Meta Ad Library MCP

An MCP server that searches the Meta (Facebook) Ad Library by keyword and returns each ad's advertiser, full ad copy, and EU reach (per‑country / age / gender breakdown) — the data the official Ad Library API does not expose for commercial ads.

It works by driving the public Ad Library like a real user (Playwright + your real Chrome) and reading the page's own data — no API key, no login required.

search_ads("dental implants", country="DE", limit=50, fetch_reach=True)
  → 50 advertisers + ad copy + EU reach, ranked

Requirements

• A residential internet connection. Meta rd_challenge‑403s datacenter IPs (AWS/GCP/VPS) within seconds. On a normal home/office machine it just works; on a server you must set RESIDENTIAL_PROXY_URL (see Hosting).

• Python 3.10+

• Google Chrome installed (the server launches your real Chrome for a clean fingerprint). No Chrome? Set META_ADS_CHANNEL="" to use Playwright's bundled Chromium.

Related MCP server: Facebook Ads Library MCP Server

Install (uv — recommended)

git clone https://github.com/konstantin-tradient/meta-ad-library-mcp.git
cd meta-ad-library-mcp
uv sync                          # creates an isolated venv from pyproject.toml
uv run playwright install chromium

Quick local check (no MCP client needed):

uv run python smoke.py "dental implants" DE     # live: search + reach
uv run --extra dev pytest -q                    # offline parser test

py -m pip install -r requirements.txt && py -m playwright install chromium   # Windows
python3 -m pip install -r requirements.txt && python3 -m playwright install chromium

Then run/register with py -m meta_ads_mcp.server + --env PYTHONPATH=<dir>.

No-clone install (uvx)

To use it on a machine without cloning, uvx fetches + builds straight from GitHub. Install Chromium once, then register the connector:

# one-time: download the browser into the shared cache
uvx --from playwright playwright install chromium

# Claude Code — pin a tag so deps don't drift
claude mcp add meta-ads --scope user -- \
  uvx --from git+https://github.com/konstantin-tradient/meta-ad-library-mcp.git@v0.1.0 meta-ads-mcp

(Claude Desktop: "command": "/full/path/to/uvx", "args": ["--from", "git+https://github.com/konstantin-tradient/meta-ad-library-mcp.git@v0.1.0", "meta-ads-mcp"].)

Use this for machines that only run the tool. To develop it, clone + uv run below (so your local edits apply and uv.lock pins deps). If you hit a "browser not found" error, re-run playwright install chromium.

Connect it to Claude (from a clone)

The MCP command is just uv run --directory <clone> meta-ads-mcp — uv auto-syncs the venv, so there's nothing to install globally.

Claude Code (CLI)

# --scope user = available in every project. Use the clone's ABSOLUTE path.
claude mcp add meta-ads --scope user -- uv run --directory /abs/path/to/meta-ad-library-mcp meta-ads-mcp

Restart Claude Code, then ask: "search the Meta Ad Library for dental implants in Germany."

Claude Desktop (Mac/Windows app)

Edit claude_desktop_config.json (Windows: %APPDATA%\Claude\, macOS: ~/Library/Application Support/Claude/) and add under mcpServers (use the full path to uv — which uv / where uv):

"meta-ads": {
  "command": "/full/path/to/uv",
  "args": ["run", "--directory", "/abs/path/to/meta-ad-library-mcp", "meta-ads-mcp"]
}

Fully quit and reopen Claude Desktop (tray → Quit). The tools appear in the chat.

claude.ai (web) can't run a local server — it only connects to remote MCP servers (public HTTPS URL + auth). See Hosting.

Tools

• Use an EU country code (DE, FR, NL…) to surface ads that carry EU‑reach data. Ads not delivered in the EU have eu_total_reach = null (Meta's design).

• fetch_reach=True clicks every result in one warm session (~3–4s/ad) — great for ≤50; otherwise list fast and pull reach per‑ad with get_ad_details.

How it works

• rd_challenge is a soft gate — the first request 403s but sets a clearance cookie; the server warms the session (homepage → library landing) and retries, which clears it. (This is what made headless work without a paid API.)

• List = the page's own GraphQL, not DOM scraping. search_ads reads the SSR'd first page (embedded JSON) + AdLibrarySearchPaginationQuery captured on scroll, so advertiser + ad copy are reliable for every ad (incl. image/video), and it paginates to 50+.

• Reach comes from AdLibraryV3AdDetailsQuery, which only fires when you click an ad's "See ad details" on the search page — so reach is gathered by clicking, either in batch (fetch_reach=True) or per‑ad (get_ad_details).

Environment variables

Hosting / remote (claude.ai)

Runs locally on a residential IP for free — ideal for interactive use. To reach it from claude.ai (web) or run it 24/7 on a server, you need:

1. HTTP transport — switch mcp.run() to streamable-http in server.py.

2. A public HTTPS endpoint with auth (claude.ai connectors expect OAuth).

3. Residential egress — set RESIDENTIAL_PROXY_URL; there is no free way around the datacenter‑IP rd_challenge.

Legal

This automates access to a public transparency tool for competitive research. It nonetheless falls under Meta's automated‑access terms — use a disposable/burner account if you host it, pace conservatively, and don't hammer. Provided as‑is.