MCP ExplorerExplorer

Facebook Mcp Server

@HagaiHenon a year ago
10 MIT
FreeCommunity
AI Systems
Facebook MCP Server automates Facebook Page interactions using the Graph API.

Overview

What is Facebook Mcp Server

facebook-mcp-server is an MCP server designed for automating and managing interactions on a Facebook Page using the Facebook Graph API. It provides tools for creating posts, moderating comments, fetching post insights, and filtering negative feedback, making it compatible with AI agents like Claude.

Use cases

Use cases include automating the moderation of comments on a Facebook Page, generating insights on post performance, and managing user interactions efficiently through AI-driven commands.

How to use

To use facebook-mcp-server, connect it to your Facebook Page and utilize its API functions to automate tasks such as posting content, responding to comments, and analyzing engagement metrics through natural language commands.

Key features

Key features include the ability to create posts, reply to comments, retrieve recent posts, fetch comments on specific posts, delete posts and comments, filter negative comments, and count likes and comments on posts.

Where to use

facebook-mcp-server is primarily used in social media management, marketing, and customer engagement sectors, where automation of content interaction is essential.

Content

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.

📦 Features

Tool Description
post_to_facebook Create a new Facebook post with a message.
reply_to_comment Reply to a specific comment on a post.
get_page_posts Retrieve recent posts from the Page.
get_post_comments Fetch comments on a given post.
delete_post Delete a specific post by ID.
delete_comment Delete a specific comment by ID.
delete_comment_from_post Alias for deleting a comment from a specific post.
filter_negative_comments Filter out comments with negative sentiment keywords.
get_number_of_comments Count the number of comments on a post.
get_number_of_likes Count the number of likes on a post.
get_post_impressions Get total impressions on a post.
get_post_impressions_unique Get number of unique users who saw the post.
get_post_impressions_paid Get number of paid impressions on the post.
get_post_impressions_organic Get number of organic impressions on the post.
get_post_engaged_users Get number of users who engaged with the post.
get_post_clicks Get number of clicks on the post.
get_post_reactions_like_total Get total number of ‘Like’ reactions.
get_post_top_commenters Get the top commenters on a post.
post_image_to_facebook Post an image with a caption to the Facebook page.
send_dm_to_user Send a direct message to a user.
update_post Updates an existing post’s message.
schedule_post Schedule a post for future publication.
get_page_fan_count Retrieve the total number of Page fans.
get_post_share_count Get the number of shares on a post.

🚀 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 🎉

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