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.
Author:@HagaiHen
Updated at:

Social Media

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 โ€” ready to plug into Claude, or other LLM-based agents.


๐Ÿค– 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.

โœ… 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.

๐Ÿ“ฆ Features

ToolDescription
post_to_facebookCreate a new Facebook post with a message.
reply_to_commentReply to a specific comment on a post.
get_page_postsRetrieve recent posts from the Page.
get_post_commentsFetch comments on a given post.
delete_postDelete a specific post by ID.
delete_commentDelete a specific comment by ID.
hide_commentHide a comment from public view.
unhide_commentUnhide a previously hidden comment.
delete_comment_from_postAlias for deleting a comment from a specific post.
filter_negative_commentsFilter out comments with negative sentiment keywords.
get_number_of_commentsCount the number of comments on a post.
get_number_of_likesCount the number of likes on a post.
get_post_impressionsGet total impressions on a post.
get_post_impressions_uniqueGet number of unique users who saw the post.
get_post_impressions_paidGet number of paid impressions on the post.
get_post_impressions_organicGet number of organic impressions on the post.
get_post_engaged_usersGet number of users who engaged with the post.
get_post_clicksGet number of clicks on the post.
get_post_reactions_like_totalGet total number of 'Like' reactions.
get_post_top_commentersGet the top commenters on a post.
post_image_to_facebookPost an image with a caption to the Facebook page.
send_dm_to_userSend a direct message to a user.
update_postUpdates an existing post's message.
schedule_postSchedule a post for future publication.
get_page_fan_countRetrieve the total number of Page fans.
get_post_share_countGet the number of shares on a post.
get_post_reactions_breakdownGet all reaction counts for a post in one call.
bulk_delete_commentsDelete multiple comments by ID.
bulk_hide_commentsHide multiple comments by ID.

๐Ÿš€ Setup & Installation

1. Clone the Repository

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

2. ๐Ÿ› ๏ธ 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

๐Ÿงฉ Using with Claude Desktop

To set up the FacebookMCP in Clade:

  1. Open Clade.
  2. Go to Settings โ†’ Developer โ†’ 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"
  ]
}

โœ… Youโ€™re Ready to Go!

Thatโ€™s it โ€” 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!


๐Ÿค 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 ๐ŸŽ‰
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