Publora MVP MCP Server
Enables AI agents to create, schedule, and manage social media posts across 10 platforms via a unified API.
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.
Features
Multi-Platform Support
| Platform | Posts | Media | Notes |
|---|---|---|---|
| 3,000 chars | Images, Video, Documents | @mentions, auto-threading | |
| X/Twitter | 280 chars | Images, Video | Auto-threading for long content |
| 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 |
| 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 |
|---|---|---|---|---|
| 3,000 | 10 | 500 MB | 30 min | |
| X/Twitter | 280 | 4 | 512 MB | 2 min |
| 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 |
| 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
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。