MCP Server To Markdown

by FradSer

一款强大的 MCP 服务器,利用 Cloudflare AI 服务将各种文件格式转换为 Markdown 描述。需要通过环境变量 CLOUDFLARE_API_TOKEN 和 CLOUDFLARE_ACCOUNT_ID 配置有效的 Cloudflare API 令牌和账户ID。

Developer toolsstdio or Streamable HTTPCommunity

Repository-wide counts · Cached 2026-03-07

Overview

The MCP Server To Markdown MCP server is a publicly available project. Review the upstream repository for installation instructions, supported tools, compatibility, permissions, and current maintenance status.

Configuration

Configuration, transport, authentication, and runtime requirements vary by project. Open the repository before connecting and use the smallest set of credentials and permissions required.

Open the MCP Server To Markdown repository to read the latest documentation.

KEEP EXPLORING

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FROM THE SOURCE

Repository README

Build-time snapshot · Retrieved 2026-10-05

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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:
    {
      "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