pancakeswap-poolspy-mcp
팬케이크스왑 풀스파이 MCP 서버
Pancake Swap에서 새로 생성된 유동성 풀을 추적하는 MCP 서버로, DeFi 분석가, 트레이더, 개발자에게 실시간 데이터를 제공합니다.
특징
실시간 풀 추적 : 지정된 시간 범위(기본값: 5분) 내에 생성된 풀을 가져옵니다.
사용자 정의 가능한 쿼리 : 시간 범위(초)와 반환되는 풀 수(기본값: 100)를 조정합니다.
자세한 지표 : 풀 주소, 토큰, 생성 타임스탬프, 블록 번호, 거래 수, 거래량(USD), 총 잠금 가치(USD)가 포함됩니다.
Related MCP server: hyperliquid-whalealert-mcp
필수 조건
Python 3.10+ : Python이 시스템에 설치되어 있는지 확인하세요.
Graph API 키 : PancakeSwap 하위 그래프에 액세스하려면 Graph 에서 API 키를 받으세요.
설치
저장소 복제 :
지엑스피1
종속성 설치 : uv를 사용하여 필요한 Python 패키지를 설치합니다.
uv add mcp[cli] httpx dotenv클라이언트 구성
{ "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" } } } }
용법
서버 실행
로컬에서 테스트하려면 개발 모드에서 서버를 실행하세요.
mcp dev main.pyMCP 검사기가 시작되고, 여기서 get_new_pools_bsc 도구와 상호 작용할 수 있습니다.
사용 가능한 도구
get_new_pools_bsc(time_range_seconds: int = 300, limit: int = 100)
BNB Smart Chain에 새로 생성된 PancakeSwap 풀 목록을 가져옵니다.
매개변수 :
time_range_seconds(정수): 새 풀을 다시 검토할 시간 범위(초). 기본값은 300초(5분)입니다.limit(정수): 반환할 최대 풀 수입니다. 기본값은 100개입니다.
반환값 : 쿼리가 실패하면 풀 세부 정보나 오류 메시지를 나열하는 서식이 지정된 문자열입니다.
출력 예시 :
기본값(마지막 5분, 최대 100개 풀):
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): 3456.78사용자 정의(마지막 10분, 최대 50개 풀):
get_new_pools(600, 50)Newly Created Trading Pools (Last 10 Minutes, Limit: 50): [pool details...]
예시 프롬프트 :
"지난 1시간 동안 새로 생성된 PancakeSwap 풀을 나열합니다."
"지난 2분 동안 생성된 PancakeSwap 풀을 표시합니다."
특허
이 프로젝트는 MIT 라이선스에 따라 라이선스가 부여됩니다. 자세한 내용은 라이선스 파일을 참조하세요.
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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