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MCP unreviewed MIT Self-run

Facebook Mcp Server

mcp-hagaihen-facebook-mcp-server · by HagaiHen

Facebook MCP server for automating posts, comment moderation, insights, and sentiment filtering.

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Install

$ agentstack add mcp-hagaihen-facebook-mcp-server

Open-source listing, not yet scanned by AgentStack. Follow the source repository for install instructions.

Security review

⚠ Flagged

1 finding(s); flagged for manual review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures
  • high Pipes remote content directly into a shell (remote code execution).

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Reliability & compatibility

Not yet reviewed
0 installs to date
no reviews yet
3mo ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

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)


🤖 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. | | bulk_unhide_comments | Unhide multiple comments by ID. | | get_comment_replies | Get all replies to a specific comment. | | get_post_permalink | Get the permalink URL of a post. | | get_scheduled_posts | List all scheduled (unpublished) posts on the Page. | | get_page_info | Get extended Page details (name, about, category, website). |


🚀 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:

  1. Open Clade.
  2. Go to Settings → Developer → Edit Config.
  3. 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 🎉

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.