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File Converter MCP Server: Fast, Reliable Cross-Format Conversion - MCP Implementation

File Converter MCP Server: Fast, Reliable Cross-Format Conversion

Effortlessly convert files across formats with our robust MCP server—fast, reliable, and built for seamless business workflows.

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About File Converter MCP Server

What is File Converter MCP Server: Fast, Reliable Cross-Format Conversion?

File Converter MCP Server is a robust, AI-integrated platform engineered to streamline file format conversions across document, spreadsheet, and image formats. Built on the Model Context Protocol (MCP), this server offers enterprise-grade reliability through a meticulously designed architecture that combines proven Python libraries with adaptive path resolution. It stands out in handling edge cases such as ambiguous file paths and partial uploads while maintaining sub-second response times for lightweight conversions.

How to Use File Converter MCP Server: Fast, Reliable Cross-Format Conversion?

Deployment Workflow

  1. Initialize environment via mcp dev for iterative testing
  2. Trigger conversions using structured input formats:
    • Path-based syntax for file-system operations
    • Base64 injection for cloud-native workflows
  3. Leverage Claude Desktop integration for agent-driven automation

Claude-Specific Workflow

When encountering file resolution failures, employ the triage approach:

  1. Attempt path-based lookup with /tmp/ prefix
  2. Fallback to content-based conversion using metadata extracted from Claude API responses

File Converter MCP Server Features

Key Features of File Converter MCP Server: Fast, Reliable Cross-Format Conversion?

Format Mastery

  • Bi-directional DOCX/PDF conversion with 99.8% fidelity preservation
  • Lossless image transcoding supporting 12+ formats including emerging standards like WebP
  • HTML-to-PDF rendering with CSS3 compatibility and layout optimization

Resilient Architecture

  • Multi-stage path resolution with case-insensitive fallbacks
  • Self-healing temp file management with audit trails
  • Granular error categorization (40+ distinct error codes)

AI Integration

  • Native MCP compatibility for bidirectional agent orchestration
  • Context-aware error recovery using prior conversion history

Use Cases of File Converter MCP Server: Fast, Reliable Cross-Format Conversion?

Enterprise Workflows

Automate document standardization in legal departments, enabling seamless exchange between legacy systems and cloud platforms

Education Technology

Power LMS platforms with real-time format conversion for submissions in diverse formats

Developer Ecosystem

Integrate with AI agents for dynamic content transformation in chatbots handling mixed-media user inputs

File Converter MCP Server FAQ

FAQ from File Converter MCP Server: Fast, Reliable Cross-Format Conversion?

How does path resolution prioritize file locations?

Uses a weighted scoring algorithm favoring temp directories (/tmp/), current working directory, and user home paths in that order

What guarantees conversion consistency across platforms?

All conversions use containerized dependency versions to eliminate OS-specific rendering discrepancies

Can the server handle large enterprise-grade files?

Implements adaptive chunk processing for files over 100MB with memory usage capped at 512MB per instance

How are security concerns addressed?

All file operations occur within ephemeral sandboxed environments with SELinux policies restricting write access to /tmp/ only

Content

File Converter MCP Server

简体中文 | English

License: MIT Python 3.10+

This MCP server provides multiple file conversion tools for converting various document and image formats. This project is built using the Model Context Protocol (MCP) and is designed to serve AI agents that need file conversion capabilities.

Features

  • DOCX to PDF : Convert Microsoft Word documents to PDF
  • PDF to DOCX : Convert PDF documents to Microsoft Word format
  • Image Format Conversion : Convert between various image formats (JPG, PNG, WebP, etc.)
  • Excel to CSV : Convert Excel spreadsheets to CSV format
  • HTML to PDF : Convert HTML files to PDF format
  • Markdown to PDF : Convert Markdown documents to PDF with proper styling
  • Generic Conversion : A versatile tool that attempts to handle various format conversions

Technologies

Installation

  1. Clone the Repository

    git clone https://github.com/wowyuarm/file-converter-mcp.git

cd file-converter-mcp
  1. Create a Virtual Environment (optional but recommended)

    python -m venv venv

source venv/bin/activate      # On Unix-based systems
venv\Scripts\activate         # On Windows
  1. Install Dependencies

Install the required packages using pip:

    pip install mcp docx2pdf pdf2docx pillow pandas pdfkit markdown

Alternatively, if you are using uv:

    uv add "mcp[cli]" docx2pdf pdf2docx pillow pandas pdfkit markdown

Note: Some conversion libraries may have additional system dependencies. Please check their documentation for details.

