# FBEM

> Use this tool when you need to integrate Facebook posting capabilities into your AI workflow, enabling the automated upload of Reels and Photos to Facebook. It solves the problem of limited API access by capturing and replaying the native web API through a Chrome extension, providing a seamless interface for AI agents to post content. Ideal for use cases requiring automated Facebook content publishing, it accepts content inputs and outputs posted content links.

Canonical page: https://skillsregistry.net/skills/crisng95-fbem  
JSON: https://api.skillsregistry.net/v1/skills/crisng95-fbem

## Description

An MCP server that enables AI agents to post Reels and Photos to Facebook by capturing and replaying the native web API through a Chrome extension.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tiue1jk3t0)
- **Repository:** <https://github.com/crisng95/fbem>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

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

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "crisng95-fbem"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/crisng95-fbem` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/crisng95-fbem/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt