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markdown2pdf-mcp

⚡ Markdown to PDF conversion, for agents. ⚡

Agents speak Markdown. Humans prefer PDF. We bridge the gap for the final stage of your agentic workflow. No sign-ups, no credit cards, just sats for bytes.

Read the full documentation at markdown2pdf.ai

Here’s the output of a markdown file converted to PDF format, showing cover page, table of contents and table support. Our engine is powered by LaTeX rather than HTML to PDF conversion as many other libraries and services use, which results in a much higher quality, print-ready output.

This package provides MCP server support for clients such as Claude Desktop. You can read full instructions on how to configure Claude in our documentation.

Quickstart

Just drop the following into your Claude Desktop configuration file.

"mcpServers": {

    "markdown2pdf": {
      "command":"npx",
      "args": ["@serendipityai/markdown2pdf-mcp"],
      "cwd": "~"
    }
}

Once you've done that, try asking Claude:

Generate some lorem ipsum in markdown format and then make a PDF out of it

Available Tools

1 tool
markdown2pdfC

Convert markdown to PDF, and pay with Lightning

ParametersJSON Schema
NameRequiredDescriptionDefault
dateNoDocument date (YYYY-MM-DD)
text_bodyYesMarkdown text to convert
titleYesDocument title

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. While it mentions the conversion action and payment requirement, it doesn't disclose important behavioral traits like whether this is a read-only or destructive operation, what authentication is needed, rate limits, error conditions, or what the output looks like. The payment aspect is useful context, but overall behavioral transparency is inadequate for a tool with no annotation coverage.

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 extremely concise - just 7 words total. It's front-loaded with the core functionality ('Convert markdown to PDF') followed by the payment aspect. Every word earns its place, and there's no wasted verbiage or redundancy.

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 that there are no annotations and no output schema, the description should provide more complete context. While it states the basic functionality and payment requirement, it doesn't explain what the tool returns, what happens after conversion, error handling, or other important contextual information needed for a tool that performs conversion with payment requirements.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all three parameters (date, text_body, title) with their descriptions. The tool description doesn't add any parameter-specific information beyond what's in the schema. According to scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no param info in the description.

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: 'Convert markdown to PDF' specifies the verb (convert) and resource (markdown to PDF). It also adds the payment aspect 'pay with Lightning' which provides additional context. However, since there are no sibling tools, it doesn't need to differentiate from alternatives, so it doesn't reach the highest score.

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. It mentions payment ('pay with Lightning') which hints at a cost implication, but doesn't explicitly state when this tool should be used, what prerequisites exist, or when other tools might be more appropriate. No explicit when/when-not guidance is provided.

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 observedmarkdown2pdf

TDQS

B3.1/5.0
Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap between tools, as there are no other tools to compare it to. The tool's purpose is clearly defined and distinct by default.

Naming Consistency5/5

Since there is only one tool, naming consistency is inherently perfect; there are no other tool names to compare it against, so no inconsistencies can exist. The tool name 'markdown2pdf' is straightforward and descriptive.

Tool Count2/5

A single tool is too few for most server purposes, as it limits functionality and suggests an incomplete or overly narrow scope. While the tool is specific to markdown-to-PDF conversion, the server lacks supporting tools for related tasks like previewing, customizing output, or handling errors.

Completeness2/5

The server is severely incomplete for a markdown-to-PDF domain, as it only provides conversion without essential operations like configuration (e.g., setting page size, fonts), validation, or error handling. This minimal surface will likely cause agent failures when more complex workflows are needed.

Maintenance

ActivityMaintained
ResponsivenessSyncing

Resources

Unclaimed servers have limited discoverability.

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