cloudflare ai to markdown.com
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Cloudflare AI to Markdown

Bridges Claude with Cloudflare's AI services to convert PDFs, images, HTML, and Office documents into structured markdow...

Created byApr 22, 2025

MCP Server To Markdown ![](https://img.shields.io/badge/A%20FRAD%20PRODUCT-WIP-yellow)

English |
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

[object Object]
[object Object]
[object Object]
[object Object]
[object Object]
[object Object]
[object Object]
[object Object]
[object Object]
[object Object]
[object Object]
[object Object]

System Requirements

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

Installation

Install globally using npm:

MCP Client Configuration

Cursor Integration

  1. Navigate to Cursor settings
  1. Select "MCP" from the sidebar
  1. Choose "Add new global MCP server"
  1. Apply the following configuration:

Claude Desktop Setup

Add the following to your claude_desktop_config.json:

ChatWise Configuration

  1. Launch ChatWise
  1. Access Settings
  1. Select Tools section
  1. Click "+" to add new tool
  1. Configure with these parameters:

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:

Development Guide

Getting Started

  1. Clone and setup environment:
  1. Configure Cloudflare credentials:
  1. Install dependencies and build:

Project Structure

Available Scripts

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

Usage Example

License

MIT License
This project is maintained by Frad LEE

MCP Server To Markdown ![](https://img.shields.io/badge/A%20FRAD%20PRODUCT-WIP-yellow)

English |
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

[object Object]
[object Object]
[object Object]
[object Object]
[object Object]
[object Object]
[object Object]
[object Object]
[object Object]
[object Object]
[object Object]
[object Object]

System Requirements

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

Installation

Install globally using npm:

MCP Client Configuration

Cursor Integration

  1. Navigate to Cursor settings
  1. Select "MCP" from the sidebar
  1. Choose "Add new global MCP server"
  1. Apply the following configuration:

Claude Desktop Setup

Add the following to your claude_desktop_config.json:

ChatWise Configuration

  1. Launch ChatWise
  1. Access Settings
  1. Select Tools section
  1. Click "+" to add new tool
  1. Configure with these parameters:

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:

Development Guide

Getting Started

  1. Clone and setup environment:
  1. Configure Cloudflare credentials:
  1. Install dependencies and build:

Project Structure

Available Scripts

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

Usage Example

License

MIT License
This project is maintained by Frad LEE