MCP Server To Markdown

Twitter Follow

A powerful Model Context Protocol (MCP) server that leverages Cloudflare AI services to convert various file formats into Markdown descriptions. This server provides a standardized interface for seamless file conversion and description generation.

Key Features

Seamless integration with Cloudflare AI services
Efficient Markdown description generation
Comprehensive file format support
Native Cloudflare tomarkdown API integration
User-friendly MCP interface
Cross-platform compatibility

Supported File Formats

| Category | File Extensions | |----------|----------------| | Documents | .pdf | | Images | .jpeg, .jpg, .png, .webp, .svg | | Web Content | .html | | Data | .xml, .csv | | Spreadsheets | .xlsx, .xlsm, .xlsb, .xls, .et, .ods, .numbers |

System Requirements

Node.js 18 or later
Valid Cloudflare API Token
Active Cloudflare Account ID

Installation

Install globally using npm:

npm install -g mcp-server-to-markdown

MCP Client Configuration

Cursor Integration

Navigate to Cursor settings
Select "MCP" from the sidebar
Choose "Add new global MCP server"

Apply the following configuration:

{
  "mcpServers": {
    "to-markdown": {
      "command": "mcp-server-to-markdown",
      "args": [
        "CLOUDFLARE_API_TOKEN": "your_api_token"
        "CLOUDFLARE_ACCOUNT_ID": "your_account_id"
      ]
    }
  }
}

Claude Desktop Setup

Add the following to your claude_desktop_config.json:

{
  "mcpServers": {
    "to-markdown": {
      "command": "mcp-server-to-markdown",
      "args": [
            "CLOUDFLARE_API_TOKEN": "your_api_token"
            "CLOUDFLARE_ACCOUNT_ID": "your_account_id"
          ]
    }
  }
}

ChatWise Configuration

Launch ChatWise
Access Settings
Select Tools section
Click "+" to add new tool
Configure with these parameters:
- Type: stdio
- ID: to-markdown
- Command: mcp-server-to-markdown
- Args:
```
CLOUDFLARE_API_TOKEN=your_api_token
CLOUDFLARE_ACCOUNT_ID=your_account_id
```

API Reference

to-markdown Tool

Converts various file formats to Markdown descriptions.

Input Parameters:

filePaths: Array<string> (required) - List of file paths to process

Response Structure:

[
  {
    "filename": "example.pdf",
    "mimeType": "application/pdf",
    "description": "Generated Markdown description",
    "tokens": 123
  }
]

Development Guide

Getting Started

Clone and setup environment:

git clone <repository-url>
cd mcp-server-to-markdown
cp .env.example .env

Configure Cloudflare credentials:

CLOUDFLARE_API_TOKEN=your_api_token
CLOUDFLARE_ACCOUNT_ID=your_account_id

Install dependencies and build:

npm install
npm run build

Project Structure

.
├── src/             # Source code
├── dist/            # Compiled output
├── types.ts         # Type definitions
└── .env             # Environment configuration

Available Scripts

npm run build - Build TypeScript code
npm run inspect - Run with MCP inspector

Usage Example

const result = await toMarkdown({
  filePaths: [
    "/path/to/document.pdf",
    "/path/to/image.jpg"
  ]
});

License

MIT License

This project is maintained by Frad LEE