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paisabrazilfl-cpu

Publora MVP MCP Server

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

F
license - not found
-
quality - not tested
C
maintenance

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