Meme MCP Server
밈 MCP 서버
ImgFlip API를 사용하여 밈을 생성하는 간단한 모델 컨텍스트 프로토콜(MCP) 서버입니다. 이 서버를 통해 AI 모델과 도구는 사용자 입력을 기반으로 밈 이미지를 생성할 수 있습니다.
도구
서버는 generateMeme 이라는 단일 도구를 구현합니다.
이 도구는 다음과 같은 매개변수를 허용합니다.
templateNumericId: 사용할 밈 템플릿의 숫자 ID입니다.text0: 첫 번째 자리 표시자의 텍스트입니다.text1: 두 번째 자리 표시자의 텍스트입니다.
Related MCP server: MCP TemplateIO
용법
meme-mcp NPM 패키지를 사용하여 클라이언트에서 밈 생성기 서버를 구성할 수 있습니다. 다음은 Claude Desktop의 구성 예시입니다(설정 -> 개발자 -> 구성 편집).
지엑스피1
참고: 사용자 이름과 비밀번호를 얻으려면 ImgFlip 에서 무료 계정을 만들어야 합니다.
문제 해결
Claude Desktop이 올바른 npx 버전을 찾지 못하는 경우가 있습니다(특히 NVM을 사용하는 경우, 자세한 내용은 이 이슈를 참조하세요). 이 경우, meme-mcp 수동으로 전역으로 설치한 후 바로 사용할 수 있습니다.
npm install -g meme-mcp터미널에서 which node 실행하면 node 실행 파일의 경로를 확인할 수 있습니다. 그러면 다음과 같은 구성이 됩니다.
{
"mcpServers": {
"meme": {
"command": "/Users/<USERNAME>/.nvm/versions/node/v20.18.2/bin/node",
"args": ["/Users/<USERNAME>/.nvm/versions/node/v20.18.2/lib/node_modules/meme-mcp/dist/index.js"],
"env": {
"IMGFLIP_USERNAME": "<IMGFLIP USERNAME>",
"IMGFLIP_PASSWORD": "<IMGFLIP PASSWORD>"
}
}
}
}예
Claude Desktop을 설정한 후 다시 시작하면 채팅 입력란 오른쪽 하단에 작은 망치 아이콘이 나타납니다. 그러면 Claude에게 밈을 생성해 달라고 요청할 수 있습니다.

작가
이 프로젝트는 블라디미르 할타코프가 재미 삼아 만든 것입니다. 흥미로우시다면 X @haltakov 로 메시지 주세요.
Available Tools
1 toolgenerateMemeC
Generate a meme image from Imgflip using the numeric template id and text
| Name | Required | Description | Default |
|---|---|---|---|
| templateNumericId | Yes | ||
| text0 | Yes | ||
| text1 | 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 mentions generating a meme image but fails to describe key behaviors such as whether this is a read-only or mutating operation, potential rate limits, authentication needs, or what the output looks like (e.g., image URL or data). This leaves significant gaps in understanding the tool's behavior.
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 a single, efficient sentence that directly states the tool's function without unnecessary words. It is front-loaded with the core action and includes essential details (source and inputs), making it highly concise and well-structured for quick comprehension.
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 tool's complexity (3 parameters, no output schema, no annotations), the description is incomplete. It lacks details on parameter meanings, behavioral traits, output format, and usage context. For a tool that generates external content, more information is needed to guide effective use, making it inadequate for the 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%, meaning the schema provides no descriptions for the three parameters. The description adds minimal semantics by naming the parameters ('numeric template id and text'), but it doesn't explain what 'templateNumericId', 'text0', or 'text1' represent, their formats, or examples. This insufficiently compensates for the lack of schema documentation.
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 action ('Generate a meme image') and the resource ('from Imgflip'), specifying the verb and target. It mentions the required inputs (template id and text), making the purpose specific. However, without sibling tools, it doesn't need to differentiate from alternatives, so it falls short of a perfect score.
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 context for its application. It simply states what the tool does without indicating appropriate scenarios or limitations, leaving the agent with minimal usage direction.
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
generateMeme
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined and distinct by default.
A single tool inherently has perfect naming consistency, as there are no other tools to compare it against. The tool name uses camelCase, which is consistent within itself.
A single tool is too few for a server named 'Meme MCP Server', which suggests a broader scope for meme-related operations. This minimal set limits functionality and feels incomplete for the domain.
The tool surface is severely incomplete for meme generation. It only offers generation via a specific template ID, lacking operations like listing templates, searching memes, editing, or managing meme content, which are typical for such a domain.
Maintenance
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