Markdown转换服务器

将各种格式的文件转换为Markdown描述,帮助用户轻松获取文件内容的结构化信息。通过Cloudflare AI服务,支持多种文件类型的转换,提升文档处理效率。

Installation

Installing for Claude Desktop

Option 1: One-Command Installation

npx mcpbar@latest install FradSer/mcp-server-to-markdown -c claude

This command will automatically install and configure the Markdown转换服务器 MCP server for your selected client.

Option 2: Manual Configuration

Run the command below to open your configuration file:

npx mcpbar@latest edit -c claude

After opening your configuration file, copy and paste this configuration:

View JSON configuration
{
  "mcpServers": {
    "Markdown转换服务器": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-server-to-markdown"
      ],
      "env": {
        "CLOUDFLARE_API_TOKEN": "${input:cloudflare_api_token}"
      }
    }
  }
}

MCP Server To Markdown

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English | 简体中文

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

CategoryFile 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

Installing via Smithery

To install Markdown转换服务器 for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @FradSer/mcp-server-to-markdown --client claude

Manual Installation

Install globally using npm:

npm install -g mcp-server-to-markdown

MCP Client Configuration

Cursor Integration

  1. Navigate to Cursor settings
  2. Select "MCP" from the sidebar
  3. Choose "Add new global MCP server"
  4. 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

  1. Launch ChatWise
  2. Access Settings
  3. Select Tools section
  4. Click "+" to add new tool
  5. 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 (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

  1. Clone and setup environment:
git clone <repository-url>
cd mcp-server-to-markdown
cp .env.example .env
  1. Configure Cloudflare credentials:
CLOUDFLARE_API_TOKEN=your_api_token
CLOUDFLARE_ACCOUNT_ID=your_account_id
  1. 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

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