v1.0.0

📚 Documentation

Learn how to use MarkdownTree and integrate with our API and MCP endpoints.

✏️

Editor Guide

Learn how to use the visual markdown editor with graph visualization.

📡

API Reference

OpenAPI specification for programmatic access.

🔌

MCP Client

Connect to AI agents via the Model Context Protocol.

🔌 MCP Integration

MarkdownTree is fully compatible with the Model Context Protocol (MCP). Connect your AI agents, LLM workflows, and automation tools to MarkdownTree's capabilities.

🌐 MCP Discovery Endpoint

GET https://markdown.platphormnews.com/.well-known/mcp.json

🤖 MCP Client Portal

Use the Platphorm MCP Client to connect agents and tools:

mcp.platphormnews.com

📋 Available MCP Tools

• parseMarkdown — Parse markdown content into a graph structure
• exportDocument — Export to Markdown, HTML, or JSON
• aiEnhance — AI-powered text enhancement

⚡ Quick Start

📊 Transform Markdown to Graph

curl -X POST https://markdown.platphormnews.com/api/v1/transform \
  -H "Content-Type: application/json" \
  -d '{"markdown": "# Hello\n\nWorld"}'

📤 Export Document

curl -X POST https://markdown.platphormnews.com/api/v1/export \
  -H "Content-Type: application/json" \
  -d '{"markdown": "# Doc", "format": "html"}'

🤖 AI Enhancement

curl -X POST https://markdown.platphormnews.com/api/v1/ai/enhance \
  -H "Content-Type: application/json" \
  -d '{"markdown": "# Draft", "action": "improve"}'

📡 Endpoints

Method	Endpoint	Description
GET	/api/health	💚 Health check
GET	/api/docs	📄 OpenAPI spec
POST	/api/v1/transform	📊 Parse markdown to graph
POST	/api/v1/export	📤 Export document
POST	/api/v1/ai/enhance	🤖 AI enhancement
POST	/api/v1/ai/chat	💬 AI chat assistant

🌐 Internationalization

MarkdownTree includes built-in I18N support. The interface automatically detects your browser language and supports:

🇺🇸English🇪🇸Español🇫🇷Français🇩🇪Deutsch🇯🇵日本語🇨🇳中文

📎 Resources

📰 RSS Feed 🗺️ Sitemap 🤖 LLM Context 🔌 MCP Config 🌐 MCP Client Portal ⭐ GitHub