Publora MVP MCP Server

Publora MVP MCP Server

Enables AI agents to create, schedule, and manage social media posts across 10 platforms via a unified API.

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README

Publora MVP - Open Source Social Media Automation

A fully-functional open-source clone of Publora - the AI-powered social media management platform. Post to 10 platforms with a unified API and MCP server for AI agent integration.

Platforms License Node.js

Features

Multi-Platform Support

Platform Posts Media Notes
LinkedIn 3,000 chars Images, Video, Documents @mentions, auto-threading
X/Twitter 280 chars Images, Video Auto-threading for long content
Instagram 2,200 chars Images, Video, Reels Business account required
Threads 500 chars Images, Video Auto-threading
TikTok 2,200 chars Video only Privacy controls
YouTube 5,000 desc Video only Privacy settings
Facebook 63,206 chars Images, Video Pages only
Bluesky 300 chars Images, Video Rich text facets
Mastodon 500 chars Images, Video Fediverse
Telegram 4,096 chars Images, Video Markdown support

Core Capabilities

  • Post Scheduling: Schedule posts for future publication
  • Multi-Platform Posting: Post to multiple platforms simultaneously
  • Media Uploads: Image and video upload with presigned URLs
  • Analytics: LinkedIn post and account statistics
  • Engagement: React and comment on LinkedIn posts
  • MCP Server: AI agent integration via Model Context Protocol

Quick Start

Installation

# Clone the repository
git clone https://github.com/paisabrazilfl-cpu/publora-mvp.git
cd publora-mvp

# Install dependencies
npm install

# Start the server
npm start

Configuration

Set environment variables:

export PUBLORA_API_KEY=your_api_key_here
export PUBLORA_API_URL=https://api.publora.com/api/v1
export PORT=3000

Or create a .env file:

PUBLORA_API_KEY=your_api_key_here
PUBLORA_API_URL=https://api.publora.com/api/v1
PORT=3000

Running

# Development mode
npm run dev

# Production
npm start

API Usage

REST API

List Connected Platforms

curl -X GET "http://localhost:3000/api/v1/platform-connections" \
  -H "x-publora-key: your_api_key"

Create a Post

curl -X POST "http://localhost:3000/api/v1/create-post" \
  -H "x-publora-key: your_api_key" \
  -H "Content-Type: application/json" \
  -d '{
    "content": "Hello from Publora MVP!",
    "platforms": ["linkedin-abc123"],
    "scheduledTime": "2026-06-05T10:00:00Z"
  }'

Get Posts

curl -X GET "http://localhost:3000/api/v1/posts?status=scheduled" \
  -H "x-publora-key: your_api_key"

MCP Server

The MCP server provides AI agent tool access. Configure your Claude Desktop:

{
  "mcpServers": {
    "publora-mvp": {
      "type": "http",
      "url": "http://localhost:3000/mcp",
      "headers": {
        "Authorization": "Bearer your_api_key"
      }
    }
  }
}

MCP Tools

Tool Description
list_posts List posts with filters
create_post Create/schedule a post
get_post Get post details
update_post Reschedule or change status
delete_post Delete a post
get_upload_url Get presigned media URL
list_connections List connected platforms
linkedin_post_stats Get LinkedIn analytics
linkedin_create_reaction React to LinkedIn post
linkedin_create_comment Comment on LinkedIn post

Platform Limits

Platform Characters Images Video Size Video Duration
LinkedIn 3,000 10 500 MB 30 min
X/Twitter 280 4 512 MB 2 min
Instagram 2,200 10 300 MB 15 min (Reels)
Threads 500 10 500 MB 5 min
TikTok 2,200 - 4 GB 10 min
YouTube 5,000 - 512 MB 12 hours
Facebook 63,206 10 512 MB 45 min
Bluesky 300 4 100 MB 3 min
Mastodon 500 4 ~99 MB ~3 min
Telegram 4,096 10 50 MB -

Architecture

publora-mvp/
├── src/
│   ├── index.js          # Main Express server
│   ├── api/
│   │   └── publora.js    # API client
│   ├── mcp/
│   │   └── server.js     # MCP server implementation
│   ├── platforms/
│   │   ├── manager.js    # Platform configuration
│   │   └── adapters.js   # Platform-specific adapters
│   └── utils/
│       └── helpers.js    # Utility functions
├── public/
│   └── index.html        # Web UI
├── tests/
├── package.json
└── README.md

Deployment

Docker

FROM node:20-alpine
WORKDIR /app
COPY package*.json ./
RUN npm install --production
COPY . .
EXPOSE 3000
CMD ["npm", "start"]

Render

# Connect your GitHub repo to Render
# Set environment variables:
# PUBLORA_API_KEY=your_key
# PORT=10000

Differences from Original Publora

This MVP provides:

  • ✅ REST API with same endpoints
  • ✅ MCP server for AI agents
  • ✅ Platform validation and limits
  • ✅ Post scheduling
  • ✅ Media upload handling
  • ✅ LinkedIn analytics
  • ⚠️ Uses mock data when real API unavailable
  • ⚠️ OAuth flows not implemented (use real Publora for auth)

License

MIT License - See LICENSE for details.

Credits

Original Publora: publora.com

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