uniswap-poolspy-mcp
Uniswap PoolSpy MCP 服务器
MCP 服务器可跟踪 Uniswap 上九个区块链网络(以太坊、Base、Optimism、Arbitrum、Polygon、BNB 智能链 (BSC)、Avalanche、Celo 和 Blast)中新创建的流动性池,为 DeFi 分析师、交易员和开发人员提供实时数据。
特征
监控 9 个区块链网络中的 Uniswap V3 池创建。
可定制查询新池的时间范围和结果限制。
支持按时间戳、交易数量、交易量或 TVL 排序。
Related MCP server: uniswap-trader-mcp
先决条件
Python 3.10 或更高版本
uv用于包管理
MCP 兼容环境(例如 Claude Desktop)可实现全部功能
安装
克隆存储库:
git clone https://github.com/yourusername/uniswap-poolspy-mcp.git cd uniswap-poolspy-mcp设置环境:如果尚未安装
uv,请安装:curl -LsSf https://astral.sh/uv/install.sh | sh安装依赖项:使用
uv从pyproject.toml同步依赖项:uv sync配置 API 密钥:在项目根目录中创建一个
.env文件:echo "THEGRAPH_API_KEY=your-api-key-here" > .env将
your-api-key-here替换为您实际的 The Graph API 密钥。
用法
运行服务器
启动 MCP 服务器:
uv run main.py使用 MCP Inspector 进行开发:
uv run mcp dev main.py与 Claude Desktop 集成
将服务器安装为 MCP 插件:
uv run mcp install main.py --name "UniswapPoolSpy"配置
为了使 MCP 客户端(例如 Claude Desktop)可以发现服务器,请在mcpServers文件中对其进行配置:
{
"mcpServers": {
"Uniswap-PoolSpy": {
"command": "uv",
"args": ["--directory", "path/to/uniswap-poolspy-mcp", "run", "main.py"],
"env": {
"THEGRAPH_API_KEY": "your api key from The Graph"
}
}
}
}查询新池
使用 Claude Desktop 中的get_new_pools工具进行自然语言查询,例如:
“显示过去 10 分钟内以太坊上的新矿池”
“按容量排序列出基地上的池,限制为 50 个”
“过去一小时内,Polygon 上创建了哪些矿池,按 TVL 排序?”
该工具接受以下参数:
chain:区块链网络(例如“以太坊”、“基础”、“乐观”)order_by:排序字段(“timestamp”,“txcount”,“volume”,“tvl”)time_range_seconds:回顾期(以秒为单位)(默认值:300)limit:返回的最大池数(默认值:100)
示例输出
Newly Created Trading Pools (Last 5 Minutes, Limit: 100):
Pool Address: 0x1234...abcd
Tokens: WETH/USDC
Created At: 2025-03-18 12:34:56
Block Number: 12345678
Transaction Count: 5
Volume (USD): 15000.25
Total Value Locked (USD): 50000.75
Pool Address: 0x5678...efgh
Tokens: DAI/USDT
Created At: 2025-03-18 12:33:45
Block Number: 12345670
Transaction Count: 3
Volume (USD): 8000.50
Total Value Locked (USD): 25000.00支持的链
以太坊
根据
乐观
仲裁
多边形
BNB智能链(BSC)
雪崩
塞洛
爆炸
执照
该项目根据 MIT 许可证获得许可 - 有关详细信息,请参阅LICENSE文件。
Available Tools
1 toolget_new_poolsB
Returns a list of trading pools created in the specified time range on Uniswap V3.
Parameters: chain (str): The blockchain on which Uniswap is deployed. Default is 'ethereum'. Supported options include: 'ethereum', 'base', 'optimism', 'arbitrum', 'polygon', 'bsc', 'avalanche', 'celo' and 'blast'. order_by (str): The field to sort data in descending order before returning to the user. Default is 'timestamp'. Supported options include: - timestamp: Sort by Timestamp - txcount: Sort by Transaction Count - tvl: Sort by Total Value Locked - volume: Sort by Volume 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 |
|---|---|---|---|
| chain | No | ethereum | |
| limit | No | ||
| order_by | No | timestamp | |
| time_range_seconds | 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 of behavioral disclosure. It describes a read-only operation ('returns a list') but lacks details on permissions, rate limits, error handling, or response format. For a tool with 4 parameters and no annotation coverage, this leaves significant behavioral gaps, though it minimally indicates a safe 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 well-structured and appropriately sized, with a clear purpose statement followed by a parameter breakdown. Each sentence adds value, and there is no redundant information. However, it could be slightly more front-loaded with key usage notes, preventing a perfect score.
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 4 parameters, no annotations, and no output schema, the description is moderately complete. It covers parameter semantics thoroughly but lacks behavioral context (e.g., response format, error cases) and usage guidelines. For a read-only tool with moderate complexity, this is adequate but has clear gaps, aligning with a minimum viable 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?
With 0% schema description coverage, the description fully compensates by detailing all 4 parameters: 'chain', 'order_by', 'time_range_seconds', and 'limit'. It provides clear semantics, default values, supported options for 'chain' and 'order_by', and explanations of each parameter's role, adding substantial value beyond the bare schema.
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 tool's purpose: 'Returns a list of trading pools created in the specified time range on Uniswap V3.' It specifies the verb ('returns'), resource ('trading pools'), and scope ('created in the specified time range on Uniswap V3'). However, with no sibling tools mentioned, it cannot demonstrate differentiation from alternatives, preventing a score of 5.
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, prerequisites, or exclusions. It only lists parameters without contextual usage advice. While no sibling tools are specified, the description still lacks general usage context, such as typical scenarios or limitations.
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. Dates show when Glama detected each change.
1 tool update
v1.0.0- First observed
get_new_pools
TDQS
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool 'get_new_pools' has a single, clearly defined purpose: retrieving newly created Uniswap V3 pools within a specified time range.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'get_new_pools' follows a clear verb_noun pattern (get + new_pools), which would be consistent if more tools were added.
A single tool is too few for a server named 'uniswap-poolspy-mcp', which suggests broader monitoring or analysis of Uniswap pools. This minimal toolset limits functionality to only retrieving new pools, lacking operations like querying existing pools, analyzing pool metrics, or tracking pool changes over time.
The tool surface is severely incomplete for the implied domain of Uniswap pool monitoring. While 'get_new_pools' covers discovery of new pools, there are significant gaps: no tools for getting pool details, tracking liquidity or volume trends, analyzing historical data, or performing CRUD-like operations on pool information, which agents would need for comprehensive analysis.
Maintenance
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