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PDF to PNG MCP Server

by truaxki
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Python
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PDF를 PNG로 MCP 서버로

PDF를 PNG로 변환하는 기능을 제공하는 모델 컨텍스트 프로토콜(MCP) 서버입니다. 이 서버를 사용하면 간단한 MCP 도구 호출을 통해 PDF 문서를 PNG 이미지로 변환할 수 있습니다.

필수 조건

이 서버에는 모델 컨텍스트 프로토콜(MCP)이 필요합니다. MCP를 처음 사용하는 경우 먼저 SDK를 설치하세요.

지엑스피1

추가 요구 사항:

  • Python 3.10 이상

  • uv 패키지 관리자

  • poppler(pdf2image에 필요)

Poppler 설치

  • Windows : poppler-windows 에서 다운로드 및 설치

  • macOS : brew install poppler

  • 리눅스 : sudo apt-get install poppler-utils

Related MCP server: MCP PDF Reader

설치

  1. 이 저장소를 복제하세요:

    git clone https://github.com/truaxki/mcp-Pdf2png.git
cd mcp-Pdf2png

  2. 가상 환경을 만들고 활성화하세요.

    uv venv
# Windows
.venv\Scripts\activate
# Unix/macOS
source .venv/bin/activate

  3. 패키지를 설치하세요:

    uv pip install -e .

용법

1. MCP 클라이언트 구성

claude_desktop_config.json 파일에 서버 구성을 추가하세요. 이 파일은 일반적으로 다음 위치에 있습니다.

  • Windows: %APPDATA%\Claude Desktop\config\claude_desktop_config.json

  • macOS/Linux: ~/.config/Claude Desktop/config/claude_desktop_config.json

{
  "mcpServers": {
    "pdf2png": {
      "command": "uv",
      "args": [
        "--directory",
        "/absolute/path/to/mcp-Pdf2png",
        "run",
        "pdf2png"
      ]
    }
  }
}

참고: /absolute/path/to/mcp-Pdf2png 저장소를 복제한 실제 경로로 바꾸세요.

2. 서버 사용

서버는 다음 매개변수를 사용하여 단일 도구인 pdf2png 제공합니다.

  • read_file_path : 입력 PDF 파일의 절대 경로

  • write_folder_path : PNG 파일을 저장해야 하는 디렉토리의 절대 경로

산출:

  • 각 PDF 페이지는 PNG 이미지로 변환됩니다.

  • 파일 이름은 page_1.png , page_2.png 등으로 지정됩니다.

  • 변환 횟수와 함께 성공 메시지를 반환합니다.

기여하다

기여를 환영합니다! 풀 리퀘스트를 제출해 주세요.

Available Tools

1 tool
pdf2pngC

Converts PDFs to images in PNG format.

ParametersJSON Schema
NameRequiredDescriptionDefault
read_file_pathYes
write_folder_pathYes

TDQS

C2.8/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions conversion but lacks details on permissions, rate limits, error handling, or output behavior (e.g., whether it overwrites files). This leaves significant gaps for a tool that performs file operations.

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 with zero waste, front-loading the core functionality. It's appropriately sized for a straightforward tool, earning a high score for conciseness.

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 (file conversion with 2 parameters), lack of annotations, and no output schema, the description is incomplete. It doesn't address key aspects like what the tool returns, error conditions, or file handling specifics, leaving the agent with insufficient context.

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 description coverage is 0%, so the description must compensate by explaining parameters. It adds no meaning beyond the schema, failing to clarify what 'read_file_path' and 'write_folder_path' represent (e.g., input PDF file path and output directory for PNGs).

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 with a specific verb ('converts') and resource ('PDFs to images in PNG format'), making it immediately understandable. It doesn't need to distinguish from siblings since none exist, so a 4 is appropriate rather than 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?

The description provides no guidance on when to use this tool versus alternatives, prerequisites, or contextual constraints. It merely states what the tool does without indicating appropriate 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.

  1. 1 tool updatev1.0.0
    • Addedpdf2png
Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

B3/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is singular and clearly defined.

Naming Consistency5/5

A single tool inherently has perfect naming consistency, as there are no other tools to compare against. The name 'pdf2png' is descriptive and follows a clear pattern.

Tool Count2/5

One tool is too few for most practical server purposes, as it limits functionality to a single operation. For a PDF conversion server, this feels thin and under-scoped, lacking features like batch processing or format options.

Completeness2/5

The server is severely incomplete for a PDF conversion domain. It only converts PDFs to PNGs, missing obvious operations like converting to other image formats (e.g., JPEG, TIFF), handling multiple pages, or providing configuration options (e.g., resolution, quality).

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

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