facebook-mcp-server
The Facebook MCP Server is designed to facilitate automation and management of interactions on Facebook Pages using natural language prompts. It empowers social media managers with tools for creating content, moderating interactions, and analyzing insights while seamlessly integrating with AI solutions like Claude.
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 β ready to plug into Claude, or other LLM-based agents.
π€ 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.
β 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.
π¦ 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. |
π Setup & Installation
1. Clone the Repository
git clone https://github.com/your-org/facebook-mcp-server.git
cd facebook-mcp-server
2. π οΈ 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
π§© Using with Claude Desktop
To set up the FacebookMCP in Clade:
- Open Clade.
- Go to Settings β Developer β 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"
]
}
β Youβre Ready to Go!
Thatβs it β 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!
π€ 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 π