AI Integration with MediumMCP for Publishing
Dishant Raghav
From Thought to Published: How MediumMCP Streamlines the AI-to-Medium Workflow
6 min read
·
Mar 26, 2025
--
1
Share
Press enter or click to view image in full size
In today’s content-driven digital landscape, programmatic access to publishing platforms has become essential for content creators, marketers, and media organizations. However, traditional approaches to Medium API integration often fall short, presenting developers with rigid interfaces that limit the potential for truly intelligent content interactions.
This is where MediumMCP, a Model Context Protocol (MCP) server that I created, enters the scene with a promise to transform how we interact with Medium’s platform.
Check out the full project on GitHub: github.com/Dishant27/medium-mcp-server
Before diving into the specifics of MediumMCP, it’s worth understanding the foundation it’s built upon. Model Context Protocol represents a paradigm shift in how AI systems interact with external data sources and APIs. It provides a standardized framework that allows Large Language Models (LLMs) like Claude and ChatGPT to access external tools and data sources in a structured, context-aware manner.
By implementing MCP, MediumMCP creates an intelligent bridge between AI systems and Medium’s publishing platform, enabling more natural, context-aware, and powerful interactions.
It’s crucial to understand that Medium’s official API has limited public access. To use MediumMCP effectively, you’ll need to request API credentials from unofficial sources or third-party services that provide Medium API integration capabilities. This is because Medium has restricted their official API to selected partners.
Despite these limitations, MediumMCP is designed to work with whatever level of API access you can obtain, providing a clean, consistent interface regardless of the underlying authentication method. The system can adapt to both official and unofficial API endpoints, offering the best possible integration based on your access level.
At its core, MediumMCP is an elegant solution that leverages TypeScript, the Model Context Protocol framework, and Medium’s API to create a robust, type-safe integration layer. The architecture consists of three main components:
Authentication Module: Implements a secure OAuth 2.0 flow for Medium API authentication with support for various access methods Client Module: Provides intelligent, context-aware methods for interacting with Medium’s various data endpoints MCP Server: Registers tools that expose Medium’s capabilities to LLMs through a standardized protocol
Press enter or click to view image in full size
The implementation showcases several technical features:
This code snippet demonstrates how MediumMCP exposes publishing functionality through a well-defined, typed interface that AI systems can understand and use. The use of Zod for parameter validation ensures type safety and clear documentation of available options.
Unlike traditional API wrappers, MediumMCP is designed with an understanding that context matters. It maintains awareness of the authentication state, request history, and operation sequences, enabling more intelligent interactions with Medium’s API.
Security is at the forefront of MediumMCP’s design:
OAuth 2.0 Implementation: Industry-standard token-based authentication Credential Isolation: Environment-based secret management Clean API Interactions: Properly structured API requests and responses Error Handling: Comprehensive error management and reporting Rate Limiting Protection: Built-in safeguards to prevent API rate limit violations
The system provides access to a wide range of Medium operations:
Publishing Articles
Retrieving User Publications
Managing Drafts
Fetching User Profile Information
Searching and Filtering Articles
Interacting with Comments and Responses
Formatting and Styling Content
Managing Publication Submissions
MediumMCP is built with serious content creators in mind, providing the robustness, security, and flexibility that publishing workflows require:
Type-Safe Operations: Fully typed interfaces minimize runtime errors Extensive Error Handling: Comprehensive error management Observable Operations: Detailed logging for troubleshooting Extensible Design: Easy to expand with additional capabilities Plugin System: Support for custom extensions and integrations
The authentication module is particularly sophisticated, designed to handle the complexities of Medium’s API access:
This flexible authentication approach ensures MediumMCP can work with various levels of API access, from official partner integrations to unofficial third-party services.
