Medium MCP API Server

A Model Context Protocol (MCP) server that integrates with Medium's API to enable seamless content publishing and user account management from external applications. The Model Context Protocol provides a standardized way for AI models to interact with external services and APIs, allowing this server to serve as a bridge between AI assistants and the Medium publishing platform.

🚀 Features

• Authentication & User Management

  • Secure Medium OAuth integration
  • JWT-based authentication
  • User profile management

• Content Publishing

  • Support for Markdown and HTML content formats
  • Draft creation and management
  • Post scheduling
  • Publication integration
  • Tag and category support

• Media Management

  • Image upload and storage
  • Content formatting utilities

• Reliability & Performance

  • Redis-based caching
  • Job scheduling for post publication
  • Comprehensive error handling
  • Rate limiting

📋 Requirements

• Node.js 16+
• MongoDB
• Redis (optional, but recommended for scheduling)
• Medium API credentials

🛠️ Installation

Using Docker (Recommended)

1. Clone the repository:

   git clone https://github.com/jignesh88/medium-mcp-api.git
   cd medium-mcp-api
   

2. Create a .env file based on the example:

   cp .env.example .env
   

3. Update the .env file with your credentials:

   MEDIUM_CLIENT_ID=your_medium_client_id
   MEDIUM_CLIENT_SECRET=your_medium_client_secret
   MEDIUM_REDIRECT_URI=http://your-domain.com/api/auth/medium/callback
   JWT_SECRET=your_strong_secret_key
   

4. Start the services using Docker Compose:

   docker-compose up -d
   

Manual Installation

1. Clone the repository:

   git clone https://github.com/jignesh88/medium-mcp-api.git
   cd medium-mcp-api
   

2. Install dependencies:

   npm install
   

3. Create and configure your .env file

4. Start MongoDB and Redis servers

5. Start the application:

   npm start
   

🔐 Medium API Setup

1. Create a Medium developer application at https://medium.com/me/applications
2. Set the callback URL to http://your-domain.com/api/auth/medium/callback
3. Copy your Client ID and Client Secret to your .env file

📚 API Documentation

Authentication Endpoints

Register a new user

POST /api/auth/register

Request Body:

{
  "email": "user@example.com",
  "name": "John Doe"
}

Response:

{
  "message": "User registered successfully",
  "token": "jwt_token_here",
  "user": {
    "userId": "user_id",
    "email": "user@example.com",
    "name": "John Doe"
  }
}

Login

POST /api/auth/login

Request Body:

{
  "email": "user@example.com"
}

Response:

{
  "message": "Login successful",
  "token": "jwt_token_here",
  "user": {
    "userId": "user_id",
    "email": "user@example.com",
    "name": "John Doe",
    "mediumConnected": true
  }
}

Connect Medium Account

GET /api/auth/medium

Headers:

Authorization: Bearer jwt_token_here

Response:

{
  "authUrl": "https://medium.com/m/oauth/authorize?client_id=..."
}

Content Management Endpoints

Create a Post

POST /api/posts

Headers:

Authorization: Bearer jwt_token_here

Request Body:

{
  "title": "My New Post",
  "content": "# Markdown Content\n\nThis is my post content.",
  "contentFormat": "markdown",
  "tags": ["programming", "tutorial"],
  "publishStatus": "draft",
  "publicationId": "optional_publication_id"
}

Response:

{
  "_id": "post_id",
  "userId": "user_id",
  "title": "My New Post",
  "content": "# Markdown Content\n\nThis is my post content.",
  "contentFormat": "markdown",
  "tags": ["programming", "tutorial"],
  "publishStatus": "draft",
  "createdAt": "2025-03-16T07:00:00.000Z",
  "updatedAt": "2025-03-16T07:00:00.000Z"
}

Publish a Post to Medium

POST /api/posts/:postId/publish

Headers:

Authorization: Bearer jwt_token_here

Response:

{
  "message": "Post published successfully",
  "post": {
    "_id": "post_id",
    "mediumPostId": "medium_post_id",
    "title": "My New Post",
    "published": true,
    ...
  }
}

Get User's Posts

GET /api/posts?status=draft&page=1&limit=10

Headers:

Authorization: Bearer jwt_token_here

Response:

{
  "posts": [
    {
      "_id": "post_id",
      "title": "My New Post",
      ...
    }
  ],
  "total": 15,
  "page": 1,
  "pages": 2
}

Media Management

Upload an Image

POST /api/media/upload

Headers:

Authorization: Bearer jwt_token_here
Content-Type: multipart/form-data

Form Data:

image: [file]

Response:

{
  "message": "File uploaded successfully",
  "filePath": "/uploads/filename.jpg",
  "fileName": "filename.jpg",
  "originalName": "my-image.jpg",
  "mimeType": "image/jpeg",
  "size": 12345
}

🔄 Integrating with the MCP Server

Example: Publishing a post with Node.js

const axios = require('axios');

const API_URL = 'http://your-domain.com';
const TOKEN = 'your_jwt_token';

async function publishPost() {
  try {
    // Create a draft post
    const post = await axios.post(`${API_URL}/api/posts`, {
      title: 'My Awesome Article',
      content: '# Hello Medium\n\nThis is my first post published via the MCP API.',
      contentFormat: 'markdown',
      tags: ['api', 'medium', 'tutorial'],
      publishStatus: 'draft'
    }, {
      headers: {
        'Authorization': `Bearer ${TOKEN}`
      }
    });
    
    // Publish the post to Medium
    const published = await axios.post(`${API_URL}/api/posts/${post.data._id}/publish`, {}, {
      headers: {
        'Authorization': `Bearer ${TOKEN}`
      }
    });
    
    console.log('Post published successfully!', published.data);
  } catch (error) {
    console.error('Error publishing post:', error.response?.data || error.message);
  }
}

publishPost();

📅 Scheduled Publishing

The server supports scheduling posts for future publication. When creating or updating a post, include a scheduledAt field with an ISO timestamp:

{
  "title": "Scheduled Post",
  "content": "This will be published automatically.",
  "scheduledAt": "2025-03-20T12:00:00.000Z"
}

The server will automatically publish the post at the specified time if Redis is configured.

🛡️ Security Considerations

• Always use HTTPS in production
• Rotate your JWT secret regularly
• Set up proper monitoring and logging
• Store sensitive data in environment variables or a secure vault
• Implement proper CORS policies

🔧 Configuration

All configuration is done through environment variables:

Variable	Description	Required
PORT	Server port (default: 3000)	No
MONGODB_URI	MongoDB connection string	Yes
REDIS_URL	Redis connection string	No
JWT_SECRET	Secret for JWT tokens	Yes
MEDIUM_CLIENT_ID	Medium API client ID	Yes
MEDIUM_CLIENT_SECRET	Medium API client secret	Yes
MEDIUM_REDIRECT_URI	OAuth callback URL	Yes
FRONTEND_URL	URL for frontend redirects	Yes

📜 License

MIT

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request