FBEM

FBEM

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.

Category
Visit Server

README

FBEM — Facebook Extension Crawler + MCP

Crawl/snapshot Facebook's native composer web API and publish Reels / Photos through a Chrome extension — exposed to any agent as an MCP server.

FBEM drives the same internal web API a logged-in human uses on facebook.com (NOT the Graph API, which suppresses reach on API-published posts). It learns the exact upload shape by passively snapshotting the requests you make by hand, then replays that template with fresh media + fresh volatile tokens — so it is self-healing and needs no reverse-engineering when Facebook rotates its payload.

Any MCP-capable agent (Claude Code / Claude Desktop / Cursor / …) can plug in and call post_reel, post_photos, switch_profile, get_identity, health, and capture_status. Adding a new tool is one file — see CONTRIBUTING.md.

⚠️ Local tool, loopback-only. The bridge binds 127.0.0.1 and is unauthenticated by design. It runs on your machine against your logged-in browser session. Never expose it to a network. Use it only on accounts you own and in line with Facebook's terms.


Architecture

FBEM pipeline: AI Agent → MCP Server → Local Bridge → Chrome Extension → Facebook, with capture-once (manual post) → replay-many (automated)

  any MCP agent  (Claude Code / Desktop / Cursor / …)
       │  stdio  (MCP protocol)
       ▼
  fbem-mcp ──HTTP(loopback :47102)──► fbem-bridge ──WS(:9224)──► Chrome extension
  (FastMCP;                           (FastAPI +                  (crawler + replay,
   tools/ = one file per tool)         WS server)                  injected in-page)
                                                                       │ runs inside
                                                                       ▼
                                                                 facebook.com tab
                                                                 (your live session)
  • fbem-bridge (persistent) holds the WebSocket to the extension, serves media over loopback, and stores captured templates. Run it once; leave it up.
  • fbem-mcp (spawned by the agent) is a thin stdio layer that calls the bridge over HTTP. Because it's separate, every agent can spawn its own MCP process without fighting over the extension's WebSocket port.
  • Chrome extension has three jobs, all inside the page's own context:
    1. Crawler — monkeypatches fetch/XHR to passively snapshot the genuine native upload requests when you post by hand. Never blocks or mutates them.
    2. Tokens — scrapes fresh volatile tokens (fb_dtsg, lsd, jazoest, …).
    3. Replay — reproduces a captured template with new media + fresh tokens.

How it works: capture-then-replay

Replay is template-driven and only activates after one real capture per kind.

  1. Start the bridge and load the extension; open a logged-in facebook.com tab.
  2. Post one item by hand (a Reel, a photo/album, a page switch).
  3. The crawler snapshots the real requests (the rupload/photo upload + the ComposerStoryCreateMutation publish) and POSTs them to the bridge, which folds them into template.json.
  4. From then on, the matching MCP tool replays automatically — fresh video/photo, fresh tokens, same proven shape.

When Facebook rotates its payload and replay starts failing, just re-capture (repeat steps 2–3). No code change is ever required.

Quickstart

1. Install

git clone https://github.com/crisng95/fbem.git FBEM && cd FBEM
python3.11 -m venv .venv
.venv/bin/pip install -e .

2. Run the bridge (leave it running)

.venv/bin/fbem-bridge          # HTTP :47102 + WS :9224, loopback only

3. Load the Chrome extension

chrome://extensions → enable Developer modeLoad unpacked → select the extension/ directory. See extension/README.md. Keep a logged-in www.facebook.com tab open — replay runs inside it.

