PostMCP AI Model Context Protocol (MCP) Server

Official PostMCP AI Model Context Protocol (MCP) Server. Connect your social media publishing pipelines directly into AI assistants, desktop applications, IDE workflows, and web environments like Claude Desktop, Claude.ai, Cursor, and ChatGPT Custom GPTs.

Supported platforms include LinkedIn, X (Twitter), Facebook, Instagram, Threads, and Bluesky.

🚀 Features & Capabilities

• 🤖 7 Built-in Tools: Retrieve user profiles, list connected accounts, view post queues, create/schedule posts, publish immediately, edit posts, and delete scheduled posts.

• ⚡ Dual Transport Modes: Native Stdio mode (for local desktop apps & IDEs) and Streamable HTTP mode (for web services, Claude.ai, and remote connectors).

• 🔑 Flexible Authentication: Auto-detects API key from environment variables (POSTMCPAI_API_KEY), URL query parameters (?apikey=YOUR_KEY), or HTTP authorization headers (x-api-key, Bearer token).

• 🤖 ChatGPT Actions Compatible: Includes built-in OpenAPI 3.0 specification generator (/openapi.json) and REST endpoints (/api/tools/:name) for ChatGPT Custom GPT integration.

• 🔒 OAuth 2.0 & RFC 9728 Support: Advertises PKCE authorization server metadata for seamless dynamic client registration with Claude.ai.

📁 Repository Architecture

mcp-server/
├── bin/
│   └── cli.js            # Executable CLI entry point (Stdio / HTTP mode runner)
├── src/
│   ├── config.js         # Centralized configuration & environment loader
│   ├── client.js         # Backend API client & API key extraction logic
│   ├── tools/
│   │   ├── definitions.js# MCP tool JSON schemas & parameter specifications
│   │   ├── handlers.js   # MCP tool execution handlers
│   │   └── index.js      # Tool definitions aggregator
│   ├── server.js         # MCP Server instance factory
│   ├── routes/
│   │   ├── oauth.js      # OAuth 2.0 & RFC 9728 discovery endpoints
│   │   ├── openapi.js    # OpenAPI 3.0 schema & ChatGPT REST endpoints
│   │   ├── mcpHttp.js    # MCP Streamable HTTP transport (/mcp)
│   │   └── health.js     # Health check & system metadata endpoints
│   ├── app.js            # Express application factory
│   └── index.js          # Main library entry point
├── index.js              # Executable wrapper script
├── package.json
└── README.md

⚙️ Environment Configuration

🛠️ MCP Tools Reference

💻 Client Integration Guides

1. Claude Desktop App (Stdio Mode)

Add the configuration below to your Claude Desktop config file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

• Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "postmcpai": {
      "command": "npx",
      "args": ["-y", "@postmcpai/server"],
      "env": {
        "POSTMCPAI_API_KEY": "pmcp_sec_your_secret_api_key_here",
        "POSTMCPAI_API_URL": "http://localhost:5023"
      }
    }
  }
}

2. Cursor IDE

1. Open Cursor Settings -> Features -> MCP.

2. Click + Add New MCP Server.

3. Fill in the details:

   • Name: postmcpai

   • Type: command

   • Command: npx -y @postmcpai/server

4. Under Environment Variables, add:

   • POSTMCPAI_API_KEY = pmcp_sec_your_secret_api_key_here

   • POSTMCPAI_API_URL = http://localhost:5023

5. Click Save.

3. Claude.ai & Remote Web Connectors (Streamable HTTP / SSE Mode)

Host this server on any cloud service (Render, Railway, Fly.io, Vercel) or tunnel your local machine using ngrok.

Launching in HTTP Mode:

export POSTMCPAI_API_KEY="pmcp_sec_your_secret_api_key_here"
export POSTMCPAI_API_URL="https://your-backend-domain.com"
export PORT=3000

npm run start:sse

Connecting to Claude.ai:

1. Provide your public MCP URL with your API key attached: https://your-hosted-domain.com/mcp?apikey=pmcp_sec_your_secret_api_key_here

2. Claude.ai will discover tool capabilities via /mcp and authenticate seamlessly.

4. ChatGPT Custom GPTs (REST Actions)

1. When configuring a Custom GPT Action, specify your server URL (e.g. https://your-hosted-domain.com).

2. Import the OpenAPI schema directly from: https://your-hosted-domain.com/openapi.json

3. Set Authentication to API Key (Header Name: Authorization or x-api-key).

5. Programmatic Node.js Library Usage

You can also use @postmcpai/server as a library in your own Node.js backends:

import { createServer, createExpressApp, makeBackendRequest } from "@postmcpai/server";

// Create a standalone MCP Server instance
const mcpServer = createServer(() => process.env.POSTMCPAI_API_KEY);

// Or create an Express app with all remote routes attached
const app = createExpressApp();
app.listen(3000);

🧪 Local Testing & Development

# Clone the repository
git clone https://github.com/postmcpai/postmcp-mcp-server.git
cd postmcp-mcp-server

# Install dependencies
npm install

# Start in Stdio Mode
npm start

# Start in HTTP Mode with hot reload
npm run dev

📄 License

Distributed under the MIT License. Copyright © 2026 PostMCP AI.