Yakpdf MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Yakpdf MCP Serverconvert this article to PDF: https://example.com/blog/post"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Yakpdf MCP Server
用于访问 Yakpdf API 的 MCP 服务器。
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bach-yakpdf)🎉 点击 "安装 MCP" 按钮
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Related MCP server: FileToPDF MCP server
简介
这是一个 MCP 服务器,用于访问 Yakpdf API。
PyPI 包名:
bach-yakpdf版本: 1.0.0
传输协议: stdio
安装
从 PyPI 安装:
pip install bach-yakpdf从源码安装:
pip install -e .运行
方式 1: 使用 uvx(推荐,无需安装)
# 运行(uvx 会自动安装并运行)
uvx --from bach-yakpdf bach_yakpdf
# 或指定版本
uvx --from bach-yakpdf@latest bach_yakpdf方式 2: 直接运行(开发模式)
python server.py方式 3: 安装后作为命令运行
# 安装
pip install bach-yakpdf
# 运行(命令名使用下划线)
bach_yakpdf配置
API 认证
此 API 需要认证。请设置环境变量:
export API_KEY="your_api_key_here"环境变量
变量名 | 说明 | 必需 |
| API 密钥 | 是 |
| 不适用 | 否 |
| 不适用 | 否 |
在 Cursor 中使用
编辑 Cursor MCP 配置文件 ~/.cursor/mcp.json:
{
"mcpServers": {
"bach-yakpdf": {
"command": "uvx",
"args": ["--from", "bach-yakpdf", "bach_yakpdf"],
"env": {
"API_KEY": "your_api_key_here"
}
}
}
}在 Claude Desktop 中使用
编辑 Claude Desktop 配置文件 claude_desktop_config.json:
{
"mcpServers": {
"bach-yakpdf": {
"command": "uvx",
"args": ["--from", "bach-yakpdf", "bach_yakpdf"],
"env": {
"API_KEY": "your_api_key_here"
}
}
}
}可用工具
此服务器提供以下工具:
pdf
Generate a PDF from a URL or HTML string.
端点: POST /pdf
技术栈
传输协议: stdio
HTTP 客户端: httpx
许可证
MIT License - 详见 LICENSE 文件。
开发
此服务器由 API-to-MCP 工具生成。
版本: 1.0.0
Available Tools
1 toolpdfB
Generate a PDF from a URL or HTML string.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
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 the action ('Generate a PDF') but fails to describe any behavioral traits such as performance, error handling, rate limits, or output format. This leaves significant gaps in understanding how the tool behaves.
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 any unnecessary words. It is front-loaded and appropriately sized for its purpose, making it highly concise and well-structured.
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 (generating PDFs from varied inputs) and lack of annotations or output schema, the description is incomplete. It does not cover behavioral aspects, usage context, or output details, leaving the agent with insufficient information for effective tool invocation.
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 input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description adds value by specifying the input sources ('URL or HTML string'), which provides context beyond the empty schema, earning a baseline score above 3.
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 ('Generate') and resource ('PDF'), specifying the input sources ('from a URL or HTML string'). It distinguishes what the tool does effectively, though there are no sibling tools to differentiate from, which prevents 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 any context for its application. It merely states what it does without indicating scenarios or constraints for usage.
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
pdf
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'pdf' has a clear and distinct purpose of generating PDFs from URLs or HTML strings, leaving no room for misselection by an agent.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'pdf' is simple and descriptive, and with no other tools to compare against, there are no inconsistencies in naming patterns or conventions.
A single tool is too few for a server named 'Yakpdf MCP Server', which suggests a PDF-focused domain. While the tool covers a core function, the scope feels thin and incomplete, as typical PDF servers might include additional operations like merging, splitting, or extracting text from PDFs.
The tool surface is severely incomplete for a PDF server. It only supports generating PDFs from URLs or HTML, with no coverage for other common PDF operations such as reading, editing, converting, or managing existing PDF files. This creates significant gaps that will likely cause agent failures in broader PDF-related tasks.
Maintenance
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