4. Seed a template (one manual post)

With everything running, post one Reel (and one photo/album) by hand. Confirm:

curl -s http://127.0.0.1:47102/api/health | python3 -m json.tool
# look for: extension_connected: true, has_template: true, has_photo_template: true

Already have captured templates elsewhere? Point the bridge at that captures directory and skip re-snapshotting entirely:

FBEM_CAPTURES_DIR=/path/to/existing/captures fbem-bridge

5. Plug the MCP into your agent

Claude Code:

claude mcp add fbem -- /abs/path/to/FBEM/.venv/bin/fbem-mcp

Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "fbem": { "command": "/abs/path/to/FBEM/.venv/bin/fbem-mcp" }
  }
}

Any MCP client: run the command fbem-mcp, transport stdio.

The agent can now call the tools below. (The bridge from step 2 must stay running.)

MCP tools

Tool What it does
post_reel Publish a Reel from a local .mp4. Args: video_path, caption, page_id?, scheduled_publish_time?.
post_photos Publish a photo (1 file) or album (N files) from local .jpg/.png. Args: image_paths[], caption, page_id?, scheduled_publish_time?.
switch_profile Switch the acting page/profile so later posts go out AS that page. Args: target_id.
get_identity Read which page/profile the tab currently posts AS (read-only).
health Bridge + extension health (connection, templates, tab TTL).
capture_status Crawler/snapshot status: what's captured, what's ready to post, and exactly what to (re)snapshot if not.

When do I need to (re)snapshot?

  • First run / a kind never captured → yes: post that kind once by hand.
  • Reel vs Photo vs Switch are separate templates → capturing a Reel does not enable photo posting; capture each kind once.
  • Already captured and working → no. Templates persist in FBEM_CAPTURES_DIR.
  • Facebook rotated its payload (replay errors like story_create=null, no_template_captured, repeated 502s) → re-capture that one kind by hand.

Ask the agent to call capture_status any time — it reports exactly what's ready and what to do.

Configuration

All optional; sensible loopback defaults. See .env.example.

Env Default Purpose
FBEM_HTTP_PORT 47102 Bridge HTTP API port
FBEM_WS_PORT 9224 Extension WebSocket port
FBEM_WS_HOST 127.0.0.1 WS bind host (must be loopback)
FBEM_HOME ~/.fbem Base dir for state
FBEM_CAPTURES_DIR $FBEM_HOME/captures Captured templates (contain live tokens)
FBEM_MEDIA_DIR $FBEM_HOME/media Media served to the extension
FBEM_BRIDGE_URL http://127.0.0.1:47102 Where the MCP reaches the bridge
FBEM_TAB_TTL_S 7200 Advanced: tab auto-reload window (seconds) that keeps tokens fresh
FBEM_TAB_ACTIVE_WINDOW_S 90 Advanced: how recently a capture must arrive to count the tab as "active" (seconds)
FBEM_PUBLISH_OP_RE (built-in regex) Advanced: override the regex matching the Reel publish mutation (set only if FB renames the op)

Security

  • Loopback-only & unauthenticated by design. Startup refuses a non-loopback FBEM_WS_HOST. Never port-forward or proxy it.
  • Captures contain live FB tokens (fb_dtsg, lsd, cookies). captures/ is git-ignored — never commit it. Treat FBEM_CAPTURES_DIR as a secret.
  • No tokens in code. The callback secret is random per process; volatile FB tokens are scraped live from the page at replay time.

Project layout

fbem/
  bridge/        persistent backend (FastAPI :47102 + extension WS :9224)
    server.py · ws_server.py · bridge_client.py · capture_store.py · config.py · run.py
  mcp/           the MCP server (any-agent pluggable)
    server.py · registry.py · bridge_api.py
    tools/       ONE FILE PER TOOL  ← the contribution surface
      _template.py · post_reel.py · post_photos.py · switch_profile.py
      get_identity.py · health.py · capture_status.py
extension/       Chrome MV3 (crawler snapshot + replay)
docs/PROTOCOL.md the decoded native upload protocol

Contributing

Adding a tool is one file. Copy fbem/mcp/tools/_template.py, write a typed async function, done — it's auto-discovered. See CONTRIBUTING.md.

License

MIT.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured