BlogPublisher

BlogPublisher

Multi-platform blog publishing tool that enables users to save, schedule, and publish SEO-optimized articles to platforms like websites, LinkedIn, Twitter, and Substack directly from Claude.

Category
Visit Server

README

BlogPublisher

Multi-platform blog publishing system that integrates with ResearchAgent for automated content distribution.

Overview

BlogPublisher receives SEO-optimized articles from ResearchAgent and publishes them to multiple platforms:

  • Personal website blog
  • LinkedIn
  • Twitter/X (as threads)
  • Substack (email newsletter)
  • Facebook (planned)
  • Instagram (planned)

Architecture

ResearchAgent (SEO writing) → BlogPublisher (distribution) → Multiple Platforms

Features

Article Management

  • Save articles with SEO metadata
  • Draft/scheduled/published status tracking
  • PostgreSQL storage

Multi-Platform Publishing

  • Publish to 4+ platforms simultaneously
  • Platform-specific content formatting
  • Publication tracking and analytics

Scheduling

  • Schedule posts for future publication
  • Automated cron-based publishing
  • Retry logic for failures

MCP Integration

  • 7 MCP tools for Claude Desktop
  • Seamless integration with ResearchAgent
  • Single conversation workflow

Quick Start

1. Prerequisites

  • Python 3.10+
  • PostgreSQL 14+
  • Platform API credentials (see API Setup below)

2. Installation

cd ~/1_REPOS/BlogPublisher

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Setup environment
cp .env.example .env
# Edit .env with your credentials

3. Database Setup

# Create PostgreSQL database
createdb blogpublisher

# Update DATABASE_URL in .env
DATABASE_URL=postgresql://user:password@localhost:5432/blogpublisher

# Initialize database (tables auto-created on first run)
python backend/app.py  # Runs migrations

4. Claude Desktop Configuration

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "research-agent": {
      "command": "python",
      "args": ["/Users/tmac/1_REPOS/ResearchAgent/backend/mcp_server.py"]
    },
    "blogpublisher": {
      "command": "python",
      "args": ["/Users/tmac/1_REPOS/BlogPublisher/backend/mcp_server.py"],
      "env": {
        "DATABASE_URL": "postgresql://localhost:5432/blogpublisher"
      }
    }
  }
}

Restart Claude Desktop.

Usage

Daily Blogging Workflow

In Claude Desktop:

1. "Write SEO article about [topic]"
   → ResearchAgent creates optimized article

2. "Save this article to BlogPublisher"
   → Returns article_id

3. "Publish to website and LinkedIn immediately"
   → Publishes to both platforms

4. "Schedule Twitter thread for tomorrow at 10 AM"
   → Queues Twitter publication

MCP Tools

save_article

{
  "title": "Article Title",
  "content": "Markdown content...",
  "summary": "Brief summary",
  "keywords": ["seo", "keywords"],
  "seo_score": {"score": 85}
}

Returns: article_id

publish_article

{
  "article_id": "uuid",
  "platforms": ["website", "linkedin", "twitter", "substack"]
}

Returns: Publication results per platform

schedule_article

{
  "article_id": "uuid",
  "platforms": ["linkedin", "twitter"],
  "publish_time": "tomorrow at 6 AM"
}

Returns: Schedule confirmation

get_article

{
  "article_id": "uuid"
}

Returns: Full article with publication status

list_articles

{
  "status": "published",
  "limit": 10
}

Returns: List of articles

format_for_platform

{
  "article_id": "uuid",
  "platform": "twitter"
}

Returns: Platform-optimized content

generate_social_posts

{
  "article_id": "uuid"
}

Returns: Social media variants for all platforms

API Setup

Required Credentials

Website Blog

  • WEBSITE_API_URL: Your blog API endpoint
  • WEBSITE_API_KEY: API authentication key

LinkedIn

  1. Create LinkedIn App: https://www.linkedin.com/developers/apps
  2. Get OAuth 2.0 access token
  3. Set LINKEDIN_ACCESS_TOKEN

Twitter/X

  1. Create Twitter Developer account: https://developer.twitter.com
  2. Create App and get API keys
  3. Set:
    • TWITTER_API_KEY
    • TWITTER_API_SECRET
    • TWITTER_ACCESS_TOKEN
    • TWITTER_ACCESS_SECRET

Substack

  1. Get Substack API credentials from your publication settings
  2. Set:
    • SUBSTACK_API_KEY
    • SUBSTACK_PUBLICATION_ID

