Skip to main content
Glama
InhiblabCore

mcp-image-compression

by InhiblabCore

mcp-이미지 압축

프로젝트 개요

mcp-image-compression은 MCP(Modal Context Protocol) 아키텍처 기반의 고성능 이미지 압축 마이크로서비스입니다. 이 서비스는 개발자가 웹사이트 및 애플리케이션의 이미지 리소스를 최적화하고 로딩 속도와 사용자 경험을 향상시킬 수 있도록 빠르고 고품질의 이미지 압축 기능을 제공하는 데 중점을 두고 있습니다.

Related MCP server: imagic-mcp

특징

  • 다양한 포맷 지원 : JPEG, PNG, WebP, AVIF 등 주요 이미지 포맷을 압축합니다.

  • 오프라인 사용 : 인터넷에 연결할 필요 없이 사용 가능

  • 스마트 압축 : 이미지 콘텐츠에 따라 최적의 압축 매개변수를 자동으로 선택합니다.

  • 일괄 처리 : 효율성 향상을 위해 여러 이미지의 병렬 압축을 지원합니다.

  • 품질 관리 : 파일 크기와 시각적 품질의 균형을 맞추기 위해 사용자 정의 가능한 압축 품질

도구

  1. image_compression

    • 이미지 압축

    • 입력:

      • urls (문자열): 압축할 이미지의 URL

      • quality (int): 압축 품질(0-100)

      • format (문자열): 압축된 이미지 형식(예: "jpeg", "png", "webp", "avif")

    • 반환: 압축된 이미지 URL

설정

엔피엑스

지엑스피1

짓다

docker build -t mcp-image-compression .

특허

이 MCP 서버는 MIT 라이선스에 따라 라이선스가 부여됩니다. 즉, MIT 라이선스의 약관에 따라 소프트웨어를 자유롭게 사용, 수정 및 배포할 수 있습니다. 자세한 내용은 프로젝트 저장소의 LICENSE 파일을 참조하세요.

Available Tools

1 tool
image_compressionC

Compress an image

ParametersJSON Schema
NameRequiredDescriptionDefault
urlsYesURL of the image to compress,If it's a local file, do not add any prefix. array join by ','
quantityNoNumber of transcripts to return
formatNoImage format

TDQS

C2.3/5.0
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden to disclose behavioral traits. It says nothing about whether the compression modifies the original, what is returned, rate limits, or supported size limits. The agent has no clue about side effects or constraints.

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

Conciseness3/5

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

The description is extremely short (one phrase), which makes it concise, but it is under-specified. It achieves conciseness at the expense of critical information, so it does not earn its place fully. A balanced description would be more effective.

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

Completeness1/5

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

Given the complexity of image compression and the lack of an output schema or annotations, the description is grossly incomplete. It omits information about output format, error handling, supported input types, and the meaning of the 'quantity' parameter. An agent cannot reliably use this tool without further clarification.

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?

Schema coverage is 100% but the description adds no meaning beyond the schema. Moreover, the 'quantity' parameter's description ('Number of transcripts to return') is confusingly unrelated to image compression, and the description does nothing to clarify this mismatch. Baseline 3 is reduced because the description fails to add value or resolve ambiguity.

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 states the verb 'Compress' and the resource 'an image', which is clear and specific. It is not a tautology and distinguishes the tool's core action. However, it lacks details on supported formats or output behavior, so not a 5.

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?

No guidance is provided on when to use this tool, prerequisites, or alternatives. The description simply states what it does without any context for appropriate usage scenarios.

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. 1 tool updatev1.0.0
    • First observedimage_compression

TDQS

C2.8/5.0
Disambiguation5/5

Only one tool exists, so there is no ambiguity with other tools.

Naming Consistency5/5

With a single tool, naming consistency is not applicable; the name is clear and follows a verb_noun pattern.

Tool Count4/5

One tool for image compression is slightly below the typical range but reasonable given the narrow focus.

Completeness2/5

The single tool only compresses images without apparent options for quality, dimensions, or format conversion, leaving many image operations uncovered.

Maintenance

ActivityInactive
ResponsivenessSyncing

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Connectors

Related MCP Servers

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/InhiblabCore/mcp-image-compression'

If you have feedback or need assistance with the MCP directory API, please join our Discord server