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.

Category
访问服务器

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

推荐服务器

Baidu Map

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。

官方
精选
JavaScript
Playwright MCP Server

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。

官方
精选
TypeScript
Magic Component Platform (MCP)

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。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

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。

官方
精选
本地
TypeScript
VeyraX

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。

官方
精选
本地
graphlit-mcp-server

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。

官方
精选
TypeScript
Kagi MCP Server

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。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

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。

官方
精选