README.md•6.04 kB
# 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.
[](https://archestra.ai/mcp-catalog/hagaihen__facebook-mcp-server)
<a href="https://glama.ai/mcp/servers/@HagaiHen/facebook-mcp-server">
<img width="380" height="200" src="https://glama.ai/mcp/servers/@HagaiHen/facebook-mcp-server/badge" />
</a>
---
## 🤖 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
```bash
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:
```bash
curl -Ls https://astral.sh/uv/install.sh | bash
```
Once uv is installed, install the project dependencies:
```bash
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
```bash
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:
```bash
"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 🎉