Facebook MCP Server

This project is a MCP server for automating and managing interactions on a Facebook Page using the Facebook Graph API. It exposes tools to create posts, moderate comments, fetch post insights, and filter negative feedback — ready to plug into Claude, or other LLM-based agents.

🤖 What Is This?

This MCP provides a suite of AI-callable tools that connect directly to a Facebook Page, abstracting common API operations as LLM-friendly functions.

✅ Benefits

• Empowers social media managers to automate moderation and analytics.

• Seamlessly integrates with Claude Desktop or any Agent client.

• Enables fine-grained control over Facebook content from natural language.

Related MCP server: Just Facebook MCP Server

📦 Features

🚀 Setup & Installation

1. Clone the Repository

git clone https://github.com/your-org/facebook-mcp-server.git
cd facebook-mcp-server

2. 🛠️ Installation

Install dependencies using uv, a fast Python package manager: If uv is not already installed, run:

curl -Ls https://astral.sh/uv/install.sh | bash

Once uv is installed, install the project dependencies:

uv pip install -r requirements.txt

3. Set Up Environment

Create a .env file in the root directory and add your Facebook Page credentials. You can obtain these from https://developers.facebook.com/tools/explorer

FACEBOOK_ACCESS_TOKEN=your_facebook_page_access_token
FACEBOOK_PAGE_ID=your_page_id

🧩 Using with Claude Desktop

To set up the FacebookMCP in Clade:

1. Open Clade.

2. Go to Settings → Developer → Edit Config.

3. In the config file that opens, add the following entry:

"FacebookMCP": {
  "command": "uv",
  "args": [
    "run",
    "--with",
    "mcp[cli]",
    "--with",
    "requests",
    "mcp",
    "run",
    "/path/to/facebook-mcp-server/server.py"
  ]
}

✅ You’re Ready to Go!

That’s it — your Facebook MCP server is now fully configured and ready to power Claude Desktop. You can now post, moderate, and measure engagement all through natural language prompts!

🤝 Contributing

Contributions, issues, and feature requests are welcome!
Feel free to fork the repo and submit a pull request.

• Create a branch: git checkout -b feature/YourFeature

• Commit your changes: git commit -m 'feat: add new feature'

• Push to the branch: git push origin feature/YourFeature

• Open a pull request 🎉