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Hashnode MCP Server

Hashnode MCP Server

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github.com/sbmagar13Social Media7Updated 23w ago

About Hashnode MCP Server

Hashnode MCP Server connects AI assistants to the Hashnode API for creators managing Hashnode content. Its tools cover article editing and search, plus user and publication lookups.

Key features

  1. 01Create and publish articles
  2. 02Update existing articles
  3. 03Search articles by keyword
  4. 04Retrieve article details
  5. 05Look up users and latest articles

Use cases

  1. 01Publish Hashnode articles through an AI assistant
  2. 02Find articles matching keywords
  3. 03Review article or user details

MCP support

This MCP server exposes Hashnode API operations to MCP clients through tools for article management, search, and information retrieval.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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Hashnode MCP Server

A Model Context Protocol (MCP) server for interacting with the Hashnode API. This server provides tools for accessing and searching Hashnode content programmatically.

Hashnode MCP Server

Demo

  • Create Article Create Article
  • Update Article Update Article

Features

  • Creating and publishing new articles
  • Updating existing articles
  • Searching for articles by keywords
  • Retrieving article details
  • Getting user information
  • Fetching the latest articles from a publication

Installation

  1. Clone the repository:

    git clone https://github.com/sbmagar13/hashnode-mcp-server.git
    cd hashnode-mcp-server
    
  2. Create a virtual environment and activate it:

    python -m venv .venv
    source .venv/bin/activate  # On Windows, use: .venv\Scripts\activate
    
  3. Install the dependencies:

    pip install -r requirements.txt
    
  4. Create a .env file in the root directory with your Hashnode API credentials:

    HASHNODE_PERSONAL_ACCESS_TOKEN=your_personal_access_token
    HASHNODE_API_URL=https://gql.hashnode.com
    

Usage

Starting the Server

You have two options for running the server:

Option 1: Run the server manually
python run_server.py

Or directly using the root file:

python mcp_server.py

The server will start and listen for connections from AI assistants. By default, it runs on localhost:8000 using the Server-Sent Events (SSE) transport protocol.

Option 2: Let the MCP integration handle it automatically

When properly configured in Claude Desktop or Cline VSCode extension, the MCP integration will automatically start and manage the server process for you.

Important Note on File Structure

When configuring your MCP server in Claude Desktop or Cline VSCode extension, you should use the root mcp_server.py file directly rather than the files in the hashnode_mcp directory. The hashnode_mcp directory is primarily for packaging purposes.

Available Tools

The server provides the following tools:

  • test_api_connection(): Test the connection to the Hashnode API
  • create_article(title, body_markdown, tags="", published=False): Create and publish a new article on Hashnode
  • update_article(article_id, title=None, body_markdown=None, tags=None, published=None): Update an existing article on Hashnode
  • get_latest_articles(hostname, limit=10): Get the latest articles from a Hashnode publication by hostname
  • search_articles(query, page=1): Search for articles on Hashnode
  • get_article_details(article_id): Get detailed information about a specific article
  • get_user_info(username): Get information about a Hashnode user
Using the MCP Server

Once the server is running, you can use it with AI assistants that support the Model Context Protocol (MCP), such as Claude. The assistant will be able to use the tools provided by the server to interact with the Hashnode API.

The tools can be used to:

  • Test the API connection
  • Create and publish new articles
  • Update existing articles
  • Get the latest articles from a publication
  • Search for articles
  • Get detailed information about specific articles
  • Get information about users

Configuring MCP on Claude Desktop and Cline VSCode Extension

Cline VSCode Extension
  1. Navigate to the Cline MCP settings file:

    • Windows: %APPDATA%\Code\User\globalStorage\saoudrizwan.claude-dev\settings\cline_mcp_settings.json
    • macOS: ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings\cline_mcp_settings.json
    • Linux: Unfortunately, Claude Desktop is not available for Linux as of now (You can use Cline extension instead)
  2. Add your Hashnode MCP server configuration:

    {
      "mcpServers": {
        "hashnode": {
          "command": "/path/to/your/venv/bin/python",
          "args": [
            "/path/to/your/hashnode-mcp-server/mcp_server.py"
          ],
          "env": {
            "HASHNODE_PERSONAL_ACCESS_TOKEN": "your-personal-access-token"
          }
        }
      }
    }
    
Claude Desktop
  1. Navigate to the configuration file:

    • Windows: %APPDATA%\Claude\claude_desktop_config.json
    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  2. Add your Hashnode MCP server configuration using the same format as above.

Troubleshooting Connection Issues

If you encounter connection issues:

  • Verify the server is running
  • Check the paths in your configuration
  • Ensure your environment variables are properly set
  • Check the server logs for any error messages
  • Try restarting both the MCP server and the Claude application

Environment Variables

  • HASHNODE_PERSONAL_ACCESS_TOKEN: Your Hashnode personal access token
  • HASHNODE_API_URL: The Hashnode GraphQL API URL (default: https://gql.hashnode.com)

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

License

This project is licensed under the MIT License - see the LICENSE file for details.

GitHub Repository

The source code for this project is available on GitHub: https://github.com/sbmagar13/hashnode-mcp-server

Technical Architecture

The project is organized with a clean, modular structure:

  • mcp_server.py: Root server implementation that can be run directly
  • hashnode_mcp/: Core package containing the modular functionality
    • mcp_server.py: Package version of the server implementation
    • utils.py: Utility functions for formatting responses and GraphQL queries
  • run_server.py: Entry point for running the server using the package version

The server uses asynchronous programming with Python's asyncio and httpx libraries for efficient API communication. GraphQL queries and mutations are defined as constants, making them easy to maintain and update.

Future Enhancements

Planned future developments include:

  • Additional Hashnode features (comments, series, newsletters)
  • Analytics integration
  • Content optimization
  • Multi-user support
  • Webhook support

Acknowledgments

Comments

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From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.