MCP Markdown Conversion Server

by FradSer
Verified

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Integrations

  • Uses dotenv for environment configuration to store Cloudflare authentication credentials

  • Utilizes Cloudflare AI services, specifically the tomarkdown API, to convert various file types to Markdown descriptions

  • Converts various file formats (including PDF, images, Office documents, and more) into Markdown descriptions

MCP Server To Markdown

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

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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security - not tested
F
license - not found
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quality - not tested

A server that converts various file formats (PDF, images, Office documents, etc.) to Markdown descriptions using Cloudflare AI services.

  1. Key Features
    1. Supported File Formats
      1. System Requirements
        1. Installation
          1. MCP Client Configuration
            1. Cursor Integration
            2. Claude Desktop Setup
            3. ChatWise Configuration
          2. API Reference
            1. to-markdown Tool
          3. Development Guide
            1. Getting Started
            2. Project Structure
            3. Available Scripts
          4. Usage Example
            1. License