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aixi134

mcp-meituan-ip

by aixi134

mcp-meituan-ip MCP 서버

구성 요소

자원

서버는 다음을 사용하여 간단한 메모 저장 시스템을 구현합니다.

  • 개별 노트에 액세스하기 위한 사용자 지정 노트:// URI 체계

  • 각 노트 리소스에는 이름, 설명 및 텍스트/일반 MIME 유형이 있습니다.

프롬프트

서버는 단일 프롬프트를 제공합니다.

  • summarize-notes: 저장된 모든 노트의 요약을 생성합니다.

    • 세부 수준(간략/상세)을 제어하기 위한 선택적 "스타일" 인수

    • 현재 모든 노트와 스타일 선호도를 결합하여 프롬프트를 생성합니다.

도구

서버는 하나의 도구를 구현합니다.

  • add-note: 서버에 새 메모를 추가합니다.

    • 필수 문자열 인수로 "name"과 "content"를 사용합니다.

    • 서버 상태를 업데이트하고 클라이언트에게 리소스 변경 사항을 알립니다.

Related MCP server: browser-use MCP server

구성

[TODO: 구현에 맞는 구성 세부 정보 추가]

빠른 시작

설치하다

클로드 데스크탑

MacOS의 경우: ~/Library/Application\ Support/Claude/claude_desktop_config.json Windows의 경우: %APPDATA%/Claude/claude_desktop_config.json

개발

건축 및 출판

배포를 위해 패키지를 준비하려면:

  1. 종속성 동기화 및 잠금 파일 업데이트:

지엑스피1

  1. 패키지 배포 빌드:

uv build

이렇게 하면 dist/ 디렉토리에 소스와 휠 배포판이 생성됩니다.

  1. PyPI에 게시:

uv publish

참고: 환경 변수나 명령 플래그를 통해 PyPI 자격 증명을 설정해야 합니다.

  • 토큰: --token 또는 UV_PUBLISH_TOKEN

  • 또는 사용자 이름/비밀번호: --username / UV_PUBLISH_USERNAME 및 --password / UV_PUBLISH_PASSWORD

디버깅

MCP 서버는 stdio를 통해 실행되므로 디버깅이 어려울 수 있습니다. 최상의 디버깅 환경을 위해서는 MCP Inspector 사용을 강력히 권장합니다.

다음 명령을 사용하여 npm 통해 MCP Inspector를 시작할 수 있습니다.

npx @modelcontextprotocol/inspector uv --directory D:\idea-work\mcp-meituan-ip run mcp-meituan-ip

Inspector를 실행하면 브라우저에서 접근하여 디버깅을 시작할 수 있는 URL이 표시됩니다.

Available Tools

2 tools
get-ip-locC

获取指定ip的大致位置与经纬度信息

ParametersJSON Schema
NameRequiredDescriptionDefault
ipYes

TDQS

C2.9/5.0
Behavior2/5

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 states what the tool does (get location info for an IP) but lacks details on behavioral traits such as rate limits, error handling, data sources, accuracy levels, or authentication needs. For a tool with no annotations, this leaves significant gaps in understanding how it operates.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence in Chinese: '获取指定ip的大致位置与经纬度信息'. It is front-loaded with the core action and resource, with zero wasted words. Every part of the sentence directly contributes to understanding the tool's function.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (a lookup tool with no annotations, 1 parameter, and no output schema), the description is incomplete. It explains the basic purpose but lacks crucial context such as return format, error cases, limitations (e.g., '大致' - approximate implies inaccuracy), or how results are structured. Without an output schema, the description should ideally cover return values, which it does not.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 1 parameter ('ip') with 0% description coverage, meaning the schema provides no semantic details. The description adds value by specifying that the IP is '指定' (specified), implying it's a required input for lookup. However, it doesn't elaborate on format (e.g., IPv4 vs. IPv6), validation, or examples. With low schema coverage, the description compensates minimally but not fully.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: '获取指定ip的大致位置与经纬度信息' (Get the approximate location and latitude/longitude information for a specified IP). It uses specific verbs ('获取' - get) and resources ('ip', '位置', '经纬度'), making the function unambiguous. However, it doesn't explicitly differentiate from the sibling tool 'get-latlng', which might have overlapping functionality.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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 like the sibling 'get-latlng'. It doesn't mention any prerequisites, constraints, or scenarios where this tool is preferred or should be avoided. Usage is implied from the purpose but not explicitly stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get-latlngC

根据经纬度获取详细位置信息

ParametersJSON Schema
NameRequiredDescriptionDefault
latYes
lngYes

TDQS

C2.8/5.0
Behavior2/5

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 states the tool retrieves '详细位置信息' (detailed location information), implying a read-only operation, but doesn't specify what 'detailed' includes (e.g., address, city, country), whether there are rate limits, authentication needs, error handling, or data freshness. For a tool with zero annotation coverage, this leaves significant gaps in understanding its behavior and constraints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence: '根据经纬度获取详细位置信息'. It's front-loaded with the core purpose, has zero redundant words, and appropriately sized for a simple tool. Every part of the sentence contributes directly to understanding the tool's function.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (2 parameters, no output schema, no annotations), the description is incomplete. It lacks details on return values (what 'detailed location information' entails), error cases, usage boundaries compared to siblings, and parameter specifics. Without annotations or output schema, the description should provide more context to enable correct tool invocation and result interpretation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 2 parameters (lat, lng) with 0% description coverage, meaning the schema provides no semantic context. The description mentions '经纬度' (latitude and longitude), which maps to the parameters, but adds minimal value beyond naming them. It doesn't explain format (e.g., decimal degrees, strings), units, range, or examples, failing to compensate for the low schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: '根据经纬度获取详细位置信息' (Get detailed location information based on latitude and longitude). It specifies the verb '获取' (get) and resource '详细位置信息' (detailed location information), making the action and target explicit. However, it doesn't differentiate from the sibling tool 'get-ip-loc', which appears to serve a similar purpose but uses IP instead of coordinates.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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. It doesn't mention the sibling tool 'get-ip-loc' or explain scenarios where latitude/longitude input is preferred over IP-based location lookup. There's no context about prerequisites, exclusions, or comparative use cases, leaving the agent to infer usage based on parameter differences alone.

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. 2 tool updatesv1.0.0
    • First observedget-ip-loc
    • First observedget-latlng

TDQS

B3.2/5.0

Scored across 2 tools

Disambiguation5/5

The two tools have clearly distinct purposes: one maps IP addresses to locations, while the other maps latitude/longitude coordinates to detailed location information. There is no overlap in functionality, making it easy for an agent to choose the correct tool based on the input type.

Naming Consistency5/5

Both tools follow a consistent verb_noun naming pattern with hyphens (get-ip-loc and get-latlng), using the same verb 'get' and descriptive nouns. This predictable structure enhances readability and usability.

Tool Count3/5

With only two tools, the server feels thin for a location/geolocation service, as it lacks operations like reverse geocoding, batch processing, or error handling. While the tools are complementary, the scope is minimal and may limit agent workflows.

Completeness3/5

The server covers basic IP and coordinate lookups but has notable gaps, such as missing reverse geocoding from location to coordinates, validation tools, or support for multiple IPs. This could lead to agent workarounds or failures in more complex scenarios.

Maintenance

ActivityInactive
ResponsivenessNo issues

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