This project is a Model Context Protocol (MCP) server for automating and managing interactions on a Facebook Page using the Facebook Graph API. It provides tools to create posts, moderate comments…
facebook-mcp-server is an MCP project maintained in the livia-zaharia/facebook-mcp-server repository. The maintainer describes its purpose as “This project is a Model Context Protocol (MCP) server for automating and managing interactions on a Facebook Page using the Facebook Graph API. It provides…”. Read the project documentation for the complete scope.
The documented pypi package is just_facebook_mcp. The configuration below comes from the maintainer’s example; adapt its paths and account values to your environment.
The example declares FACEBOOK_ACCESS_TOKEN, FACEBOOK_PAGE_ID. Secret-looking values have been replaced with placeholders. Required and optional labels are shown only when the documentation states them.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
{
"mcpServers": {
"just_facebook_mcp": {
"command": "uvx",
"args": [
"just_facebook_mcp"
],
"env": {
"FACEBOOK_ACCESS_TOKEN": "YOUR_FACEBOOK_ACCESS_TOKEN",
"FACEBOOK_PAGE_ID": "<put_your_page_id_here>"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| FACEBOOK_ACCESS_TOKEN | Declared in the maintainer’s client configuration. | Check documentation |
| FACEBOOK_PAGE_ID | Declared in the maintainer’s client configuration. | Check documentation |
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Put 6,000+ pre-built scrapers at your assistant's fingertips through one MCP endpoint.
Fetches and analyzes content from Reddit, providing access to hot threads and post details.
Enables interaction with X (formerly Twitter) for retrieving tweets, creating new posts, and replying to existing ones.
Automates LinkedIn interactions and extracts data through browser automation, respecting terms of service and rate limits.
Automates SEO tasks and provides AI-powered optimization by integrating with the Google Ads Keyword Planner API.