Panniantong/Agent-Reach
Agent Reach gives AI agents the ability to access and interact with the entire internet, including popular platforms like Twitter, Reddit, YouTube, GitHub, and Bilibili, without API fees, enhancing...
Awesome MCP › Social & Messaging
HagaiHen/facebook-mcp-server
facebook-mcp-server is a Model Context Protocol server written in Python that wraps the Facebook Graph API so that an LLM agent can manage a Facebook Page through natural language. It exposes roughly three dozen tools grouped around three jobs: publishing, moderation and analytics. Publishing tools cover creating a text post, posting an image with a caption, updating an existing post, scheduling a post for later, listing scheduled but unpublished posts, deleting a post and retrieving a post permalink. Moderation tools cover replying to a comment, hiding and unhiding comments, deleting comments individually or in bulk, hiding and unhiding comments in bulk, reading replies to a comment and filtering comments that contain negative sentiment keywords. Analytics tools return counts of likes, comments and shares, a full reaction breakdown, total impressions, unique impressions, paid and organic impressions, engaged users, post clicks, top commenters, Page fan count and extended Page details such as name, about text, category and website. The server can also send a direct message to a user. Configuration is a Facebook Page access token and a Page ID supplied through a .env file; the token is obtained from the Facebook Graph API Explorer. Dependencies are installed with uv, and the project documents a Claude Desktop config entry that runs server.py through the mcp CLI, though the README states it works with any MCP-compatible agent client. The intended audience is social media managers and developers who want to automate Page moderation and reporting from an assistant instead of the Graph API directly, and anyone building agent workflows over Facebook Page data.
https://github.com/HagaiHen/facebook-mcp-server
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