MCP ExplorerExplorer

Mcp Server To Markdown

@FradSeron 9 months ago
33 MIT
FreeCommunity
AI Systems
mcp-server-to-markdown 是一个强大的模型上下文协议服务器,利用 Cloudflare AI 服务将多种文件格式转换为 Markdown。它具有与 Cloudflare 的无缝集成、高效的描述生成,并支持多种文件类型,确保用户友好且跨平台兼容。

Overview

What is Mcp Server To Markdown

mcp-server-to-markdown is a server that utilizes Cloudflare AI services to convert various file formats into Markdown descriptions.

Use cases

Use cases for mcp-server-to-markdown include converting documentation, images, and other file types into Markdown for easier editing and sharing, as well as integrating with applications that require Markdown formatted content.

How to use

To use mcp-server-to-markdown, set up your environment by copying the example configuration file, configuring your Cloudflare credentials, installing dependencies via npm, and then building and running the service. You can use the ‘to-markdown’ tool to convert files by providing their paths.

Key features

Key features include the ability to upload files to Cloudflare AI services, retrieve Markdown descriptions for various file types, and support for multiple formats such as PDF, images, HTML, XML, Microsoft Office files, and more.

Where to use

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Content

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

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

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:

Claude Desktop Setup

Add the following to your claude_desktop_config.json:

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

Tools

No tools

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