,Quantity,Time(formato HH:MM:SS).Parámetros:
limit(predeterminado 10).
Mensaje:
analyze_liquidations:Genera un mensaje para analizar las tendencias de liquidación en todos los símbolos, aprovechando la herramienta
get_latest_liquidations.
Related MCP server: binance-alpha-mcp
Prerrequisitos
Python 3.10 : necesario para compatibilidad.
uv : Administrador de paquetes y dependencias (instrucciones de instalación a continuación).
Acceso a Internet : para conectarse a Binance WebSocket.
Instalación
1. Clonar el repositorio
git clone https://github.com/kukapay/crypto-liquidations-mcp.git
cd crypto-liquidations-mcp2. Instalar dependencias
Instalar los paquetes necesarios usando uv :
uv sync3. Integración con un cliente MCP
Configure su cliente MCP para conectarse al servidor. Para Claude Desktop:
{
"mcpServers": {
"crypto-liquidations": {
"command": "uv",
"args": ["--directory", "/path/to/crypto-liquidations-mcp", "run", "main.py"]
}
}
}Uso
Para comenzar, inicie el servidor MCP para empezar a transmitir eventos de liquidación desde Binance. El servidor funciona silenciosamente, recopilando hasta 1000 eventos recientes en memoria sin generar registros ni guardar datos en el disco.
Recuperación de eventos de liquidación
Utilice la herramienta get_latest_liquidations para obtener los eventos de liquidación más recientes. Puede especificar cuántos eventos recuperar (hasta 1000) mediante el parámetro limit . Por ejemplo, podría preguntar:
"Muéstrame los 5 eventos de liquidación más recientes de Binance".
Esto devolverá una tabla con un formato ordenado que muestra el par comercial, el lado de compra o venta, el precio, la cantidad y el momento de cada liquidación en formato HH:MM:SS.
Ejemplo de salida :
| Symbol | Side | Price | Quantity | Time |
|----------|------|--------|----------|----------|
| BTCUSDT | BUY | 50000 | 1.5 | 14:30:45 |
| ETHUSDT | SELL | 3000 | 10.0 | 14:30:40 |
| BNBUSDT | BUY | 500 | 20.0 | 14:30:35 |
| ADAUSDT | SELL | 1.2 | 1000.0 | 14:30:30 |
| XRPUSDT | BUY | 0.8 | 5000.0 | 14:30:25 |Esta tabla permite ver fácilmente la actividad reciente del mercado, como grandes liquidaciones de compra o venta en Binance.
Análisis de las tendencias de liquidación
El mensaje analyze_liquidations le ayuda a profundizar en los datos. Genera instrucciones para analizar las tendencias de liquidación en todos los pares de trading, centrándose en la frecuencia, el volumen y el impacto en el mercado. El mensaje sugiere usar la herramienta get_latest_liquidations para obtener los datos, lo que le garantiza la información más reciente.
Esto es particularmente útil para comprender la dinámica más amplia del mercado, por ejemplo si las liquidaciones están aumentando o indicando movimientos de precios significativos.
Licencia
Este proyecto está licenciado bajo la Licencia MIT. Consulte el archivo de LICENCIA para más detalles.
Available Tools
1 toolget_latest_liquidationsA
Retrieve the latest liquidation events from Binance in a table format.
Args:
limit (int): The maximum number of liquidation events to return (default: 10, max: 1000).
ctx (Context, optional): The MCP context for logging and server interaction. Defaults to None.
Returns:
str: A Markdown table containing the latest liquidation events, sorted by timestamp in descending order.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| ctx | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It does reveal that results are sorted by timestamp in descending order and returned as a Markdown table, which are useful behavioral traits. However, it doesn't mention rate limits, authentication requirements, data freshness, error conditions, or whether this is a read-only operation (though 'retrieve' implies it). The description adds some value but leaves significant behavioral aspects unspecified.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured with clear sections (Args, Returns) and front-loaded the core purpose. Every sentence adds value: the first states what the tool does, followed by parameter explanations and return format. It could be slightly more concise by integrating the default values more seamlessly, but overall it's efficient and well-organized.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's moderate complexity (2 parameters, no output schema, no annotations), the description provides good contextual coverage. It explains the tool's purpose, parameters, and return format clearly. The main gap is the lack of behavioral details like rate limits or authentication, but for a data retrieval tool with well-documented parameters, this is reasonably complete. The absence of an output schema is mitigated by the clear return value description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description provides excellent parameter semantics beyond the input schema. While schema description coverage is 0%, the description clearly explains both parameters: 'limit' with its default (10) and maximum (1000) values, and 'ctx' as optional with its purpose ('MCP context for logging and server interaction'). This fully compensates for the lack of schema descriptions and adds meaningful context about parameter usage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the specific action ('retrieve'), resource ('latest liquidation events from Binance'), and output format ('table format'). It distinguishes itself by specifying the source (Binance) and format (Markdown table), making the purpose unambiguous even without sibling tools for comparison.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. While there are no sibling tools listed, it doesn't mention any prerequisites, constraints, or scenarios where this tool would be appropriate versus other data retrieval methods. The only implicit guidance is the focus on 'latest' events, but no explicit usage context is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
get_latest_liquidations
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined as retrieving liquidation events from Binance, making it distinct by default.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'get_latest_liquidations' follows a clear verb_noun pattern, which would be consistent if more tools were added.
A single tool is too few for a server focused on crypto liquidations, as it severely limits functionality. The scope suggests a need for more operations, such as filtering by asset, time range, or exchange, making this feel incomplete and thin.
The tool surface is significantly incomplete for the domain of crypto liquidations. While it provides a basic retrieval function, there are obvious gaps, such as no ability to filter by parameters like asset type, exchange, or time period, which are essential for practical use.
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