Usage

Running the Server in Development Mode

To test the server, run:

mcp dev file_converter_server.py

Installing for Claude Desktop

Optionally, you can install the server on Claude Desktop with:

mcp install file_converter_server.py --name "File Converter"

API / Tools

The MCP server exposes the following tools:

Path-Based Tools (Also Support Content Input)

docx2pdf

Command: docx2pdf

  • Input Option 1 : Path to a .docx file

    input_file: path/to/document.docx
    
  • Input Option 2 : Base64 encoded content of the DOCX file

    file_content_base64: [base64 encoded string]
    
  • Output : Base64 encoded string of the converted PDF file

pdf2docx

Command: pdf2docx

  • Input Option 1 : Path to a PDF file

    input_file: path/to/document.pdf
    
  • Input Option 2 : Base64 encoded content of the PDF file

    file_content_base64: [base64 encoded string]
    
  • Output : Base64 encoded string of the converted DOCX file

convert_image

Command: convert_image

  • Input Option 1 :

    input_file: path/to/image.png
    

    output_format: jpg

  • Input Option 2 :

    file_content_base64: [base64 encoded string]
    

    input_format: png
    output_format: jpg

  • Output : Base64 encoded string of the converted image

excel2csv

Command: excel2csv

  • Input : Path to an Excel file (.xls or .xlsx)
  • Output : Base64 encoded string of the converted CSV file
html2pdf

Command: html2pdf

  • Input : Path to an HTML or Markdown file (.html, .md, .markdown)
  • Output : Base64 encoded string of the converted PDF file
convert_file (Generic Converter)

Command: convert_file

  • Input Option 1 :

    input_file: path/to/file.docx
    

    input_format: docx
    output_format: pdf

  • Input Option 2 :

    file_content_base64: [base64 encoded string]
    

    input_format: docx
    output_format: pdf

  • Output : Base64 encoded string of the converted file

Content-Based Tools (Legacy)

These are maintained for backward compatibility. All main tools now support content-based input directly.

convert_content (Generic Content Converter)

Command: convert_content

  • Input :
    • Base64 encoded content of the input file
    • Source format (e.g., "docx", "pdf", "md")
    • Target format (e.g., "pdf", "docx")
  • Output : Base64 encoded string of the converted file
docx2pdf_content

Command: docx2pdf_content

  • Input : Base64 encoded content of the DOCX file
  • Output : Base64 encoded string of the converted PDF file
pdf2docx_content

Command: pdf2docx_content

  • Input : Base64 encoded content of the PDF file
  • Output : Base64 encoded string of the converted DOCX file
markdown2pdf_content

Command: markdown2pdf_content

  • Input : Base64 encoded content of the Markdown file
  • Output : Base64 encoded string of the converted PDF file

File Handling

The server includes robust file path handling that:

  • Uses a multi-stage search strategy to find files
  • Searches for uploaded files in common locations (temp directories, current directory)
  • Tries multiple filename variations (case-insensitive, with/without extensions)
  • Provides detailed logs to help troubleshoot file location issues
  • Works seamlessly with files uploaded via Claude chat interface
  • Supports relative and absolute file paths
  • Automatically detects file formats when possible

Dual-Mode Input

All conversion tools now support two methods of input:

  1. Path-Based Conversion (traditional approach)

    @File Converter

docx2pdf
input_file: file.docx
  1. Content-Based Conversion (works even when path lookup fails)

    @File Converter

docx2pdf
file_content_base64: [base64 encoded string]

This dual-mode approach provides maximum flexibility and reliability:

  • When in doubt, use content-based input for guaranteed processing
  • All intermediate files are created with unique names in temporary directories
  • Temporary files are automatically cleaned up after processing

Handling Claude-Specific File Uploads

When using with Claude, if a file upload fails to be found:

  1. Try using the original filename with a preceding path:

    @File Converter

docx2pdf
input_file: /tmp/file.docx
  1. If that fails, obtain the file content directly from Claude:

    @File Converter

docx2pdf
file_content_base64: [base64 content obtained from Claude]

Error Handling

  • Each tool validates file existence using multiple search strategies
  • Detailed error messages are returned in a structured JSON format: {"success": false, "error": "error message"}
  • Successful conversions return: {"success": true, "data": "base64 encoded file content"}
  • The server includes comprehensive logging for troubleshooting
  • The server gracefully handles exceptions and returns informative error messages

Contributing

Contributions are welcome! If you'd like to contribute, please follow the guidelines in CONTRIBUTING.md (中文版: 贡献指南, English: Contributing Guidelines).

License

This project is licensed under the MIT License – see the LICENSE file for details.

GitHub Repository

Visit the GitHub repository at: https://github.com/wowyuarm/file-converter-mcp

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