Optional: Facebook & Instagram

  • FACEBOOK_ACCESS_TOKEN
  • FACEBOOK_PAGE_ID
  • INSTAGRAM_USERNAME
  • INSTAGRAM_PASSWORD

Platform-Specific Formatting

LinkedIn

  • First 3 sentences as hook
  • Professional tone
  • 1-3 hashtags
  • Link at end

Twitter/X

  • Converts to thread (280 chars/tweet)
  • Numbered tweets (1/N)
  • Link in last tweet
  • Key points extracted

Substack

  • Full article as HTML email
  • Subject line from title
  • Preview text from summary
  • Created as draft (manual publish)

Website

  • Markdown to HTML conversion
  • SEO frontmatter
  • Categories/tags
  • Featured image support

Automation

Scheduler (Cron Jobs)

Start the scheduler:

python backend/scheduler/cron.py

Or run as background service:

# Using systemd (Linux)
sudo systemctl enable blogpublisher-scheduler
sudo systemctl start blogpublisher-scheduler

# Using launchd (macOS)
# See docs/deployment/macos-launchd.md

The scheduler runs every minute and publishes any pending scheduled posts.

REST API

Optional REST API for programmatic access:

# Start API server
python backend/app.py
# Runs on http://localhost:8001

# API docs
open http://localhost:8001/docs

Endpoints

  • POST /articles - Create article
  • GET /articles - List articles
  • GET /articles/{id} - Get article
  • GET /health - Health check

Development

Project Structure

BlogPublisher/
├── backend/
│   ├── database/
│   │   ├── models.py      # SQLAlchemy models
│   │   └── db.py          # Database connection
│   ├── publishers/
│   │   ├── base.py        # Abstract publisher
│   │   ├── website.py     # Website publisher
│   │   ├── linkedin.py    # LinkedIn publisher
│   │   ├── twitter.py     # Twitter publisher
│   │   └── substack.py    # Substack publisher
│   ├── scheduler/
│   │   └── cron.py        # Automated publishing
│   ├── mcp_server.py      # MCP integration
│   └── app.py             # FastAPI server
├── data/
│   ├── articles/          # Article storage
│   └── media/             # Images
├── requirements.txt
├── .env.example
└── README.md

Adding New Platforms

  1. Create publisher class in backend/publishers/yourplatform.py
  2. Inherit from BasePublisher
  3. Implement required methods:
    • validate_config()
    • format_content()
    • publish()
  4. Add to Platform enum in models.py
  5. Update get_publisher() in mcp_server.py and cron.py

Example:

from .base import BasePublisher

class NewPlatformPublisher(BasePublisher):
    def validate_config(self):
        if "api_key" not in self.config:
            raise ValueError("Missing api_key")

    def format_content(self, content, metadata=None):
        # Platform-specific formatting
        return formatted_content

    def publish(self, title, content, metadata=None):
        # API call to publish
        return {
            "success": True,
            "post_id": "...",
            "url": "..."
        }

Troubleshooting

Database Connection Issues

# Check PostgreSQL is running
pg_isready

# Test connection
psql -U user -d blogpublisher

MCP Tools Not Showing

  1. Check Claude Desktop config file location
  2. Verify Python path in config
  3. Restart Claude Desktop
  4. Check logs: ~/Library/Logs/Claude/mcp.log

Publishing Failures

Check platform API credentials:

# Test LinkedIn token
curl -H "Authorization: Bearer $LINKEDIN_ACCESS_TOKEN" \
  https://api.linkedin.com/v2/me

# Test Twitter credentials
# Use backend/publishers/test_publisher.py

Testing

# Test database
python backend/database/db.py

# Test publishers
python backend/publishers/test_publisher.py

# Test MCP tools (requires running server)
python backend/mcp_server.py

Roadmap

  • [x] Core article storage
  • [x] Website/LinkedIn/Twitter/Substack publishers
  • [x] MCP integration
  • [x] Scheduling system
  • [ ] Facebook & Instagram publishers
  • [ ] Analytics dashboard
  • [ ] Content calendar UI
  • [ ] Image optimization
  • [ ] Link shortening
  • [ ] A/B testing
  • [ ] Performance metrics

License

MIT

Support

For issues or questions:

  • Create GitHub issue
  • Check documentation in /docs
  • See ResearchAgent integration guide

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured