pancakeswap-poolspy-mcp
PancakeSwap PoolSpy MCP 服务器
MCP 服务器用于跟踪 Pancake Swap 上新创建的流动性池,为 DeFi 分析师、交易员和开发人员提供实时数据。
特征
实时池跟踪:获取在指定时间范围内创建的池(默认值:5 分钟)。
可定制的查询:调整时间范围(以秒为单位)和返回的池数(默认值:100)。
详细指标:包括池地址、代币、创建时间戳、区块号、交易数量、交易量(美元)和锁定的总价值(美元)。
Related MCP server: hyperliquid-whalealert-mcp
先决条件
Python 3.10+ :确保您的系统上安装了 Python。
The Graph API 密钥:从The Graph获取 API 密钥以访问 PancakeSwap 子图。
安装
克隆存储库:
git clone https://github.com/kukapay/pancakeswap-poolspy-mcp.git cd pancakeswap-poolspy-mcp安装依赖项:使用 uv 安装所需的 Python 包:
uv add mcp[cli] httpx dotenv客户端配置
{ "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" } } } }
用法
运行服务器
以开发模式运行服务器以在本地进行测试:
mcp dev main.py这将启动 MCP Inspector,您可以在其中与get_new_pools_bsc工具进行交互。
可用工具
get_new_pools_bsc(time_range_seconds: int = 300, limit: int = 100)
获取 BNB 智能链上新创建的 PancakeSwap 池列表。
参数:
time_range_seconds(int):查询新池的时间范围(以秒为单位)。默认值为 300 秒(5 分钟)。limit(int):返回的最大池数量。默认值为 100 个池。
返回:列出池详细信息的格式化字符串或查询失败时的错误消息。
示例输出:
默认(最后 5 分钟,最多 100 个池):
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): 3456.78自定义(最后 10 分钟,最多 50 个池):
get_new_pools(600, 50)Newly Created Trading Pools (Last 10 Minutes, Limit: 50): [pool details...]
示例提示:
“列出过去 1 小时内新创建的 PancakeSwap 池。”
“显示过去 2 分钟内创建的 PancakeSwap 池。”
执照
本项目遵循 MIT 许可证。详情请参阅LICENSE文件。
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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