The true power of MediumMCP becomes apparent when we consider its practical applications across various publishing workflows:
Content teams can leverage MediumMCP to:
Automate article publishing from various sources
Maintain consistent publishing schedules
Apply standardized formatting and tagging
Track publishing metrics across multiple accounts
Implement content approval workflows
Generate SEO-optimized content structures
Publication managers benefit from:
Centralized management of multiple publications
Streamlined contributor access and submissions
Automated distribution of content
Enhanced analytics and performance tracking
Coordinated editorial calendars
Automated style guide
Marketing teams gain powerful capabilities for:
Monitoring engagement metrics programmatically
Analyzing content performance trends
Automating responses to comments
Optimizing content for better engagement
A/B testing different content approaches
Identifying trending topics within their audience
MediumMCP excels at cross-platform publishing:
Sync content between Medium and other platforms
Maintain consistent branding across channels
Coordinate multi-platform publishing schedules
Track engagement across different platforms
Adapt content formatting for different platforms
One of the most exciting aspects of MediumMCP is how it transforms AI assistants’ capabilities when working with publishing platforms:
With this configuration, an AI assistant can now understand how to publish content on Medium, enabling natural language requests like:
“Publish an article about AI-assisted content creation with the tags ‘artificial intelligence’ and ‘content marketing’”
The AI can translate this request into structured API calls, handling the entire publishing workflow seamlessly.
Workflow diagram showing how a user query is processed through the MCP server
MediumMCP can serve as the foundation for sophisticated content distribution pipelines:
Content Creation: AI generates draft articles based on trending topics Editorial Review: Human editors review and enhance the content Scheduled Publishing: MediumMCP handles timed publication to Medium Social Promotion: Automated social media sharing based on publication Engagement Monitoring: Tracking comments and responses Performance Analysis: Reporting on article performance metrics
This end-to-end workflow showcases how MediumMCP can be integrated into larger content ecosystems, serving as the crucial link between content creation tools and the Medium platform.
Setting up MediumMCP in your environment is straightforward:
Press enter or click to view image in full size
Prerequisites:
Node.js 16+
Medium Developer Account
OAuth2 Credentials from Medium or third-party API access
MCP-compatible LLM (Claude, OpenAI, etc.)
Installation:
Configuration: Create a
.env file with your Medium API credentials:MEDIUM_CLIENT_ID=your_client_id_hereMEDIUM_CLIENT_SECRET=your_client_secret_hereMEDIUM_CALLBACK_URL=http://localhost:3000/callbackMEDIUM_AUTH_TYPE=oauth # Or for third-party access #MEDIUM_API_KEY=your_api_key_here # MEDIUM_AUTH_TYPE=keyIntegration with AI Platforms: Configure your AI assistant to use the MCP server through platform-specific integration methods.
As mentioned earlier, Medium’s official API has limited public availability. Here are some approaches to get the necessary access:
Partner Program: Apply to Medium’s partner program if you’re an established publisher Third-Party Services: Several content API aggregators provide Medium access through their services Community Solutions: Check GitHub for community-maintained Medium API wrappers that work with MediumMCP Limited Public API: Use the available public endpoints with proper rate limit handling
MediumMCP is designed to adapt to whatever level of access you can obtain, providing the best possible experience based on your API access level.
While MediumMCP already offers a powerful set of capabilities, its modular design opens possibilities for future enhancements:
Advanced Analytics: Implementing deeper analysis of content performance Multi-Platform Integration: Combining Medium with other publishing platforms Custom Content Transformation: Adding specialized content processing for specific publishing needs Audience Insights: Building tools to better understand reader engagement AI-Enhanced Publishing: Deeper integration with AI content generation systems Collaborative Workflows: Supporting team-based content creation and publishing Interactive Content: Support for more interactive Medium content types
MediumMCP represents a significant advancement in how we interact with publishing platforms programmatically. Bridging the gap between AI systems and Medium’s publishing platform, it unlocks new possibilities for content creation, distribution, and engagement.
Despite the challenges of Medium’s restricted API access, MediumMCP provides a robust, adaptable solution that works with various authentication methods and access levels. This flexibility ensures that content creators can leverage the power of Medium’s platform regardless of their official partner status.
As AI continues to transform how we work with content, tools like MediumMCP that provide intelligent, context-aware access to publishing platforms will become increasingly valuable. For content creators, marketers, and publishing professionals looking to leverage Medium’s platform more effectively, MediumMCP offers a compelling solution that combines security, flexibility, and power.
About the Author: I am an AI Engineer and Data Scientist specializing in AI-driven tools. MediumMCP represents my vision for more intelligent, context-aware content publishing interactions.
Disclaimer: This project is an independent innovation that is not officially affiliated with Medium. It is designed to work with both official and unofficial API access methods, and users should ensure they comply with Medium’s terms of service when using this tool.
Originally published at https://github.com.
Like this project
Posted Jul 28, 2026
Developed MediumMCP to streamline AI interactions with Medium's platform using MCP framework.
Likes
0
Views
1
