pancakeswap-poolspy-mcp
Servidor MCP de PancakeSwap PoolSpy
Un servidor MCP que rastrea los grupos de liquidez recién creados en Pancake Swap, proporcionando datos en tiempo real para analistas, comerciantes y desarrolladores de DeFi.
Características
Seguimiento de grupos en tiempo real : recupera los grupos creados dentro de un rango de tiempo específico (valor predeterminado: 5 minutos).
Consultas personalizables : ajuste el rango de tiempo (en segundos) y la cantidad de grupos devueltos (valor predeterminado: 100).
Métricas detalladas : incluye dirección de pool, tokens, marca de tiempo de creación, número de bloque, recuento de transacciones, volumen (USD) y valor total bloqueado (USD).
Related MCP server: hyperliquid-whalealert-mcp
Prerrequisitos
Python 3.10+ : asegúrese de que Python esté instalado en su sistema.
Clave API de The Graph : obtenga una clave API de The Graph para acceder al subgráfico PancakeSwap.
Instalación
Clonar el repositorio :
git clone https://github.com/kukapay/pancakeswap-poolspy-mcp.git cd pancakeswap-poolspy-mcpInstalar dependencias : Instale los paquetes de Python necesarios usando uv:
uv add mcp[cli] httpx dotenvConfiguración del cliente
{ "mcpServers": { "PancakeSwap-PoolSpy": { "command": "uv", "args": ["--directory", "path/to/pancakeswap-poolspy-mcp", "run", "main.py"], "env": { "THEGRAPH_API_KEY": "your api key from The Graph" } } } }
Uso
Ejecución del servidor
Ejecute el servidor en modo de desarrollo para probarlo localmente:
mcp dev main.pyEsto inicia el Inspector MCP, donde puedes interactuar con la herramienta get_new_pools_bsc .
Herramienta disponible
get_new_pools_bsc(time_range_seconds: int = 300, limit: int = 100)
Obtiene una lista de grupos de PancakeSwap recién creados en BNB Smart Chain.
Parámetros :
time_range_seconds(int): Intervalo de tiempo en segundos para buscar nuevos grupos. El valor predeterminado es 300 segundos (5 minutos).limit(int): Número máximo de grupos a devolver. El valor predeterminado es 100 grupos.
Devuelve : una cadena formateada que enumera los detalles del grupo o un mensaje de error si la consulta falla.
Ejemplos de salidas :
Predeterminado (últimos 5 minutos, hasta 100 grupos):
get_new_pools_bsc()Newly Created Trading Pools (Last 5 Minutes, Limit: 100): Pool Address: 0x1234...5678 Tokens: WETH/USDC Created At: 2025-03-16 12:00:00 UTC Block Number: 12345678 Transaction Count: 10 Volume (USD): 1234.56 Total Value Locked (USD): 5678.90 Pool Address: 0x9abc...def0 Tokens: CAKE/BNB Created At: 2025-03-16 12:01:00 UTC Block Number: 12345679 Transaction Count: 5 Volume (USD): 789.12 Total Value Locked (USD): 3456.78Personalizado (últimos 10 minutos, hasta 50 pools):
get_new_pools(600, 50)Newly Created Trading Pools (Last 10 Minutes, Limit: 50): [pool details...]
Ejemplos de indicaciones :
"Enumera los grupos de PancakeSwap recién creados en las últimas 1 hora".
"Mostrar los pools de PancakeSwap creados en los últimos 2 minutos".
Licencia
Este proyecto está licenciado bajo la Licencia MIT. Consulte el archivo de LICENCIA para más detalles.
Available Tools
1 toolget_new_pools_bscA
Returns a list of trading pools created in the specified time range on Pancake Swap V3 BNB Smart Chain.
Parameters: time_range_seconds (int): The time range in seconds to look back for new pools. Default is 300 seconds (5 minutes). limit (int): The maximum number of pools to return. Default is 100 pools.
| Name | Required | Description | Default |
|---|---|---|---|
| time_range_seconds | No | ||
| limit | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It describes the retrieval behavior but lacks details on potential side effects (e.g., rate limits, authentication needs, data freshness, or error handling). While it specifies the scope (new pools in a time range), it does not disclose behavioral traits like pagination, sorting, or what happens if no pools are found, leaving gaps for a read operation.
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 appropriately sized and front-loaded: the first sentence states the core purpose, followed by a structured parameter list with clear explanations and defaults. Every sentence adds value without redundancy, making it efficient and easy to scan.
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 complexity (a read operation with two parameters), no annotations, and no output schema, the description is moderately complete. It covers the purpose and parameters well but lacks details on return values (e.g., pool structure, fields) and behavioral aspects like error handling or performance. This leaves some gaps for an agent to use the tool effectively without additional context.
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?
Schema description coverage is 0%, so the description must compensate. It adds meaningful semantics by explaining that 'time_range_seconds' is 'the time range in seconds to look back for new pools' with a default, and 'limit' is 'the maximum number of pools to return' with a default. This clarifies the purpose and usage of both parameters beyond what the schema provides, though it could include more on constraints (e.g., min/max values).
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 ('Returns a list'), resource ('trading pools'), and scope ('created in the specified time range on Pancake Swap V3 BNB Smart Chain'). It distinguishes this as a retrieval operation for newly created pools with temporal filtering, making the purpose immediately understandable without redundancy.
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 implies usage by specifying the time range for new pools, but it does not provide explicit guidance on when to use this tool versus alternatives (e.g., for historical vs. real-time data, or other filtering criteria). Since no sibling tools are listed, the lack of comparative guidance is less critical, but it still lacks explicit when/when-not directives.
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_new_pools_bsc
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusion or overlap between tools. The tool's purpose is clearly defined and distinct.
A single tool inherently has perfect naming consistency, as there are no other tools to compare against. The name follows a clear verb_noun pattern.
One tool is too few for a server focused on monitoring PancakeSwap pools, as it lacks essential operations like retrieving pool details, tracking updates, or analyzing liquidity. This severely limits functionality.
The tool surface is severely incomplete for monitoring pools; it only fetches new pools without supporting queries for existing pools, pool metadata, or historical data, leaving significant gaps in coverage.
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