Publora MCP Server

Publora MCP Server

Official MCP server for Publora that enables AI assistants to schedule posts, manage accounts, and retrieve analytics across multiple social media platforms through natural language.

Category
访问服务器

README

Publora MCP Server

Official Model Context Protocol (MCP) server for Publora — control your social media scheduling directly from AI assistants like Claude, Cursor, and any MCP-compatible client.

No coding required. Just describe what you want in plain English:

"Schedule a LinkedIn post for tomorrow at 9am" "How did my last post perform?" "Post this to Twitter and LinkedIn"

Quick Start

Remote Server (Recommended)

Publora hosts an MCP server at mcp.publora.com — no installation needed.

1. Get your API key at publora.com → Settings → API

2. Add to your MCP client:

{
  "mcpServers": {
    "publora": {
      "type": "http",
      "url": "https://mcp.publora.com",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

3. Restart your client and start talking to your AI about social media!


Client Setup

<details> <summary><b>Claude Code (CLI)</b></summary>

Edit ~/.claude.json or create .mcp.json in your project:

{
  "mcpServers": {
    "publora": {
      "type": "http",
      "url": "https://mcp.publora.com",
      "headers": {
        "Authorization": "Bearer sk_YOUR_API_KEY"
      }
    }
  }
}

Restart Claude Code. Verify with /mcp command. </details>

<details> <summary><b>Claude Desktop</b></summary>

  1. Open Claude Desktop → SettingsDeveloperEdit Config
  2. Add the Publora server (same JSON as above)
  3. Restart Claude Desktop </details>

<details> <summary><b>Cursor</b></summary>

Create .cursor/mcp.json in your project:

{
  "mcpServers": {
    "publora": {
      "type": "http",
      "url": "https://mcp.publora.com",
      "headers": {
        "Authorization": "Bearer sk_YOUR_API_KEY"
      }
    }
  }
}

</details>

<details> <summary><b>Local Development</b></summary>

Run your own instance:

git clone https://github.com/publora/mcp-server.git
cd mcp-server
npm install
PUBLORA_API_URL=https://api.publora.com npm start

Server runs on http://localhost:3100 </details>


Available Tools (18)

Posts

Tool Description
list_posts List posts with filters (status, platform, dates)
create_post Schedule a post to one or more platforms
get_post Get post details and status
update_post Reschedule or change status
delete_post Delete a post
get_upload_url Get presigned URL for media upload

Connections

Tool Description
list_connections List connected social accounts

LinkedIn Analytics

Tool Description
linkedin_post_stats Post engagement metrics
linkedin_account_stats Account-level statistics
linkedin_followers Follower count and growth
linkedin_profile_summary Combined profile overview
linkedin_create_reaction React to a post
linkedin_delete_reaction Remove a reaction
linkedin_create_comment Post a comment on a LinkedIn post
linkedin_delete_comment Delete a comment

Workspace (B2B)

Tool Description
list_workspace_users List team members
create_workspace_user Add a user
workspace_detach_user Remove a user

Example Conversations

Schedule a post:

You: Schedule "Excited about our product launch!" to LinkedIn for tomorrow 9am AI: Done! Post scheduled for tomorrow at 9am EST.

Cross-platform posting:

You: Post "We're hiring!" to all my accounts AI: Published to Twitter, LinkedIn, and Bluesky.

Check analytics:

You: How did my LinkedIn posts perform this week? AI: 5 posts, 4,230 impressions, 89 reactions. Best: Monday's update (1,850 impressions).

Content calendar:

You: What do I have scheduled for next week? AI: 5 posts: Mon LinkedIn, Tue Twitter+LinkedIn, Wed LinkedIn...


Who Is This For?

  • Marketers — manage campaigns and check analytics via AI chat
  • Content creators — schedule posts without switching apps
  • Business owners — delegate social media tasks to AI
  • Developers — integrate Publora into AI-powered workflows

Supported Platforms

Twitter/X · LinkedIn · Instagram · Threads · TikTok · YouTube · Facebook · Bluesky · Mastodon · Telegram


Authentication

Use your Publora API key via:

  • Authorization: Bearer sk_... (recommended)
  • x-publora-key: sk_...

Get your key: publora.com → Settings → API


Verification

# Health check
curl https://mcp.publora.com/health

# Test MCP handshake
curl -X POST https://mcp.publora.com \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "Authorization: Bearer sk_YOUR_API_KEY" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"test","version":"1.0.0"}}}'

Documentation


Development

# Install
npm install

# Run locally
PUBLORA_API_URL=https://api.publora.com npm start

# Run tests
npm test

Environment Variables

Variable Default Description
PORT 3100 Server port
PUBLORA_API_URL https://api.publora.com Backend API URL

Related


License

MIT


Publora — Affordable social media API starting at $5.40/month

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