markdown2pdf-mcp
Markdown2PDF MCP 服务器 (markdown2pdf-mcp)
一个用于将 Markdown 文档转换为 PDF 文件的 MCP 服务器。该服务器提供了一种简单高效的方式,可以从 Markdown 内容生成 PDF,并支持语法高亮和自定义样式。此外,还支持在第 1 页添加水印。
受到 Alan Shaw 的markdown-pdf的启发。
特征
使用单个命令将 Markdown 转换为 PDF
代码块的语法高亮
PDF 输出的自定义 CSS 样式
支持标准 Markdown 格式
使用 Chrome 渲染引擎生成现代 PDF
对现代网络功能和字体的出色支持
可靠的资源加载和渲染
Related MCP server: MD-PDF MCP Server
限制
不支持以下 Markdown 元素:
LaTeX 数学方程式(例如,
$x^2$或$$\sum_{i=1}^n x_i$$)复杂的数学公式或科学计数法
坚持使用以下受支持的 markdown 元素:
标题(所有级别)
文本格式(粗体、斜体、删除线)
列表(有序和无序)
带有语法高亮的代码块
表格
区块引用
链接
图像(本地文件和外部 URL)
任务列表
安装
# Clone the repository
git clone https://github.com/2b3pro/markdown2pdf-mcp.git
# Navigate to the project directory
cd markdown2pdf-mcp
# Install dependencies
npm install
# Build the project
npm run build用法
启动服务器
npm start使用 MCP 工具
服务器提供了一个单独的工具create_pdf_from_markdown其参数如下:
{
// Required parameters
markdown: string; // Markdown content to convert
// Optional parameters with defaults
outputFilename?: string; // Filename for the PDF (e.g., "output.pdf")
paperFormat?: string; // 'letter' (default), 'a4', 'a3', 'a5', 'legal', 'tabloid'
paperOrientation?: string; // 'portrait' (default), 'landscape'
paperBorder?: string; // '2cm' (default), accepts decimal values with CSS units (e.g., '1.5cm', '2.5mm', '0.5in', '10.5px')
watermark?: string; // Optional watermark text (max 15 characters, uppercase)
}带有选项的示例:
await use_mcp_tool({
server_name: "markdown2pdf",
tool_name: "create_pdf_from_markdown",
arguments: {
markdown: "# Hello World\n\nThis is a test document.",
outputFilename: "output.pdf",
paperFormat: "a4",
paperOrientation: "landscape",
paperBorder: "1.5cm",
watermark: "DRAFT",
},
});最小使用示例:
await use_mcp_tool({
server_name: "markdown2pdf",
tool_name: "create_pdf_from_markdown",
arguments: {
markdown: "# Hello World\n\nThis is a test document.",
outputFilename: "output.pdf",
},
});配置
输出目录
您可以在 MCP 设置文件中为使用 MCP 的应用程序(例如 Cline 或 Claude)配置输出目录。如果未配置,则会将文件保存到 $HOME:
{
"mcpServers": {
"markdown2pdf": {
"command": "node",
"args": ["path/to/markdown2pdf-mcp/build/index.js"],
"env": {
"M2P_OUTPUT_DIR": "/path/to/output/directory"
}
}
}
}该工具通过附加增量数字(例如,output.pdf、output-1.pdf、output-2.pdf)自动处理文件名冲突。
依赖项
@modelcontextprotocol/sdk - 用于服务器实现的 MCP SDK
卓越- Markdown 解析器
highlights.js - 语法高亮
puppeteer - 使用Chrome 生成现代 PDF 进行测试(v131.0.6778.204)
Chrome 版本
此软件包使用 Chrome v131.0.6778.204 在所有安装版本中生成一致的 PDF。运行npm install时会自动安装此版本。
tmp——临时文件处理
发展
# Build the project
npm run build
# Start the server
npm start执照
麻省理工学院
贡献
分叉存储库
创建你的功能分支(
git checkout -b feature/amazing-feature)提交您的更改(
git commit -m 'Add some amazing feature')推送到分支(
git push origin feature/amazing-feature)打开拉取请求
Available Tools
1 toolcreate_pdf_from_markdownA
Convert markdown content to PDF. Supports basic markdown elements like headers, lists, tables, code blocks, blockquotes, images (both local and external URLs), and Mermaid diagrams. Note: Cannot handle LaTeX math equations. Mermaid syntax errors will be displayed directly in the PDF output.
| Name | Required | Description | Default |
|---|---|---|---|
| markdown | Yes | Markdown content to convert to PDF | |
| outputFilename | No | Create a filename for the PDF file to be saved (default: "final-output.pdf"). The environmental variable M2P_OUTPUT_DIR sets the output path directory. If directory is not provided, it will default to user's HOME directory. | |
| paperBorder | No | Border margin for the PDF (default: 2cm). Use CSS units (cm, mm, in, px) | 20mm |
| paperFormat | No | Paper format for the PDF (default: letter) | letter |
| paperOrientation | No | Paper orientation for the PDF (default: portrait) | portrait |
| watermark | No | Optional watermark text (max 15 characters, uppercase), e.g. "DRAFT", "PRELIMINARY", "CONFIDENTIAL", "FOR REVIEW", etc |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden and does well by disclosing key behavioral traits: it describes the conversion process, notes limitations (cannot handle LaTeX math), and specifies how errors (Mermaid syntax errors) are handled in the output. It also hints at file-saving behavior via the outputFilename parameter context.
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, starting with the core purpose, then listing supported elements, and ending with limitations. Every sentence adds value without redundancy, making it efficient and easy to parse.
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 (6 parameters, no output schema, no annotations), the description is quite complete: it covers purpose, supported features, limitations, and behavioral aspects. However, it could improve by mentioning the output format (PDF file) more explicitly or noting any side effects like file creation, though some of this is inferred from parameters.
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?
The schema description coverage is 100%, so the schema already documents all 6 parameters thoroughly. The description does not add any parameter-specific semantics beyond what the schema provides, such as explaining interactions between parameters or usage nuances. This meets the baseline for high schema coverage.
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 tool's purpose with a specific verb ('Convert') and resource ('markdown content to PDF'), and distinguishes it by listing supported elements (headers, lists, tables, etc.) and limitations (no LaTeX math, Mermaid errors displayed). With no sibling tools, this level of detail is excellent.
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 what markdown elements are supported and what is not handled (LaTeX math), but it does not provide explicit guidance on when to use this tool versus alternatives (e.g., other PDF generators or markdown processors). With no sibling tools, this is adequate but lacks broader context.
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 tool update
v1.0.0- First observed
create_pdf_from_markdown
TDQS
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 consistent naming, as there are no other tools to compare against. The name 'create_pdf_from_markdown' follows a clear verb_noun pattern.
One tool is too few for a server's purpose, as it severely limits functionality and flexibility. The server's scope (markdown to PDF conversion) could reasonably support additional tools for customization, validation, or batch processing.
The tool surface is severely incomplete for markdown-to-PDF conversion. While the core conversion is covered, there are obvious gaps such as no tools for configuring PDF settings (e.g., margins, page size), handling errors gracefully, or managing multiple conversions efficiently.
Maintenance
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Related MCP Connectors
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Hosted MCP server: convert PDFs to clean, LLM-ready Markdown with tables, formulas and OCR.
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Document-to-Markdown MCP server — convert PDF, Office and HTML into LLM-ready Markdown.
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