Facebook Mcp Server
Integrates with Facebook Pages to enable direct management of posts, comments, and engagement metrics through the Graph API for streamlined social media management.
by HagaiHen
Docs & Usage Guide
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. |
hide_comment |
Hide a comment from public view. |
unhide_comment |
Unhide a previously hidden comment. |
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. |
get_post_reactions_breakdown |
Get all reaction counts for a post in one call. |
bulk_delete_comments |
Delete multiple comments by ID. |
bulk_hide_comments |
Hide multiple comments by ID. |
🚀 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:
- Open Clade.
- Go to Settings → Developer → Edit Config.
- 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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