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MCP Document Converter

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View Repository

Convert PDF, DOCX, HTML, Markdown, and Text for AI assistant context injection.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "mcp-document-converter": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-document-converter"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

MCP Document Converter

MCP (Model Context Protocol) Document Converter - A powerful MCP tool for converting documents between multiple formats, enabling AI agents to easily transform documents.

🌐 Language: English | δΈ­ζ–‡

CSDN GitHub Gitee

License Python PyPI Version PyPI Downloads MCP Registry MCP Marketplace

Features

  • Multi-format Support: Supports 5 mainstream document formats: Markdown, HTML, DOCX, PDF, and Text
  • Bidirectional Conversion: Any format can be converted to any other format (5Γ—5=25 conversion combinations)
  • MCP Protocol: Compliant with MCP standards, can be used as a tool for AI assistants like Trae IDE
  • Plugin Architecture: Easy to extend with new parsers and renderers
  • Syntax Highlighting: HTML and PDF outputs support code syntax highlighting
  • Style Customization: Support for custom CSS styles
  • Metadata Preservation: Preserves document title, author, creation time, and other metadata during conversion

πŸ“š Documentation

User Guide Β· API Reference Β· Contributing Β· Changelog Β· License


Architecture

mermaid
flowchart TB
    subgraph Parsers["Parsers"]
        MD[Markdown]
        DOCX1[DOCX]
        HTML1[HTML]
        PDF1[PDF]
        TXT1[Text]
    end

    subgraph IR["Intermediate Representation (IR)"]
        DT[Document Tree]
        META[Metadata]
        ASSETS[Assets]
    end

    subgraph Renderers["Renderers"]
        HTML2[HTML]
        PDF2[PDF]
        MD2[Markdown]
        DOCX2[DOCX]
        TXT2[Text]
    end

    MD --> IR
    DOCX1 --> IR
    HTML1 --> IR
    PDF1 --> IR
    TXT1 --> IR
    
    IR --> HTML2
    IR --> PDF2
    IR --> MD2
    IR --> DOCX2
    IR --> TXT2

Core Components

  1. DocumentIR (Intermediate Representation): Unified abstraction for all documents, containing document tree, metadata, assets, etc.
  2. BaseParser (Parser Base Class): Defines the parser interface, parses various formats into DocumentIR
  3. BaseRenderer (Renderer Base Class): Defines the renderer interface, renders DocumentIR into various formats
  4. ConverterRegistry (Registry): Manages all parsers and renderers, provides format lookup and auto-matching
  5. DocumentConverter (Conversion Engine): Coordinates parsers and renderers to complete document conversion

Supported Formats

Input Formats (Parsers)

FormatExtensionsMIME TypeFeatures
Markdown.md, .markdown, .mdown, .mkdtext/markdownYAML Front Matter, GFM extensions
HTML.html, .htmtext/htmlSemantic tag parsing
DOCX.docxapplication/vnd.openxmlformats-officedocument.wordprocessingml.documentStyles, tables, images
PDF.pdfapplication/pdfText extraction and structure recognition
Text.txt, .texttext/plainAuto encoding detection and structure recognition

Output Formats (Renderers)

FormatExtensionMIME TypeFeatures
HTML.htmltext/htmlBeautiful styling, code highlighting, responsive design
Markdown.mdtext/markdownStandard Markdown format, YAML Front Matter
DOCX.docxapplication/vnd.openxmlformats-officedocument.wordprocessingml.documentWord document format, style preservation
PDF.pdfapplication/pdfGenerated with WeasyPrint, pagination support
Text.txttext/plainPlain text, basic formatting preserved

Conversion Matrix

mermaid
flowchart LR
    subgraph Sources["Source Formats"]
        MD_S[Markdown]
        HTML_S[HTML]
        DOCX_S[DOCX]
        PDF_S[PDF]
        TXT_S[Text]
    end

    subgraph Targets["Target Formats"]
        MD_T[Markdown]
        HTML_T[HTML]
        DOCX_T[DOCX]
        PDF_T[PDF]
        TXT_T[Text]
    end

    MD_S --> Targets
    HTML_S --> Targets
    DOCX_S --> Targets
    PDF_S --> Targets
    TXT_S --> Targets

Installation

Using pip (Recommended)

Terminal
pip install mcp-document-converter

From Source

bash
git clone https://github.com/xt765/mcp-document-converter.git
cd mcp-document-converter
pip install -e .

