facebook-mcp-server
Facebook MCP server for automating posts, comment moderation, insights, and sentiment filtering.
- • Basic MCP protocol features implemented (17/40)
- • Room for improvement in GitHub community
- • Optimal dependency management (20/20)
- • Room for improvement in deployment maturity
- • Documentation (8/8)
- • Archestra MCP Trust score badge is missing
{
"mcpServers": {
"FacebookMCP": {
"command": "uv",
"args": [
"run",
"--with",
"mcp[cli]",
"--with",
"requests",
"mcp",
"run",
"/path/to/facebook-mcp-server/server.py"
],
"env": {}
}
}
}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 🎉
[](https://archestra.ai/mcp-catalog/hagaihen__facebook-mcp-server)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 🎉