pulsemcp scanned Safe content atomic mcp-remote

Facebook Pages Manager

The Facebook MCP server provides AI assistants with direct access to Facebook Page management capabilities through the Graph API. This Python implementation offers tools for creating and managing posts, handling comments, monitoring engagement metrics, and analyzing post performance through detailed insights. The server exposes a comprehensive set of functions for content moderation, including the ability to filter negative comments based on keywords and delete problematic content. Built with FastMCP and structured around a clean API abstraction layer, it enables seamless interaction with Facebook Pages without context switching, making it particularly valuable for social media managers who need to monitor engagement, respond to comments, and analyze post performance metrics through natural language interactions.

Cognium trust score

65%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: social-media
Source: PulseMCP
Repository: github.com/hagaihen/facebook-mcp-server
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve Facebook Pages Manager from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"