MCP Tools

This server provides the following tools:

convert_document

Convert a document from one format to another.

Arguments:

  • source_path (string, required): Path to the source document.
  • target_format (string, required): Target format (html, pdf, markdown, docx, text).
  • output_path (string, optional): Path for the output file.
  • source_format (string, optional): Format of the source file (auto-detected if not provided).
  • options (object, optional): Additional options like template, css, and preserve_metadata.

Configuration

Using in Trae IDE / Claude Desktop

Add the following to your MCP configuration file:

Option 1: Using PyPI (Recommended)

config.json
{
  "mcpServers": {
    "mcp-document-converter": {
      "command": "uvx",
      "args": [
        "mcp-document-converter"
      ]
    }
  }
}

Option 2: Using GitHub repository

config.json
{
  "mcpServers": {
    "mcp-document-converter": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/xt765/mcp-document-converter",
        "mcp-document-converter"
      ]
    }
  }
}

Option 3: Using Gitee repository (Faster access in China)

config.json
{
  "mcpServers": {
    "mcp-document-converter": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://gitee.com/xt765/mcp-document-converter",
        "mcp-document-converter"
      ]
    }
  }
}

Option 4: Using pip (Manual installation)

First install the package:

Terminal
pip install mcp-document-converter

Then add to configuration:

config.json
{
  "mcpServers": {
    "mcp-document-converter": {
      "command": "mcp-document-converter",
      "args": []
    }
  }
}

Using in Cherry Studio

Cherry Studio is a powerful open-source desktop AI client assistant that supports integrating various tools through the MCP protocol

Configuration Example:

Cherry Studio Configuration

Usage Example:

Cherry Studio Usage

Usage

As an MCP Tool

After configuration, AI assistants can directly call the following tools:

1. convert_document (Recommended)

Use a unified interface to convert any supported document type.

python
# Markdown to HTML
convert_document(
    source_path="document.md",
    target_format="html"
)

# HTML to PDF
convert_document(
    source_path="document.html",
    target_format="pdf"
)

# DOCX to Markdown
convert_document(
    source_path="document.docx",
    target_format="markdown"
)

# Conversion with options
convert_document(
    source_path="document.md",
    target_format="html",
    output_path="output.html",
    options={
        "css": "custom.css",
        "preserve_metadata": True
    }
)

2. list_supported_formats

List all supported document formats.

python
list_supported_formats()

3. get_conversion_matrix

Get the complete format conversion matrix.

python
get_conversion_matrix()

4. can_convert

Check if conversion from source format to target format is supported.

python
can_convert(source_format="markdown", target_format="pdf")

5. get_format_info

Get detailed information about a specific format.

python
get_format_info(format="markdown")

As a Python Library

server.ts
from mcp_document_converter import DocumentConverter
from mcp_document_converter.registry import get_registry
from mcp_document_converter.parsers import MarkdownParser, HTMLParser
from mcp_document_converter.renderers import HTMLRenderer, PDFRenderer

# Register parsers and renderers
registry = get_registry()
registry.register_parser(MarkdownParser())
registry.register_parser(HTMLParser())
registry.register_renderer(HTMLRenderer())
registry.register_renderer(PDFRenderer())

# Create converter
converter = DocumentConverter(registry)

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about MCP Document Converter

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mcp-document-converter": { "command": "npx", "args": ["-y", "mcp-document-converter"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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